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  • 1. Du, X.
    et al.
    Song, William Wei
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Conceptual graph: an approach to improve quality of business services modeling2016In: International Journal of Web Services Research, ISSN 1545-7362, E-ISSN 1546-5004, Vol. 13, no 2, p. 20-45Article in journal (Refereed)
    Abstract [en]

    Business development or renovation is to introduce newer, more efficient routines and processes through redesign or re-engineering of businesses, which form a set of business patterns. Business patterns encapsulate the best solutions for business practices and tasks confirming business strategies of the enterprise. Nowadays, services with SOA (Service oriented-Architecture) become more and more important in implementing and supporting business routines and processes. An enterprise that can encapsulate their SOA solutions into patterns will make the business more agile and effective. However, with the SOA solutions to automation of locating relevant instance services for its business patterns with minimum human intervention, one has to look into the semantic and operational difference between the description of a business pattern and that of an instance service - a gap between the two levels of descriptions. In this paper, the authors introduce a conceptual modelling method to address how to bridge the gap, by a semantic service description for usage contextual approach formalized with the conceptual graphs formalism. Most importantly, they evaluate this model in this paper to study its usability in practice. 

  • 2.
    Du, X.
    et al.
    British Telecom.
    Song, William Wei
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Munro, M.
    Durham University.
    CbSSDF and OWL-S: A Scenario-Based Solution Analysis and Comparison2011In: Information Systems Development: Asian experiences, Springer Science+Business Media B.V., 2011, p. 3-14Chapter in book (Refereed)
    Abstract [en]

    To tackle the semantic issues of web services, we proposed a comprehensive semantic service description framework – CbSSDF – and a two-step service discovery mechanism based on CbSSDF to help service users to easily locate their required services. In this chapter, we evaluate the framework by comparing it with OWL-S to examine how the proposed framework can improve the efficiency and effectiveness of service discovery and composition. The evaluation is done through analysing the different solutions proposed based on these two frameworks for achieving a series of tasks in a scenario.

  • 3. Du, Xiaofeng
    et al.
    Song, William Wei
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Conceptual graph: an approach to improve quality of business services modeling2014In: Web Information Systems Engineering - WISE 2013 workshops: Lecture notes in computer science, Berlin: Springer Berlin/Heidelberg, 2014, Vol. 8182, p. 239-251Conference paper (Refereed)
    Abstract [en]

    Business development or renovation is to introduce newer, more efficient routines and processes through redesign or re-engineering of businesses, which form a set of business patterns. Business patterns encapsulate the best solutions for business practices and tasks confirming business strategies of the enterprise. Nowadays, services with SOA (Service oriented-Architecture) become more and more important in implementing and supporting business routines and processes. An enterprise that can encapsulate their SOA solutions into patterns will make the business more agile and effective. However, with the SOA solutions to automation of locating relevant instance services for its business patterns with minimum human intervention one has to look into the semantic and operational difference between the description of a business pattern and that of an instance service-a gap between the two levels of semantic descriptions. In this paper, we propose a conceptual modeling method to address how to bridge the gap, by a semantic service description for usage contextual approach formalized with the conceptual graphs formalism.

  • 4.
    Du, Xiaofeng
    et al.
    British Telecommun PLC, London, England..
    Song, William Wei
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Quality improvement framework for business oriented geo-spatial data2015In: Web Information Systems Engineering - WISE 2014 workshops, Berlin: Springer Berlin/Heidelberg, 2015, Vol. 9051, p. 239-249Conference paper (Refereed)
    Abstract [en]

    In the past few years, Geo-spatial data quality has received increasing attention and concerns. As more and more business decisions are made based on data analytic result from geo-spatial related data, low quality data means wrong or inappropriate decisions, which could have substantial effects on a business's future. In this paper, we propose a framework that can systematically ensure and improve geo-spatial data quality throughout the whole life cycle of data.

  • 5.
    Du, Xiaofeng
    et al.
    University of Durham, UK.
    Song, William Wei
    University of Durham, UK.
    Munro, Malcolm
    University of Durham, UK.
    CbSSDF: A Two-Layer Conceptual Graph Approach to Web Services Description and Composition: A Scenario Based Solution Analysis and Comparison with OWL-S2011In: International Journal on Information System Modeling and Design, ISSN 1947-8186, Vol. 2, no 4, p. 82-103Article in journal (Refereed)
    Abstract [en]

    Web services as a new distributed system technology have been widely adopted by industries in the areas, such as enterprise application integration (EAI), business process management (BPM), and virtual organization (VO). However, lack of semantics in the current Web service standards has become a major barrier in service discovery and composition. To tackle the semantic issues of Web services, this paper proposes a comprehensive semantic service description framework – CbSSDF and a two-step service discovery mechanism based on CbSSDF—to help service users to easily locate their required services. The authors give a detailed explanation of CbSSDF, and then evaluate the framework by comparing it with OWL-S to examine how the proposed framework can improve the efficiency and effectiveness of service discovery and composition. The evaluation is carried out by analysing the different proposed solutions based on these two frameworks for achieving a series of tasks in a scenario.

