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Applied Semantic Web Technologies


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Table of Contents

INTRODUCTION. Applied Semantic Web Technologies. ONTOLOGIES. Fundamentals and Languages. Toward Semantic Interoperability between Information Systems. AlViz: A Tool for Ontology Alignment Utilizing Information Visualization Techniques. SRS: A Hybrid Ontology Mediation and Mapping Approach. ONTOLOGY ENGINEERING AND EVALUATION. An Ontology Engineering Tool for Enterprise 3.0. Learning of Social Ontologies in WWW. Relation Extraction for Semantic Web with Taxonomic Sequential Patterns. Data-Driven Evaluation of Ontologies Using Machine Learning Algorithms. Automatic Evaluation of Search Ontologies in the Entertainment Domain Using Natural Language Processing. SEMANTIC APPLICATIONS. Adding Semantics to Decision Tables. Semantic Sentiment Analyses Based on Reputations of Web Information Sources. Semantics and Search. Toward Semantics-Based Service Composition in Transport Logistics. Ontology-Driven Business Process Intelligence. Semantics for Energy Efficiency in Smart Home Environments.

About the Author

Vijayan Sugumaran is a professor of management information systems in the Department of Decision and Information Sciences at Oakland University, Rochester, Michigan. He is also a visiting professor in the Department of Service Systems Management and Engineering at Sogang University, Seoul, South Korea. He earned a PhD in information technology from George Mason University, Fairfax, Virginia. His research interests are in the areas of service science, ontologies and semantic web issues, intelligent agent and multiagent systems, and component-based software development. He has published over 140 peer-reviewed articles in journals, conference proceedings, and books and edited eight books and two special journal issues. He is the editor-in-chief of the International Journal of Intelligent Information Technologies and serves on the editorial boards of seven other journals. He was the program co-chair for the 13th International Conference on Applications of Natural Language to Information Systems (NLDB 2008) and also acted as the chair of the Intelligent Agent and Multi-Agent Systems track for the Americas Conference on Information Systems (AMCIS 1999--2010). He also regularly serves as a program committee member for international and national conferences. Dr. Sugumaran has obtained research funding from several international agencies. He is a co-principal investigator on a multimillion dollar grant funded by the Korea Research Foundation. As part of this World Class University program, Dr. Sugumaran works with colleagues at Sogang University on a project titled Service Systems Engineering for the Creation of New Growth Engine based on Knowledge Service. Jon Atle Gulla has been a professor of information systems since 2002 and heads the Department of Computer and Information Science at the Norwegian University of Science and Technology. He earned his MSc in 1988 and a PhD in 1993, both in information systems, at the Norwegian Institute of Technology, along with an MSc in linguistics from the University of Trondheim and another MSc in management (Sloan Fellow) from the London Business School. He previously worked as a manager in Fast Search and Transfer in Munich and as a project leader for Norsk Hydro in Brussels. Gulla's research interests include text mining, semantic search, ontologies, and enterprise modeling. He has taken part in national and international research projects on semantic technologies and co-founded several companies that make use of semantics and linguistics in industrial applications.

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