Web 2.0 & Semantic Web

1. Front Matter

   Pages i-xvi

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2. Tagging and Semantics

   1. Front Matter

      Pages 1-1

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   2. TagFusion: A System for Integration and Leveraging of Collaborative Tags

      • Milan Stanković, Jelena Jovanović

      Pages 3-23

   3. Semantic Enhancement of Social Tagging Systems

      • Fabian Abel, Nicola Henze, Daniel Krause, Matthias Kriesell

      Pages 25-54

3. Adaptability and User Interfaces

   1. Front Matter

      Pages 56-56

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   2. Adaptation and Recommendation Techniques to Improve the Quality of Annotations and the Relevance of Resources in Web 2.0 and Semantic Web-Based Applications

      • Ilaria Torre

      Pages 57-77

   3. Adaptive Reactive Rich Internet Applications

      • Kay-Uwe Schmidt, Roland Stühmer, Jörg Dörflinger, Tirdad Rahmani, Susan Thomas, Ljiljana Stojanovic

      Pages 79-102

4. Knowledge Representation and User Interfaces

   1. Front Matter

      Pages 104-104

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   2. Towards Enhanced Usability of Natural Language Interfaces to Knowledge Bases

      • Danica Damljanović, Kalina Bontcheva

      Pages 105-133

   3. Semantic Document Model to Enhance Data and Knowledge Interoperability

      • Saša Nešić

      Pages 135-160

5. Data Mining, Software Engineering, and Semantic Web

   1. Front Matter

      Pages 162-162

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   2. Ontology-Based Data Mining in Digital Libraries

      • Ana Kovačević

      Pages 163-175

   3. An Assessment System on the Semantic Web

      • Sonja Radenković, Nenad Krdžavac, Vladan Devedžić

      Pages 177-200

6. Back Matter

   Pages 201-201

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According to the W3C Semantic Web Activity [1]: The Semantic Web provides a common framework that allows data to be shared and reused across appli- tion, enterprise, and community boundaries. This statement clearly explains that the Semantic Web is about data sharing. Currently, the Web uses hyperlinks to connect Web pages. The Semantic Web goes beyond that and focuses on data and envisions the creation of the web of data. On the Semantic Web, anyone can say anything about any resource on the Web. This is fully based on the concept of semantic - notations, where each resource on the Web can have an assigned meaning. This is done through the use of ontologies as a formal and explicit representation of domain concepts and their relationships [2]. Ontologies are formally based on description logics. This enables agents and applications to reason over the data when searching the Web, which has not previously been possible. Web 2. 0 has gradually evolved from letting the Web users play a more active role. Unlike the initial version of the Web, where the users mainly “consumed” content, users are now offered easy-to-use services for content production and publication. Mashups, blogs, wikis, feeds, interface remixes, and social networking/tagging s- tems are examples of these well-known services. The success and wide adoption of Web 2. 0 was in its reliance on social interactions as an inevitable characteristic of the use and life of the Web. In particular, Web 2.

• Internet
• Semantic web
• Web 2.0
• data mining
• model-driven engineering
• modeling
• ontology
• service-oriented architecture
• world wide web

• School of Business Administration, University of Belgrade, Belgrade, Serbia

  Vladan Devedžić

• School of Computing &, Athabasca University, Athabasca, Canada

  Dragan Gaševic

Vladan Devedzic is a Professor of computer science at the University of Belgrade, FON - School of Business Administration, Department of Information Systems and Technologies. He has also taught at the University of Belgrade School of Electrical Engineering, Department of Computer Engineering, as well as at the Military Academy of Serbia (the former Yugoslav Military Academy).

His professional goal is to bring together the ideas from the broad fields of intelligent systems and software engineering. His current professional and scientific interests include knowledge modeling, ontologies, intelligent reasoning techniques, Semantic Web, software engineering, and the application of artificial intelligence to education and medicine. More information on Prof. Devedzic is available at the website: http://fon.fon.bg.ac.yu/~devedzic/

Dragan Gaševic taught at the University of Belgrade (2000-2005) before transferring to Simon Fraser University in Canada, where he was a Postdoctoral Fellow at the School of Interactive Arts and Technology involved in the LORNET project funded by the Natural Science and Engineering Research Council of Canada (NSERC). He is currently an Adjunct Professor at the Interactive School of Arts & Technology at Simon Fraser University as well as an Assistant Professor in the School of Computing and Information Systems at Athabasca University.

His research interests include model driven software engineering; knowledge management and Semantic Web; interoperability and integration of systems, data, and modeling technologies; technology-enhanced learning (e-learning); and Petri nets. For more information about Prof. Gaševic, please go the following website: http://scis.athabascau.ca/scis/staff/index.jsp?ct=dragang&sn=faculty

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