  • 6.
    Khan, Taha
    et al.
    Dalarna University, School of Technology and Business Studies, Computer Engineering.
    Memedi, Mevludin
    Dalarna University, School of Technology and Business Studies, Computer Engineering.
    Song, William Wei
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Westin, Jerker
    Dalarna University, School of Technology and Business Studies, Computer Engineering.
    A case study in healthcare informatics: a telemedicine framework for automated parkinson’s disease symptom assessment2014In: Smart Health: International Conference, ICSH 2014, Beijing, China, July 10-11, 2014. Proceedings / [ed] Zheng X. et al., Springer, 2014, p. 197-199Conference paper (Refereed)
    Abstract [en]

    This paper reports the development and evaluation of a mobile-based telemedicine framework for enabling remote monitoring of Parkinson’s disease (PD) symptoms. The system consists of different measurement devices for remote collection, processing and presentation of symptom data of advanced PD patients. Different numerical analysis techniques were applied on the raw symptom data to extract clinically symptom information which in turn were then used in a machine learning process to be mapped to the standard clinician-based measures. The methods for quantitative and automatic assessment of symptoms were then evaluated for their clinimetric properties such as validity, reliability and sensitivity to change. Results from several studies indicate that the methods had good metrics suggesting that they are appropriate to quantitatively and objectively assess the severity of motor impairments of PD patients.

  • 7.
    Li, Jun
    et al.
    Zhejiang University.
    Zheng, Xiaolin
    Zhejiang University.
    Chen, Deren
    Zhejiang University.
    Song, William Wei
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Trust based service selection in service oriented environment2012In: International Journal of Web Services Research, ISSN 1545-7362, E-ISSN 1546-5004, Vol. 9, no 3, p. 23-42Article in journal (Refereed)
    Abstract [en]

    In a service-oriented environment, it is inevitable and indeed quite common to deal with web services, whose reliability is unknown to the users. The reputation system is a popular technique currently used for providing a global quality score of a service provider to requesters. However, such global information is far from sufficient for service requesters to choose the most qualified services. In order to tackle this problem, the authors present a trust based architecture containing a computational trust model for quantifying and comparing the trustworthiness of services. In this trust model, they firstly construct a network based on the direct trust relations between participants and rating similarity in service oriented environments, then propose an algorithm for propagating trust in the social network based environment which can produce personalized trust information for a specific service requester, and finally implement the trust model and simulate various malicious behaviors in not only dense but also sparse networks which can verify the attack-resistant and robustness of the proposed approach. The experiment results also demonstrate the feasibility and benefit of the approach.

  • 8.
    Li, Jun
    et al.
    College of Physics and Electronic Information Engineering, Wenzhou University, China, College of Computer Science, Zhejiang University, China.
    Zheng, Xiao-Lin
    College of Computer Science, Zhejiang University, China.
    Chen, Song-Tao
    College of Computer Science, Zhejiang University, China.
    Song, William Wei
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Chen, De-Ren
    College of Computer Science, Zhejiang University, China.
    An efficient and reliable approach for quality-of-service-aware service composition2014In: Information Sciences, ISSN 0020-0255, E-ISSN 1872-6291, Vol. 269, p. 238-254Article in journal (Refereed)
    Abstract [en]

    With the rapidly increasing number of independently developed Web services that provide similar functionalities with varied quality of service (QoS), service composition is considered as a problem in the selection of component services that are in accordance with users' QoS requirements; a practice known as the QoS-aware service composition problem. However, current solutions are unsuitable for most real-time decision-making service composition applications required to obtain a relatively optimal result within a reasonable amount of time. These services are also unreliable (or even risky) given the open service-oriented environment. In this paper, we address these problems and propose a novel heuristic algorithm for an efficient and reliable selection of trustworthy services in a service composition. The proposed algorithm consists of three steps. First, a trust-based selection method is used to filter untrustworthy component services. Second, convex hulls are constructed to reduce the search space in the process of service composition. Finally, a heuristic global optimization approach is used to obtain the near-optimal solution. The results demonstrate that our approach obtains a close-to-optimal and reliable solution within a reasonable computation time.

