The Experts below are selected from a list of 47721 Experts worldwide ranked by ideXlab platform
I-hsien Ting - One of the best experts on this subject based on the ideXlab platform.
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Web Mining Techniques for On-Line Social Networks Analysis: An Overview
Web Mining Applications in E-commerce and E-services, 2009Co-Authors: I-hsien TingAbstract:On-line social networking has become a very popular application of Web 2.0 ages. This chapter provides a study about the issues of using Web Mining techniques for on-line social networks analysis. Techniques and concepts of Web Mining and social networks analysis will be introduced and reviewed in this chapter as well as a discussion about how to use Web Mining techniques for on-line social networks analysis. Moreover, in this chapter, a process to use Web Mining for on-line social networks analysis is proposed, which can be treated as a general process in this research area. Discussions of the challenges and future research are also included in this chapter.
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Web Mining Applications in E-commerce and E-services - Web Mining Applications in E-commerce and E-services
Online Information Review, 2008Co-Authors: I-hsien TingAbstract:Web Mining applications in E-commerce and E-services is a new research direction in the area of Web Mining. Among all of the possible applications in Web research, e-commerce and e-services have been identified as important domains for Web-Mining techniques. Web-Mining techniques also play an important role in e-commerce and eservices, proving to be useful tools for understanding how ecommerce and e-service Web sites and services are used. This book therefore collects new developments and high quality researches for the readers of this book to understand the topics of Web Mining applications in e-commerce and e-services as well as the state-of-the-arts in this area. The chapters in this book include Web usage Mining and user browsing behavior analysis, semantic Web Mining, Web performance Mining, Web Mining for users need understanding, Web Mining for social network analysis and Web Mining for P2P services.
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Web Mining techniques for on-line social networks analysis
2008 International Conference on Service Systems and Service Management, 2008Co-Authors: I-hsien TingAbstract:On-line social networking has become a very popular Web 2.0 application. This paper studies the issues around using Web Mining techniques for analysis of on-line social networks. Techniques and concepts of Web Mining and social networks analysis will be introduced and reviewed along with a discussion about how to use Web Mining techniques for on-line social networks analysis. In addition this paper sets out a process to use Web Mining for on-line social networks analysis, which can be treated as a general process in this research area. Discussions of the challenges and future research are also included.
Fu Xia - One of the best experts on this subject based on the ideXlab platform.
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Research of Semantic Web Mining
Computer Science, 2005Co-Authors: Fu XiaAbstract:This paper gives an overview of the main ideas and the research progress of Semantic Web Mining. Seman- tic Web Mining utilizes the semantic data extracted from the traditional Web or uses the semantic structure of the Se- mantic Web directly to help Web Mining. It combines two fast-developing research areas Semantic Web and Web Mining. This idea is to improve, on the one hand, the results of Web Mining by exploiting the new semantic structures in the Web; and to make use of Web Mining, on the other hand, for building up the Semantic Web. In this paper, how to extract semantics from the Web is introduced firstly. Then exploiting Semantics for Web Mining an Mining the Semantic Web directly is discussed.
K. Syama Sundara Rao - One of the best experts on this subject based on the ideXlab platform.
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Semantic-Based Web Mining Under the Framework of Agent
Data mining and knowledge engineering, 2013Co-Authors: Usha Venna, K. Syama Sundara RaoAbstract:To make automatic service discovery possible, we need to add semantics to the Web service. A semantic-based Web Mining is mentioned by many people in order to improve Web service levels and address the existing Web services requested by the people. The backbone of this solution is clearly the UDDI (private) registry. Earlier for Web Mining service they use WSDL-S approach, which had undergone many semantic problems. Since WSDL-S is a light weight solution approach it fails in reaching the efficiency levels of Web Mining service. To overcome this issue I am proposing a new solution by using OWL-S upper ontologies, which is a full solution for achieving an efficient Web Mining service. A matching algorithm is designed in OWL-S approach which specifies the semantic matching between a service request and a service description which does Semantic-based Web data Mining by combining the semantic Web and Web Mining. Software that implements a given matching algorithm is called a matchmaking engine. Practical implementation of this OWL-S approach in Semantic Web makes Web Mining easier to achieve, but also can improve the effectiveness of Web Mining. Here I am giving knowledge about semantic Web and Web Mining. Finally I propose to build a semantic-based Web Mining model under the framework of the Agent.
