In this paper we present a novel approach, called Concept Search, which extends syntactic search, i.e., search based on the computation of string similarity between words, with semantic search, i.e., search based on the computation of semantic relations among concepts. The key idea of Concept Search is to operate on complex concepts and to maximally exploit the semantic information available, reducing to syntactic search only when necessary, i.e., when no semantic information is available. The experimental results show that Concept Search performs at least as well as syntactic search, improving the quality of results as a function of the amount of available semantics.
%0 Conference Paper
%1 concept2009
%A Giunchiglia, Fausto
%A Kharkevich, Uladzimir
%A Zaihrayeu, Ilya
%B 6th Annual European Semantic Web Conference (ESWC2009)
%D 2009
%K Query Search_Engine Semantic_Continuum Semantic_Inverted_Index Semantic_Search Semantic_Web Visualization
%P 429-444
%T Concept Search
%U http://data.semanticweb.org/conference/eswc/2009/paper/104
%X In this paper we present a novel approach, called Concept Search, which extends syntactic search, i.e., search based on the computation of string similarity between words, with semantic search, i.e., search based on the computation of semantic relations among concepts. The key idea of Concept Search is to operate on complex concepts and to maximally exploit the semantic information available, reducing to syntactic search only when necessary, i.e., when no semantic information is available. The experimental results show that Concept Search performs at least as well as syntactic search, improving the quality of results as a function of the amount of available semantics.
@inproceedings{concept2009,
abstract = {In this paper we present a novel approach, called Concept Search, which extends syntactic search, i.e., search based on the computation of string similarity between words, with semantic search, i.e., search based on the computation of semantic relations among concepts. The key idea of Concept Search is to operate on complex concepts and to maximally exploit the semantic information available, reducing to syntactic search only when necessary, i.e., when no semantic information is available. The experimental results show that Concept Search performs at least as well as syntactic search, improving the quality of results as a function of the amount of available semantics.},
added-at = {2009-05-29T11:44:15.000+0200},
author = {Giunchiglia, Fausto and Kharkevich, Uladzimir and Zaihrayeu, Ilya},
biburl = {https://www.bibsonomy.org/bibtex/24b3e412280afd0ff936a3b360bc323b4/eswc2009},
booktitle = {6th Annual European Semantic Web Conference (ESWC2009)},
interhash = {027e5a9dbf32e872c43169b2b268dde3},
intrahash = {4b3e412280afd0ff936a3b360bc323b4},
keywords = {Query Search_Engine Semantic_Continuum Semantic_Inverted_Index Semantic_Search Semantic_Web Visualization},
month = {June},
pages = {429-444},
timestamp = {2009-05-29T11:44:15.000+0200},
title = {Concept Search},
url = {http://data.semanticweb.org/conference/eswc/2009/paper/104},
year = 2009
}