  • 9.
    Liao, G.
    et al.
    Jiangxi University of Finance and Economics.
    Song, William Wei
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Shu, L.
    Jiangxi University of Finace and Economics.
    Wan, C.
    Jiangxi University of Finace and Economics.
    Using Real-Time Event Stream Framework to Develop RFID-based Retailer Supermarket Systems2011In: Information Systems Development, Springer Science+Business Media B.V., 2011, p. 429-440Chapter in book (Refereed)
    Abstract [en]

    With the increasing mature of hardware technology and the continuous reduction of RFID production cost, the technology has been widely used in many fields. This paper proposes a real-time event stream framework for RFID system and develops a retail supermarket management system for the purpose of commodity monitoring and tracing. An event-centric architecture for the RFID real-time is designed, which can support both real-time event queries over event streams and history event queries on event databases. Event types of retail supermarkets are analyzed in details, and the event relation diagram among them is given. Based on the framework, an event filtering method using a hash table to remove redundant data and an improved SASE method to process complex events are presented.

  • 10.
    Lou, Qing
    et al.
    Zhejiang Wanli University.
    Zhang, Shaozhong
    Zhejiang Wanli University.
    Song, William Wei
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Combination of evaluation methods for assessing the quality of service for express delivery industry2015In: Web Information Systems Engineering – WISE 2015: 16th International Conference, Miami, FL, USA, November 1-3, 2015, Proceedings, Part II, Springer, 2015, Vol. 9419, p. 414-425Conference paper (Refereed)
    Abstract [en]

    In the view of the current service development of the express delivery industry and the data quality problem experienced thereof, we consider to construct an index-based evaluation system for the service quality for the express delivery industry through the analysis of market investigation and data analysis. This system applies analytic hierarchy process (AHP), to survey expert’s options and obtain the index weights. The analytical evaluation of service quality for the specific express delivery company is conducted with the fuzzy comprehensive evaluation method. A service satisfaction degree for the express delivery company is generated to improve the overall service performance. Through evaluating results of the solution to the problems in the quality of service, this paper aims at establishing a guideline to improve their service quality in express delivery enterprises. This research aims at the development of a novel method for service quality evaluation in the area of the fast growing businesses of express delivery enterprises.

  • 11. Peng, X.
    et al.
    Shu, W.
    Song, William Wei
    Dalarna University, School of Technology and Business Studies, Information Systems. Jiangxi University of Finance and Economics, Nanchang, China.
    Automatic classification of ECG signals in WBAN based on convolutional neural network and long-short term memory network2019Conference paper (Refereed)
  • 12.
    Sarkheyli, Azadeh
    et al.
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Sarkheyli-Hägele, Arezoo
    Song, William Wei
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Development of Dynamic Intelligent Risk Management Approach2019In: Proceedings of 3rd International Conference on Computational Intelligence and Applications, IEEE, 2019, p. 128-132, article id 8711543Conference paper (Refereed)
    Abstract [en]

    A dynamic Risk Management (RM) provides monitoring, recognition, assessment, and follow-up action to reduce the risk whenever it rises. The main problem with dynamic RM (when applied to plan for, how the unknown risk in unexpected conditions should be addressed in information systems) is to design an especial control to recover/avoid of risks/attacks that is proposed in this research. The methodology, called Dynamic Intelligent RM (DIRM) is comprised of four phases which are interactively linked; (1) Aggregation of data and information (2) Risk identification (3) RM using an optional control and (4) RM using an especial control. This study, therefore, investigated the use of artificial neural networks to improve risk identification via adaptive neural fuzzy interface systems and control specification using learning vector quantization. Further experimental investigations are needed to estimate the results of DIRM toward unexpected conditions in the real environment.

  • 13.
    Sarkheyli, Azadeh
    et al.
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Song, William Wei
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Delone and McLean IS success model for evaluating knowledge sharing2019Conference paper (Refereed)
    Abstract [en]

    It is generally agreed upon that Knowledge Sharing (KS) is an effective process within organizational settings. It is also the corner-stone of many firm’s Knowledge Management (KM) Strategy. Despite the growing significance of KS for organization’s competitiveness and performance, analyzing the level of KS make it difficult for KM to achieve the optimum level of KS. Because of these causes, this study attempts to develop a conceptual model based on one of the IS Theories that is determined as the best model for evaluating the level of KS. In other words, it is Delone and McLean IS Success model that is presented according to the Communication Theory and it covers various perspectives of assessing Information Systems (IS). Hence, these dimensions cause it to be a multidimensional measuring model that could be a suitable model for realizing the level of KS.

