NDLI: The lattice approach to ontology language interoperability

Content Provider	IEEE Xplore Digital Library
Author	Baisheng Shi Zongtian Liu Yuqing Wang Hong Yu Meili Huang
Copyright Year	2004
Description	Author affiliation: Sch. of Comput. Eng. & Sci., Shanghai Univ., China (Baisheng Shi; Zongtian Liu; Yuqing Wang; Hong Yu; Meili Huang)
Abstract	The "semantic Web" is supported by ontologies and background knowledge. For several reasons, it is unlikely that this formal knowledge will be encoded in the very same language. Taking advantage of the semantic Web requires to be able to compare, transform and compose these formal knowledge languages. The main purpose of this paper is to study the problem of language interoperability. In this paper, we present a new approach based on concept lattice. It is a branch of the lattice theory that allows us to identify meaningful groupings of elements that have common properties with the aid of formal concept analysis (FCA). The established lattice is a set of knowledge representation languages partially ordered with regard to the transformability from one language to another by preserving a particular property. This approach is more general than the existing approaches and convenient. For the same set of languages, there can be several lattice structures depending on the property for transforming languages. Here, we discussed semantic property transformations of different strength. These properties involve syntax, interpretation, consequence and consistency preservation.
Sponsorship	Wuhan Univ. Univ. of Aizu, Japan Nat. Natural Sci. Found. China IEEE Eng. in Medicine and Biology Soc
Starting Page	265
Ending Page	272
File Size	816752
Page Count	8
File Format	PDF
ISBN	0769522165
DOI	10.1109/CIT.2004.1357207
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Semantic Web Knowledge engineering Information resources Law Lattices Knowledge representation Ontologies Educational institutions Mathematics Legal factors
Content Type	Text
Resource Type	Article

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