NDLI: Learning from ontologies for common meaningful structures

Content Provider	IEEE Xplore Digital Library
Author	Liu Yang Guojie Li Zhongzhi Shi
Copyright Year	2005
Description	Author affiliation: Inst. of Comput. Technol., Chinese Acad. of Sci., China (Liu Yang; Guojie Li; Zhongzhi Shi)
Abstract	We put forward a hypothesis that there exist common meaningful structures among ontologies whose domains are analogous to each other The initial motivation of our hypothesis is to make full use of the structural information in existing ontologies, in order to benefit the domain of ontology. To verify the hypothesis we give a precise definition of the candidate of the common meaningful structure called MICISO (maximum isomorphic common induced sub-ontology). Based on the hypothesis and the definition we present a novel data mining problem called MICISO mining, whose aim is learning from ontologies to find out MICISOs and further recommend the common meaningful structures. We also provide an algorithm for MICISO mining, based on which we have developed a practical tool for mining and checking such structures. With the tool, the algorithm is implemented with quite a few pairs of existing ontologies, and the interesting meaningful results support our hypothesis. Thus we consider that the hypothesis is preliminarily verified. We suppose that our work sparks a novel promising thinking for the domain of ontology -to study existing ontologies for useful things.
Sponsorship	IEEE Comput. Soc. Web Intelligence Consortium (WIC) Assoc. for Comput. Machinery (ACM)
Starting Page	397
Ending Page	400
File Size	96736
Page Count	4
File Format	PDF
ISBN	076952415X
DOI	10.1109/WI.2005.90
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-19
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Semantic Web Computers OWL Ontologies Data mining Sparks
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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