  • 14.
    Song, William Wei
    Dalarna University, School of Technology and Business Studies, Information Systems.
    A Conceptual Framework of Information Analysis and Modelling for E-Health2014In: Smart Health: International Conference, ICSH 2014, Beijing, China, July 10-11, 2014. Proceedings / [ed] Don Harris, Berlin: Springer Berlin/Heidelberg, 2014, Vol. 8549, p. 142-147Conference paper (Refereed)
    Abstract [en]

    E-health (or e-healthcare) aims at applying modern information and telecommunication technologies in the healthcare sector. Recently, more and more research attention has been paid to this area, from clinic data analysis to patient record management. If we say the e-health has been mainly dealing with patient data analysis and various disease diagnosis at its early time, nowadays various data sources, such as social network, physician and patients’ blogs, and various monitoring data (like sensors attached to PD patients at home) are widely used for aid of better disease diagnosis through gathering richer experts’ knowledge and expertise, richer data (from patients, diseases, diagnosis, medical experiments, etc.) for analysis, and quicker (or better timely) access to various resources (e.g. telemedicine) pervasively.

  • 15.
    Song, William Wei
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Gamification and virtual classroom management2015In: ICKET 2015, 2015Conference paper (Refereed)
  • 16.
    Song, William Wei
    et al.
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Chen, B.
    Durham University.
    Tavner, P.
    Durham University.
    Knowledge-based Information Systems: A wind farm case study2011Conference paper (Refereed)
  • 17.
    Song, William Wei
    et al.
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Forsman, Anders
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Building a Learning Architecture: e-Learning and e-Services2012In: NGL 2012 NEXT GENERATION LEARNING CONFERENCE, February 21–23, 2012, Falun, Sweden: Conference Proceedings, Falun: Högskolan Dalarna , 2012, p. 137-148Conference paper (Other academic)
    Abstract [en]

    With the rapid advancement of the webtechnology, more and more educationalresources, including software applications forteaching/learning methods, are available acrossthe web, which enables learners to access thelearning materials and use various ways oflearning at any time and any place. Moreover,various web-based teaching/learning approacheshave been developed during the last decade toenhance the capability of both educators andlearners. Particularly, researchers from bothcomputer science and education are workingtogether, collaboratively focusing ondevelopment of pedagogically enablingtechnologies which are believed to improve theinfrastructure of education systems andprocesses, including curriculum developmentmodels, teaching/learning methods, managementof educational resources, systematic organizationof communication and dissemination ofknowledge and skills required by and adapted tousers. Despite of its fast development, however,there are still great gaps between learningintentions, organization of supporting resources,management of educational structures,knowledge points to be learned and interknowledgepoint relationships such as prerequisites,assessment of learning outcomes, andtechnical and pedagogic approaches. Moreconcretely, the issues have been widelyaddressed in literature include a) availability andusefulness of resources, b) smooth integration ofvarious resources and their presentation, c)learners’ requirements and supposed learningoutcomes, d) automation of learning process interms of its schedule and interaction, and e)customization of the resources and agilemanagement of the learning services for deliveryas well as necessary human interferences.Considering these problems and bearing in mindthe advanced web technology of which weshould make full use, in this report we willaddress the following two aspects of systematicarchitecture of learning/teaching systems: 1)learning objects – a semantic description andorganization of learning resources using the webservice models and methods, and 2) learningservices discovery and learning goals match foreducational coordination and learning serviceplanning.

  • 18.
    Song, William Wei
    et al.
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Forsman, Anders
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Yan, Jia
    Dalarna University, School of Humanities and Media Studies, Chinese.
    An e-Curriculum Based Systematic Resource Integration Approach to Web-Based Education2014In: International Journal of Information and Education Technology, ISSN 2010-3689, ISSN 2010-3689, Vol. 5, no 7, p. 495-501Article in journal (Refereed)
    Abstract [en]

    With the rapid advancement of the web technology, more and more educational resources, including software applications for teaching/learning methods, are available across the web, which enables learners to access the learning materials and use various ways of learning at any time and any place. Researchers from both computer science and education are working together, collaboratively focusing on development of pedagogically enabling technologies which are believed to improve the infrastructure of education systems and processes, including curriculum development models, teaching/learning methods, management of educational resources, systematic organization of communication and dissemination of knowledge and skills required by and adapted to users. In this paper we address the following two aspects of systematic integration architecture of educational systems: 1) learning objects – a semantic description and organization of learning resources using the web service models and methods, and 2) learning services discovery and learning goals match for educational coordination and learning service planning.

  • 19.
    Song, William Wei
    et al.
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Lin, Chenlu
    Avdic, Anders
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Forsman, Anders
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Åkerblom, Leif
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Collaborative Filtering with Data Classification: A Combined Approach to Hotel Recommendation Systems2016In: 25th International Conference on Information Systems Development (ISD2016 Poland), 2016Conference paper (Refereed)
    Abstract [en]

    Recommendation systems aim to help users make decisions more efficiently. The most widely used method in recommendation systems is collaborative filtering, of which, a critical step is to analyze a user's preferences and make recommendations of products or services based on similarity analysis with other users' ratings. However, collaborative filtering is less usable for recommendation facing the "cold start" problem, i.e. few comments being given to products or services. To tackle this problem, we propose an improved method that combines collaborative filtering and data classification. We use hotel recommendation data to test the proposed method. The accuracy of the recommendation is determined by the rankings. Evaluations regarding the accuracies of Top-3 and Top-10 recommendation lists using the 10-fold cross-validation method and ROC curves are conducted. The results show that the Top-3 hotel recommendation list proposed by the combined method has the superiority of the recommendation performance than the Top-10 list under the cold start condition in most of the times.

