Paper Info
Title
Domain Specific Searches Using Conceptual Spectra
Abstract
Searching the web proved to be a critical task in which both user satisfaction and speed requirements must be satisfied. Nowadays search engines provide amazing capabilities of searching resources on the web though they are still based on text indexing and seldom exploit semantics of resource content. Therefore they sometimes fail on the identification of query context, providing results that are not relevant with respect to user needs; this is especially true for non-trained users. The Semantic Web specifically addresses such an issue by providing means to define resources and query semantics using ontologies and semantic annotations. In this paper we propose a concept-based search paradigm for document retrieval. We define a new representation of the involved information space, introducing the notion of Conceptual Spectrum to identify the global topic landscape of web resources and queries. We exploit such a representation to design and implement a prototypical version of a concept-based search engine. We compare the proposed approach to a traditional keyword-based engine, on a specific domain. Results are promising and show the approach feasibility.
Year
DOI
Venue
2004
10.1109/ICTAI.2004.53
ICTAI
Keywords
Field
DocType
conceptual spectra,traditional keyword-based engine,web resource,concept-based search paradigm,query semantics,new representation,approach feasibility,concept-based search engine,query context,non-trained user,domain specific searches,search engines,search engine,document retrieval,satisfiability,spectrum,semantic web
Web resource,Web search query,World Wide Web,Semantic search,Information retrieval,Computer science,Web query classification,Semantic Web,Search engine indexing,Document retrieval,Semantics
Conference
ISSN
ISBN
Citations 
1082-3409
0-7695-2236-X
4
PageRank 
References 
Authors
0.55
5
3
Name
Order
Citations
PageRank
Dario Bonino136133.65
F. Corno260255.65
L. Farinetti360.92