NDLI: Using DMoz for constructing ontology from data stream

Content Provider	IEEE Xplore Digital Library
Author	Grobelnik, M. Brank, J. Mladenic, D. Novak, B. Fortuna, B.
Copyright Year	2006
Description	Author affiliation: Jozef Stefan Inst., Ljubljana (Grobelnik, M.; Brank, J.; Mladenic, D.; Novak, B.; Fortuna, B.)
Abstract	This paper presents an approach for constructing an ontology from a stream of documents. Named entities extracted from the documents are used as instances of the ontology. Entities and co-occurring entity pairs are represented by feature vectors based on the content of the documents where they occurred. In general, concepts and relations can be formed into an ontological structure either by clustering or by classification into an existing topic hierarchy. We propose the latter using DMoz as an existing topic hierarchy. The approach is efficient and can scale to large data sets. We propose a framework that incorporates the stream mining process into a formal definition of the ontology. We describe a software component implementing this approach, and present experiments using a large collection of news
Starting Page	439
Ending Page	444
File Size	137737
Page Count	6
File Format	PDF
ISBN	9537138054
ISSN	13301012
DOI	10.1109/ITI.2006.1708521
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-19
Publisher Place	Croatia
Access Restriction	Subscribed
Rights Holder	SRCE University, University of Zagreb, Croatia
Subject Keyword	Ontologies Data mining Data processing Hardware Companies Algorithm design and analysis Sensor systems
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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