  • 20.
    Song, William Wei
    et al.
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Lin, Chenlu
    Forsman, Anders
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Avdic, Anders
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Åkerblom, Leif
    Dalarna University, School of Technology and Business Studies, Information Systems.
    An Euclidean similarity measurement approach for hotel rating data analysis2017In: Proceedings 2017 2nd IEEE International Conference on Cloud Computing and Big Data Analysis, ICCCBDA 2017, 2017, p. 293-298Conference paper (Refereed)
    Abstract [en]

    The most widely used method in recommendation systems is collaborative filtering, of which, a critical step is to analyze a user's preferences and make recommendations of products or services based on similarity analysis with other users' ratings. However, collaborative filtering is less usable for recommendation facing the 'cold start' problem, i.e. few comments being given to products or services. To tackle this problem, we propose an improved method that combines collaborative filtering and data classification. We use hotel recommendation data to test the proposed method. The accuracy of the recommendation is determined by the rankings. Evaluations regarding the accuracies of Top-3 and Top-10 recommendation lists using the 10-fold cross-validation method and ROC curves are conducted. The results show that the Top-3 hotel recommendation list proposed by the combined method has the superiority of the recommendation performance than the Top-10 list under the cold start condition in most of the times.

  • 21.
    Song, William Wei
    et al.
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Soomro, Aijaz
    Durham University.
    Li, Yang
    British Telecom.
    Liu, Qin
    Tongji University.
    A structural analysis of SLAs and dependencies using conceptual modelling approach2013In: Proceedings of the international conference COMPSAC 2013-Workshop on Service Sciences & Systems (SSS), IEEE CS Press , 2013, p. 439-444Conference paper (Refereed)
    Abstract [en]

    Making good use of Service Level Agreements (SLA) becomes crucial for an enterprise both to provide value added products and services to customers and to protect the interest of parties involved in the business activities. Well formed and effective structural representation and management of SLAs in conceptual modeling can greatly support the understanding and communication of service development and deployment as well as maintenance of quality of service. Existing specifications and structures for SLAs do not fully formalize and support for different automatic and dynamic behavioral aspects needed within business enterprises due to lack of study focusing on SLAs templates and their contents, which are mostly written on Natural Language (NL). We address the issues of how to use conceptual models to describe the structures of SLAs and the various relationships between SLAs and their items, and hence to better depict business domains. With focus on the contents, process, and dependencies among SLAs, we aim to use so generated concept model for service discovery, service delivery and scheduling.

  • 22.
    Song, William Wei
    et al.
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Wu, Qinzhu
    Forsman, Anders
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Yu, Zukun
    Zhejiang University.
    A computational model for trust-based collaborative filtering: an empirical study of hotel recommendations2013In: Web Information Systems Engineering - WISE 2013: 14th International Conference, Nanjing, China, October 13-15, 2013, Proceedings, Part II / [ed] Lin, X., Manolopoulos, Y., Srivastava, D., Huang, G., 2013, Vol. 8182, p. 266-279Conference paper (Refereed)
    Abstract [en]

    The inherent weakness of the data on user ratings collected from the web, such as sparsity and cold-start, has limited the data analysis capability and prediction accuracy. To alleviate this problem, trust is incorporated in the CF approaches with encouraging experimental results. In this paper, we propose a computational model for trust-based CF with a method to generate and propagate trust in a social network. We apply this method to measure trusts on users’ ratings of hotels and show its feasibility by comparing the testing results with the traditional CF methods, e.g. Mean Absolute Error.

  • 23.
    Song, William Wei
    et al.
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Zhang, Shaozhong
    Zhejiang Wanli University.
    Ding, Minjie
    Zhejiang Wanli University.
    A combined prediction model of container volume based on residual correction2016Conference paper (Refereed)
    Abstract [en]

    Semantic analysis is an important part of natural language processing, and it has a broadly application in the network information processing. This paper presents a semantic analysis framework based on the directed weighted graph. The paper uses a directed weighted graph for semantic classification. The methodology takes the information semantic analysis as the goal in network-oriented approach, particularly in E-commerce user reviews. It looks the formal semantics lexical as semantic body and denoted by nodes. It uses links to represent relationship between the nodes and calculated by weights. Directed links are used to connect to each other in nodes, which semantic vocabulary is interrelated between nodes. Then a directed weighted graph is constructed by semantic nodes and their interrelationships relations. The experimental results and analysis show that the proposed method in the paper can classify the semantics into different classification according to the path length threshold requirement.

