Semantic Services, Interoperability and Web Applications: Emerging Concepts

Semantic Services, Interoperability and Web Applications: Emerging Concepts

Copyright: © 2011 |Pages: 420

ISBN13: 9781609605933|ISBN10: 1609605934|EISBN13: 9781609605940

DOI: 10.4018/978-1-60960-593-3

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Sheth, Amit, editor. Semantic Services, Interoperability and Web Applications: Emerging Concepts. IGI Global, 2011. https://doi.org/10.4018/978-1-60960-593-3

APA

Sheth, A. (Ed.). (2011). Semantic Services, Interoperability and Web Applications: Emerging Concepts. IGI Global. https://doi.org/10.4018/978-1-60960-593-3

Chicago

Sheth, Amit, ed. Semantic Services, Interoperability and Web Applications: Emerging Concepts. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-593-3

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Semantic Web technology is of fundamental interest to researchers in a number of fields, including information systems and Web design, as continued advancements in this discipline impact other, related fields of study.

Semantic Services, Interoperability and Web Applications: Emerging Concepts offers suggestions, solutions, and recommendations for new and emerging research in Semantic Web technology. Focusing broadly on methods and techniques for making the Web more useful and meaningful, this book unites discussions on Semantic Web directions, issues, and challenges.

Table of Contents

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Front Materials

Title Page

Copyright Page

Preface

Chapters

Chapter 1

Solving Semantic Interoperability Conflicts in Cross-Border E-Government Services (pages 1-47)

Adrian Mocan, Federico M. Facca, Nikolaos Loutas, Vassilios Peristeras, Sotirios K. Goudos, Konstantinos Tarabanis

Interoperability is one of the most challenging problems in modern cross-organizational information systems, which rely on heterogeneous information and process models. Interoperability becomes very important for e-Government...

Chapter 2

A New Similarity Measure for Automatic Construction of the Unknown Word Lexical Dictionary (pages 48-65)

Myunggwon Hwang, Pankoo Kim

This paper deals with research that automatically constructs a lexical dictionary of unknown words as an automatic lexical dictionary expansion. The lexical dictionary has been usefully applied to various fields for semantic...

Chapter 3

Extracting Concepts’ Relations and Users’ Preferences for Personalizing Query Disambiguation (pages 66-80)

Yan Chen, Yan-Qing Zhang

For most Web searching applications, queries are commonly ambiguous because words usually contain several meanings. Traditional Word Sense Disambiguation (WSD) methods use statistic models or ontology-based knowledge models to find...

Chapter 4

The Berlin SPARQL Benchmark (pages 81-103)

Christian Bizer, Andreas Schultz

The SPARQL Query Language for RDF and the SPARQL Protocol for RDF are implemented by a growing number of storage systems and are used within enterprise and open Web settings. As SPARQL is taken up by the community, there is a growing...

Chapter 5

Learning of OWL Class Expressions on Very Large Knowledge Bases and its Applications (pages 104-130)

Sebastian Hellmann, Jens Lehmann, Sören Auer

The vision of the Semantic Web aims to make use of semantic representations on the largest possible scale - the Web. Large knowledge bases such as DBpedia, OpenCyc, and GovTrack are emerging and freely available as Linked Data and...

Chapter 6

Scalable Authoritative OWL Reasoning for the Web* (pages 131-177)

Aidan Hogan, Andreas Harth, Axel Polleres

In this chapter, the authors discuss the challenges of performing reasoning on large scale RDF datasets from the Web. Using ter-Horst’s pD* fragment of OWL as a base, the authors compose a rule-based framework for application to Web...

Chapter 7

Enabling Scalable Semantic Reasoning for Mobile Services (pages 178-204)

Luke Albert Steller, Shonali Krishnaswamy, Mohamed Methat Gaber

With the emergence of high-end smart phones/PDAs there is a growing opportunity to enrich mobile/pervasive services with semantic reasoning. This paper presents novel strategies for optimising semantic reasoning for realising...

Chapter 8

Linked Data: The Story so Far (pages 205-227)

Christian Bizer, Tom Heath, Tim Berners-Lee

The term “Linked Data” refers to a set of best practices for publishing and connecting structured data on the Web. These best practices have been adopted by an increasing number of data providers over the last three years, leading to...

Chapter 9

Community-driven Consolidated Linked Data (pages 228-258)

Aman Shakya, Hideaki Takeda, Vilas Wuwongse

User-generated content can help the growth of linked data. However, there are a lack of interfaces enabling ordinary people to author linked data. Secondly, people have multiple perspectives on the same concept and different...

Chapter 10

Searching Linked Objects with Falcons: Approach, Implementation and Evaluation (pages 259-278)

Gong Cheng, Yuzhong Qu

The rapid development of the data Web is accompanied by increasing information needs from ordinary Web users for searching objects and their relations. To meet the challenge, this chapter presents Falcons Object Search, a...

Chapter 11

A URI is Worth a Thousand Tags: From Tagging to Linked Data with MOAT (pages 279-302)

Alexandre Passant, Philippe Laublet, John G. Breslin, Stefan Decker

Although tagging is a widely accepted practice on the Social Web, it raises various issues like tags ambiguity and heterogeneity, as well as the lack of organization between tags. We believe that Semantic Web technologies can help...

Chapter 12

An Idea Ontology for Innovation Management (pages 303-321)

Christoph Riedl, Norman May, Jan Finzen, Stephan Stathel, Viktor Kaufman, Helmut Krcmar

Exchanging and analyzing ideas across different software tools and repositories is needed to implement the concepts of open innovation and holistic innovation management. However, a precise and formal definition for the concept of an...

Chapter 13

Inductive Classification of Semantically Annotated Resources through Reduced Coulomb Energy Networks (pages 322-342)

Nicola Fanizzi, Claudia d’Amato, Floriana Esposito

The tasks of resource classification and retrieval from knowledge bases in the Semantic Web are the basis for a lot of important applications. In order to overcome the limitations of purely deductive approaches to deal with these...

Chapter 14

A Comparison of Corpus-Based and Structural Methods on Approximation of Semantic Relatedness in Ontologies (pages 343-361)

Tuukka Ruotsalo, Eetu Mäkelä

In this paper, the authors compare the performance of corpus-based and structural approaches to determine semantic relatedness in ontologies. A large light-weight ontology and a news corpus are used as materials. The results show...

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Compilation of References

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