NDLI: Enriching city entities in the EKOSS failure cases knowledge base with Linked Open Data

Content Provider	IEEE Xplore Digital Library
Author	Weisen Guo Kraines, S.B.
Copyright Year	2010
Description	Author affiliation: Science Integration Program (Human), Dep. of Frontier Sciences and Sci. Integration, Division of Project Coordination, The University of Tokyo, Kashiwa, Japan (Weisen Guo; Kraines, S.B.)
Abstract	Repositories of semantic statements that are created manually can contain detailed domain-specific knowledge with “heavy-weight” semantics that support intelligent computer processing services. However, such repositories often lack common knowledge since the authors of semantic statements often leave out details that human readers would already know. Some of this common knowledge can be encoded in ontologies that provide computers with background facts for a particular domain. However, the scalability of this approach is limited. We describe a stepwise procedure to enrich a repository of user contributed semantic statements with a set of standard entity statements that provide information about commonly known entities in the domain. We apply the procedure to extract common knowledge about city entities from Linked Open Data sources into standard entity statements that we use to enrich the semantic statements in the EKOSS failure cases knowledge base, which contains knowledge about failures in engineering. We then present a qualitative evaluation through a scenario, which demonstrates that using this simple procedure to enrich domain-specific semantic statements with common knowledge makes it possible to answer interesting search queries that would otherwise not get any results.
Starting Page	404
Ending Page	409
File Size	209106
Page Count	6
File Format	PDF
ISBN	9781424478170
e-ISBN	9781424478187
DOI	10.1109/CISIM.2010.5643505
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-08
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Geology Semantic Search Semantics Knowledge based systems EKOSS Logic Inference Cities and towns Ontologies Semantic Integration DBpedia Linked Open Data
Content Type	Text
Resource Type	Article

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