  • 24.
    Song, William Wei
    et al.
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Zhang, Sheng
    Nanchang Hangkong University.
    Tan, Pengliu
    Nanchang Hangkong University.
    Bao, Xiaoling
    Nanchang Hangkong University.
    Liu, Xiaodong
    Nanchang Hangkong University.
    Community-based message opportunistic transmission2016In: Transforming Healthcare Through Information Systems: Proceedings of the 24th International Conference on Information Systems Development, 2016, Vol. 17, p. 79-93Conference paper (Refereed)
    Abstract [en]

    Mobile Social Networks (MSNs) is a kind of opportunistic networks, which is composed of a large number of mobile nodes with social characteristic. Up to now, the prevalent communitybased routing algorithms mostly select the most optimal social characteristic node to forward messages. But they almost don't consider the effect of community distribution on mobile nodes and the time-varying characteristic of network. These algorithms usually result in high consumption of network resources and low successful delivery ratio if they are used directly in mobile social networks. We build a time-varying community-based network model, and propose a community-aware message opportunistic transmission algorithm (CMOT) in this paper. For inter-community messages transmission, the CMOT chooses an optimal community path by comparing the community transmission probability. For intra-community in local community, messages are forwarded according to the encounter probability between nodes. The simulation results show that the CMOT improves the message successful delivery ratio and reduces network overhead obviously, compared with classical routing algorithms, such as PRoPHET, MaxProp, Spray and Wait, and CMTS.

  • 25.
    Song, William Wei
    et al.
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Zou, Luyi
    LDA-TM: A two-step approach to twitter topic data clustering2016In: Proceedings of the 2016 IEEE International Conference on Cloud Computing and Big Data Analysis, IEEE conference proceedings, 2016, p. 342-347Conference paper (Refereed)
    Abstract [en]

    The Twitter System is the biggest social network in the world, and everyday millions of tweets are posted and talked about, expressing various views and opinions. A large variety of research activities have been conducted to study how the opinions can be clustered and analyzed, so that some tendencies can be uncovered. Due to the inherent weaknesses of the tweets - very short texts and very informal styles of writing - it is rather hard to make an investigation of tweet data analysis giving results with good performance and accuracy. In this paper, we intend to attack the problem from another aspect - using a two-layer structure to analyze the twitter data: LDA with topic map modelling. The experimental results demonstrate that this approach shows a progress in twitter data analysis. However, more experiments with this method are expected in order to ensure that the accurate analytic results can be maintained.

  • 26.
    Soomro, A.
    et al.
    Durham University.
    Song, William Wei
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Developing and Managing SLAs for Business Applications in Information Systems2012In: Communications in Computer and Information Science: Emerging Trends and Applications in Information Communication Technologies, Springer Berlin/Heidelberg, 2012, p. 489-500Chapter in book (Refereed)
    Abstract [en]

    Use of Service Level Agreements (SLAs) is crucial for a business organization to provide the value added goods and services to customers to achieve the business goals successfully. Efficient structural representation and management of SLAs can solve the problems of quality of service evaluation during service development and deployment. Existing specifications and structures for SLAs do not fully formalize and support for different automatic and dynamic behavioural aspects needed within the Business Organizations for SLAs. We address the issues on how to formalize and document the structures of SLAs for better utilization and improved results in various business domains. Our main focus is on the contents and processes of SLAs during service discovery, service delivery and scheduling of the services effectively and efficiently.

  • 27.
    Wan, Benting
    et al.
    Jiang Xi University of Finance and Economics.
    Qin, Y
    Song, William Wei
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Path planning strategy of mobile nodes based on improved RRT algorithm2019In: Proceedings of 3rd International Conference on Computational Intellligence and Applications, IEEE, 2019, p. 228-234, article id 8711533Conference paper (Refereed)
    Abstract [en]

    The RRT algorithm is widely used in the high-dimensional path planning in a dynamic environment, and well adapted to the dynamics of motion of the mobile node needs. However, in large scale wireless sensor networks (WSN), the RRT algorithm lacks stability and is easy to deviate from the optimal path. In this paper we proposes a path planning algorithm called E-RRT to improve the problems that RRT has. The method proposed includes the coverage density of obstacle for initialize searching area for the exploring random tree, and the gradually extended region used to ensure the path to be found. The method also adopts the greedy algorithm to delete the intermediate point in the point sequence of path for an optimal path, and the quadratic Bezier curve to smooth the path for the mobile sensor node. The path found can be the shortest, collision-free and smoothing, and therefore to satisfy the requirement of path planning for mobile sensor nodes. The simulation results show that the E-RRT algorithm outperforms the RRT algorithm.

