Semantic Web: Ontology and Knowledge Base Enabled Tools, Services, and Applications

Semantic Web: Ontology and Knowledge Base Enabled Tools, Services, and Applications

Copyright: © 2013 |Pages: 360

ISBN13: 9781466636101|ISBN10: 1466636106|EISBN13: 9781466636118

DOI: 10.4018/978-1-4666-3610-1

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Sheth, Amit, editor. Semantic Web: Ontology and Knowledge Base Enabled Tools, Services, and Applications. IGI Global, 2013. https://doi.org/10.4018/978-1-4666-3610-1

APA

Sheth, A. (Ed.). (2013). Semantic Web: Ontology and Knowledge Base Enabled Tools, Services, and Applications. IGI Global. https://doi.org/10.4018/978-1-4666-3610-1

Chicago

Sheth, Amit, ed. Semantic Web: Ontology and Knowledge Base Enabled Tools, Services, and Applications. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-3610-1

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Semantic web continues to be an increasingly important system for allowing end-users to share and communicate information online.

Semantic Web: Ontology and Knowledge Base Enabled Tools, Services and Application focuses on the information systems discipline and the tools and techniques utilized for the emerging use of semantic web. Covering topics on semantic search, ontologies, and recommendation systems, this publication is essential for academics, practitioners, and industry professionals.

Table of Contents

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Front Materials

Title Page

Copyright Page

Preface

Chapters

Ontology Engineering and Knowledge

Chapter 1

Online Semantic Knowledge Management for Product Design Based on Product Engineering Ontologies (pages 1-26)

Lijuan Zhu, Uma Jayaram, Okjoon Kim

This paper formulates an approach to use the semantic web for knowledge management in the product design domain to provide enhanced capabilities of authoring/updating, querying/reasoning, searching, and visualization of information....

Chapter 2

A Theory of Social Agentivity and its Integration into the Descriptive Ontology for Linguistic and Cognitive Engineering (pages 27-51)

Edward Heath Robinson

The agentivity of social entities has posed problems for ontologies of social phenomena, especially in the Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) designed for use in the semantic web. This article...

Chapter 3

AL-QuIn: An Onto-Relational Learning System for Semantic Web Mining (pages 52-74)

Francesca A. Lisi

Onto-Relational Learning is an extension of Relational Learning aimed at accounting for ontologies in a clear, well-founded and elegant manner. The system QuIn supports a variant of the frequent pattern discovery task by following...

Reasoning and Ontology Development

Chapter 4

Semi-Automatic Ontology Construction by Exploiting Functional Dependencies and Association Rules (pages 76-96)

Luca Cagliero, Tania Cerquitelli, Paolo Garza

This paper presents a novel semi-automatic approach to construct conceptual ontologies over structured data by exploiting both the schema and content of the input dataset. It effectively combines two well-founded database and data...

Chapter 5

Concept Induction in Description Logics Using Information-Theoretic Heuristics (pages 97-118)

Nicola Fanizzi

This paper presents an approach to ontology construction pursued through the induction of concept descriptions expressed in Description Logics. The author surveys the theoretical foundations of the standard representations for formal...

Chapter 6

Using Similarity-Based Approaches for Continuous Ontology Development (pages 119-139)

Maryam Ramezani

This paper presents novel algorithms for learning semantic relations from an existing ontology or concept hierarchy. The authors suggest recommendation of semantic relations for supporting continuous ontology development, i.e., the...

Chapter 7

A Modal Defeasible Reasoner of Deontic Logic for the Semantic Web (pages 140-167)

Efstratios Kontopoulos, Nick Bassiliades, Guido Governatori, Grigoris Antoniou

Defeasible logic is a non-monotonic formalism that deals with incomplete and conflicting information, whereas modal logic deals with the concepts of necessity and possibility. These types of logics play a significant role in the...

Web of Data and Applications

Chapter 8

Data Linking for the Semantic Web (pages 169-200)

Alfio Ferraram, Andriy Nikolov, François Scharffe

By specifying that published datasets must link to other existing datasets, the 4th linked data principle ensures a Web of data and not just a set of unconnected data islands. The authors propose in this paper the term data linking...

Chapter 9

ACRONYM: Context Metrics for Linking People to User-Generated Media Content (pages 201-234)

Fergal Monaghan, Siegfried Handschuh, David O’Sullivan

With the advent of online social networks and User-Generated Content (UGC), the social Web is experiencing an explosion of audio-visual data. However, the usefulness of the collected data is in doubt, given that the means of...

Chapter 10

An Enhanced Semantic Layer for Hybrid Recommender Systems: Application to News Recommendation (pages 235-269)

Iván Cantador, Pablo Castells, Alejandro Bellogín

Recommender systems have achieved success in a variety of domains, as a means to help users in information overload scenarios by proactively finding items or services on their behalf, taking into account or predicting their tastes...

Chapter 11

Numeric Query Answering on the Web (pages 270-285)

Steven O’Hara, Tom Bylander

Query answering usually assumes that the asker is looking for a single correct answer to the question. When retrieving a textual answer this is often the case, but when searching for numeric answers, there are additional...

Chapter 12

Semantics Discovery via Human Computation Games (pages 286-308)

Jakub Šimko, Michal Tvarožek, Mária Bieliková

The effective acquisition of (semantic) metadata is crucial for many present day applications. Games with a purpose address this issue by transforming computational problems into computer games. The authors present a novel approach...

Back Materials

Compilation of References

About the Contributors

Index

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