Bhupendra Verma - One of the best experts on this subject based on the ideXlab platform.
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Decision Making in Semantic Web Mining
Data mining and knowledge engineering, 2011Co-Authors: Ankita Jain, Illyas Khan, Bhupendra VermaAbstract:The Semantic Web is an extension of the current Web in which information is given well-defined meaning, better enabling computers and people to work in cooperation. Web Mining is the application of data Mining technologies to automatically interact and discover information from Web documents, which can be in structured or unstructured form. We present an enterprise framework regarding semantic Web Mining, which can be used to not only improve the quality of Web Mining results but also enhances the functions and services and the interoperability of educational information systems and standards in the educational field. For online education system we propose an Ontology-based approach to share online data and retrieve all relevant data about students and their courses. Thus semantic Web ontology help build better Web Mining analysis in educational institute and Web Mining in-turns helps contract basis more powerful ontology
Bettina Berendt - One of the best experts on this subject based on the ideXlab platform.
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Semantic Web Mining
Web Semantics: Science, Services and Agents on the World Wide Web, 2006Co-Authors: York Sure, Dave de Roure, Andreas Hotho, Gerd Stumme, Bettina BerendtAbstract:Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. This survey analyzes the convergence of trends from both areas: More and more researchers are working on improving the results of Web Mining by exploiting semantic structures in the Web, and they make use of Web Mining techniques for building the Semantic Web. Last but not least, these techniques can be used for Mining the Semantic Web itself. The Semantic Web is the second-generation WWW, enriched by machine-processable information which supports the user in his tasks. Given the enormous size even of today’s Web, it is impossible to manually enrich all of these resources. Therefore, automated schemes for learning the relevant information are increasingly being used. Web Mining aims at discovering insights about the meaning of Web resources and their usage. Given the primarily syntactical nature of the data being mined, the discovery of meaning is impossible based on these data only. Therefore, formalizations of the semantics of Web sites and navigation behavior are becoming more and more common. Furthermore, Mining the Semantic Web itself is another upcoming application. We argue that the two areas Web Mining and Semantic Web need each other to fulfill their goals, but that the full potential of this convergence is not yet realized. This paper gives an overview of where the two areas meet today, and sketches ways of how a closer integration could be profitable.
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International Semantic Web Conference - Towards Semantic Web Mining
The Semantic Web — ISWC 2002, 2002Co-Authors: Bettina Berendt, Andreas Hotho, Gerd StummeAbstract:Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. The idea is to improve, on the one hand, the results of Web Mining by exploiting the new semantic structures in the Web; and to make use of Web Mining, on the other hand, for building up the Semantic Web. This paper gives an overview of where the two areas meet today, and sketches ways of how a closer integration could be profitable.
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Towards Semantic Web Mining
The Semantic Web — ISWC 2002, 2002Co-Authors: Gerd Stumme, Andreas Hotho, Bettina BerendtAbstract:Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. The idea is to improve, on the one hand, the results of Web Mining by exploiting the new semantic structures in the Web; and to make use of Web Mining, on the other hand, for building up the Semantic Web. This paper gives an overview of where the two areas meet today, and sketches ways of how a closer integration could be profitable.
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Entwicklungsperspektiven zum Web Mining
Handbuch Web Mining im Marketing, 2002Co-Authors: Myra Spiliopoulou, Bettina BerendtAbstract:Web Mining wird oft als Technologie betrachtet, deren Werkzeuge eine spezielle Gruppe von Wissensentdeckungsverfahren sind. Hier wird Web Mining eher als ein Prozess betrachtet, der mit der Formulierung einer strategischen oder taktischen Fragestellung anfangt und mit einem Masnahmenkatalog zur Beantwortung dieser Frage endet. Kennzeichnend fur Web Mining ist dabei, dass sich die Fragestellungen auf den Web-Auftritt einer Institution beziehen, dass die Masnahmen der Optimierung dieses Web-Auftritts dienen sowie dessen Integration in die Geschaftsprozesse der Institution, und dass die Ableitung der Masnahmen auf der Analyse der Daten im Ist-Zustand basiert.