  • 28. Wang, J.
    et al.
    Liu, G.
    Song, William Wei
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Firefly algorithm with proportional adjustment strategy2019Conference paper (Refereed)
    Abstract [en]

    Firefly algorithm is a new heuristic intelligent optimization algorithm and has excellent performance in many optimization problems. However, in the face of some multimodal and high-dimensional problems, the algorithm is easy to fall into the local optimum. In order to avoid this phenomenon, this paper proposed an improved firefly algorithm with proportional adjustment strategy for alpha and beta. Thirteen well-known benchmark functions are used to verify the performance of our proposed algorithm, the computational results show that our proposed algorithm is more efficient than many other FA algorithms.

  • 29. Yan, Su-Rong
    et al.
    Zheng, Xiao-Lin
    Wang, Yan
    Song, William Wei
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Zhang, Wen-Yu
    A graph-based comprehensive reputation model: exploiting the social context of opinions to enhance trust in social commerce2015In: Information Sciences, ISSN 0020-0255, E-ISSN 1872-6291, Vol. 318, p. 51-72Article in journal (Refereed)
    Abstract [en]

    Social commerce is a promising new paradigm of e-commerce. Given the open and dynamic nature of social media infrastructure, the governance structures of social commerce are usually realized through reputation mechanisms. However, the existing approaches to the prediction of trust in future interactions are based on personal observations and/or publicly shared information in social commerce application. As a result, the indications are unreliable and biased because of limited first-hand information and stake-holder manipulation for personal strategic interests. Methods that extract trust values from social links among users can improve the performance of reputation mechanisms. Nonetheless, these links may not always be available and are typically sparse in social commerce, especially for new users. Thus, this study proposes a new graph-based comprehensive reputation model to build trust by fully exploiting the social context of opinions based on the activities and relationship networks of opinion contributors. The proposed model incorporates the behavioral activities and social relationship reputations of users to combat the scarcity of first-hand information and identifies a set of critical trust factors to mitigate the subjectivity of opinions and the dynamics of behaviors. Furthermore, we enhance the model by developing a novel deception filtering approach to discard "bad-mouthing" opinions and by exploiting a personalized direct distrust (risk) metric to identify malicious providers. Experimental results show that the proposed reputation model can outperform other trust and reputation models in most cases. (C) 2014 Elsevier Inc. All rights reserved.

  • 30. Yu, Z.
    et al.
    Song, William Wei
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Zheng, X.
    Chen, D.
    Combining trust propagation and topic-level user interest expansion in recommender systems2016In: International Journal of Web Services Research, ISSN 1545-7362, E-ISSN 1546-5004, Vol. 13, no 2, p. 1-19Article in journal (Refereed)
    Abstract [en]

    With the development of E-commerce and Internet, items are becoming more and more, which brings a so called information overload problem that it is hard for users to find the items they would be interested in. Recommender systems emerge to response to this problem through discovering user interest based on their rating information automatically. But the rating information is usually sparse compared to all the possible ratings between users and items. Therefore, it is hard to find out user interest, which is the most important part in recommender systems. In this paper, we propose a recommendation method TT-Rec that employs trust propagation and topic-level user interest expansion to predict user interest. TT-Rec uses a reputation-based method to weight users' influence on other users when propagating trust. TT-Rec also considers discovering user interest by expanding user interest in topic level. In the evaluation, we use three metrics MAE, Coverage and F1 to evaluate TT-Rec through comparative experiments. The experiment results show that TT-Rec recommendation method has a good performance. 

  • 31.
    Yu, Zukun
    et al.
    Zhejiang University.
    Song, William Wei
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Zheng, Xiaolin
    Zhejiang University.
    Chen, Deren
    Zhejiang University.
    A Recommender System Model Combining Trust with Topic Maps2013In: World Wide Web: Internet and Web Information Systems: APWeb 2013, 2013Conference paper (Refereed)
    Abstract [en]

    Recommender Systems (RS) aim to suggest users with items that they might like based on users' opinion on items. In practice, information about the users' opinion on items is usually sparse compared to the vast information about users and items. Therefore it is hard to analyze and justify users' favorites, particularly those of cold start users. In this paper, we propose a trust model based on the user trust network, which is composed of the trust relationships among users. We also introduce the widely used conceptual model Topic Map, with which we try to classify items into topics for Recommender analysis. We novelly combine trust relations among users with Topic Maps to resolve the sparsity problem and cold start problem. The evaluation shows our model and method can achieve a good recommendation effect.

