DocumentCode
2229319
Title
Semantic Web: A Topic Specific Search
Author
Dharavath, Krishna ; Saritha, S.K.
Author_Institution
Dept. of Civil Eng., Maulana Azad Nat. Inst. of Technol., Bhopal, India
fYear
2012
fDate
16-18 April 2012
Firstpage
145
Lastpage
148
Abstract
Topic - based search provides a promising paradigm for formulating complex semantic queries and representing results on the semantic web. A challenge for the application of the paradigm is the complexity of providing topic - based search services through application programming interfaces (API) and web services. In this paper topic specific search is done on domain like plants and animals. Using the ontology of animal and plant kingdom, the search engine is trained for topic based searching by constructing XML file for various plants and animals. Several images of plants and animals are crawled and classified into the various categories of animals and plants. The search results include the detail information of animal or plant searched along with the image of that category. An additional image filtering tool is designed to narrow down search results according to the user need.
Keywords
Web services; XML; application program interfaces; biology computing; botany; ontologies (artificial intelligence); query formulation; semantic Web; zoology; API; Web services; XML file; animal kingdom; application programming interfaces; complex semantic query formulation; image filtering tool; ontology; plant kingdom; search engine; semantic Web; topic specific search; topic-based search services; Animals; Engines; Image retrieval; Ontologies; Search engines; Semantic Web; Semantics; Metadata; Ontology; Search engine; Semantic web;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology: New Generations (ITNG), 2012 Ninth International Conference on
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4673-0798-7
Type
conf
DOI
10.1109/ITNG.2012.29
Filename
6209158
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