Overview
- State-of-the-art research in data semantics
- Contains a special report on the Ontology Alignment Evaluation Initiative
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6720)
Part of the book sub series: Journal on Data Semantics (JODS)
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About this book
The LNCS Journal on Data Semantics is devoted to the presentation of notable work that, in one way or another, addresses research and development on issues related to data semantics. The scope of the journal ranges from theories supporting the formal definition of semantic content to innovative domain-specific applications of semantic knowledge. The journal addresses researchers and advanced practitioners working on the semantic web, interoperability, mobile information services, data warehousing, knowledge representation and reasoning, conceptual database modeling, ontologies, and artificial intelligence.
Volume XV results from a rigorous selection among 25 full papers received in response to two calls for contributions issued in 2009 and 2010. In addition, this volume contains a special report on the Ontology Alignment Evaluation Initiative, an event that has been held once a year in the last five years and has attracted considerable attention from the ontology community.
This is the last LNCS transactions volume of the Journal on Data Semantics; the next issue will appear as a regular Springer Journal, published quarterly starting from 2012.
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Keywords
Table of contents (6 chapters)
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Front Matter
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Regular Papers
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Back Matter
Editors and Affiliations
Bibliographic Information
Book Title: Journal on Data Semantics XV
Editors: Stefano Spaccapietra
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-22630-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag GmbH Berlin Heidelberg 2011
Softcover ISBN: 978-3-642-22629-8Published: 09 August 2011
eBook ISBN: 978-3-642-22630-4Published: 09 August 2011
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XV, 193
Topics: Data Mining and Knowledge Discovery, Database Management, Information Storage and Retrieval, Information Systems Applications (incl. Internet), Information Systems and Communication Service, Artificial Intelligence