  • 32. Zhang, S.
    et al.
    Song, William Wei
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Ding, M.
    Hu, P.
    A multi-semantic classification model of reviews based on directed weighted graph2016In: Web Information Systems Engineering – WISE 2016: 17th International Conference, Shanghai, China, November 8-10, 2016, Proceedings, Part II / [ed] Wojciech Cellary, Mohamed F. Mokbel, Jianmin Wang, Hua Wang, Rui Zhou, Yanchun Zhang, 2016, Vol. 10042, p. 424-435Conference paper (Refereed)
    Abstract [en]

    Semantic and sentimental analysis plays an important role in natural language processing, especially in textual analysis, and has a wide range of applications in web information processing and management. This paper intends to present a sentimental analysis framework based on the directed weighted graph method, which is used for semantic classification of the textual comments, i.e. user reviews, collected from the e-commerce websites. The directed weighted graph defines a formal semantics lexical as a semantic body, denoted to be a node in the graph. The directed links in the graph, representing the relationships between the nodes, are used to connect nodes to each other with their weights. Then a directed weighted graph is constructed with semantic nodes and their interrelationships relations. The experimental results show that the method proposed in the paper can classify the semantics into different classification based on the computation of the path lengths with a threshold. © Springer International Publishing AG 2016.

  • 33.
    Zhang, Sheng
    et al.
    Nanchang Hangkong Univ, Sch Informat Engn, Nanchang, Peoples R China.;Dalarna Univ, Business Intelligence & Informat, Borlange, Sweden..
    Liu, Xiaodong
    Nanchang Hangkong Univ, Sch Informat Engn, Nanchang, Peoples R China..
    Bao, Xiaoling
    Nanchang Hangkong Univ, Sch Informat Engn, Nanchang, Peoples R China..
    Song, William Wei
    Dalarna University, School of Technology and Business Studies, Information Systems.
    Multilayer and multi-agent data fusion in WSN2015In: Web Information Systems Engineering – WISE 2014 Workshops: 15th International Workshops IWCSN 2014, Org2 2014, PCS 2014, and QUAT 2014, Thessaloniki, Greece, October 12-14, 2014, Revised Selected Papers / [ed] Boualem Benatallah, Azer Bestavros, Barbara Catania, Armin Haller, Yannis Manolopoulos, Athena Vakali, Yanchun Zhang, 2015, Vol. 9051, p. 211-225Conference paper (Refereed)
    Abstract [en]

    In the wireless sensor networks, the hardware limitations of sensor nodes cause high transmission failure rate. We usually increase the density of nodes to improve the quality of information transmission. However, it is difficult for the limited energy supply, storage, and communication bandwidth to transfer large amount of redundant sensory data. So we use data fusion technology to remove the redundant data as much as possible before the data transmission. Data fusion becomes a research hotspot in recent years. In this paper we propose a multilayer and multi-agent data fusion mode, and analyze the proposed mode performance in three aspects: hops, energy consumption and network delay. The simulation experiments show that, if reasonably suitable parameters, such as the network scale, the number and size of agents, the data processing cost, are selected, the mobile agent mode is much better than the client/server mode.

  • 34.
    Zhang, Sheng
    et al.
    Nanchang Hangkong Univ, Sch Informat Engn, Nanchang, Peoples R China..
    Wang, Xin
    Nanchang Hangkong Univ, Sch Informat Engn, Nanchang, Peoples R China..
    Yao, Minghui
    Nanchang Hangkong Univ, Sch Informat Engn, Nanchang, Peoples R China..
    Song, William Wei
    Dalarna University, School of Technology and Business Studies, Information Systems. Dalarna Univ, Business Intelligence & Informat, Borlange, Sweden..
    Community-based message transmission with energy efficient in opportunistic networks2016In: Web Information Systems Engineering – WISE 2016: 17th International Conference, Shanghai, China, November 8-10, 2016, Proceedings, Part II, 2016, Vol. 10042, p. 411-423Conference paper (Refereed)
    Abstract [en]

    An Opportunistic Networks is a wireless self-organized network, in which there is no need to build a fixed connectivity between source node and destination node, and the communication depends on the opportunity of node meeting. There are some classical message transmission algorithms, such as PRoPHET, MaxProp, and so on. In the Opportunity Networks with community characteristic, the different message transmission strategies can be sued in inter-community and intra-community. It improves the message successful delivery ratio significantly. The classical algorithms are CMTS and CMOT. We propose an energy efficient message forwarding algorithm (EEMF) for community-based Opportunistic Networks in this paper. When a message is transmitted, we consider not only the community characteristic, but also the residual energy of each node. The simulation results show that the EEMF algorithm can improve the message successful delivery ratio and reduce the network overhead obviously, in comparison with classical routing algorithms, such as PRoPHET, MaxProp, CMTS and CMOT. Meanwhile the EEMF algorithm can reduce the node's energy consumption and prolong the lifetime of network.

1 - 34 of 34
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