A Robust Ontology-Based Method for Translating Natural Language Queries to Conceptual Graphs Export

@incollection{ASWC:2008:Cao, abstract = {A natural language interface is always desirable for a search system. While performance of machine translation for general texts with acceptable computational costs seems to reach a limit, narrowing down the domain to one of queries reduces the complexity and enables better translation correctness. This paper proposes a query translation method that is robust to ill-formed questions and exploits knowledge of an ontology for semantic search. It uses conceptual graphs as the target language for the translation. As a logical interlingua with smooth mapping to and from natural language, conceptual graphs simplify translation rules and can be easily converted to other formal query languages. Experiment results of the method on the TREC 2002 and TREC 2007 data sets are also presented and discussed.}, author = {Cao, Tru and Cao, Truong and Tran, Thang}, citeulike-article-id = {5860058}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-3-540-89704-0_33}, citeulike-linkout-1 = {http://www.springerlink.com/content/v2003v1070104813}, doi = {10.1007/978-3-540-89704-0_33}, journal = {The Semantic Web}, keywords = {semantic\_web}, pages = {479--492}, posted-at = {2009-09-30 15:21:51}, priority = {2}, title = {A Robust Ontology-Based Method for Translating Natural Language Queries to Conceptual Graphs}, url = {http://dx.doi.org/10.1007/978-3-540-89704-0_33}, year = {2008} }

TY - CHAP ID - ASWC:2008:Cao L3 - citeulike-article-id:5860058 N2 - A natural language interface is always desirable for a search system. While performance of machine translation for general texts with acceptable computational costs seems to reach a limit, narrowing down the domain to one of queries reduces the complexity and enables better translation correctness. This paper proposes a query translation method that is robust to ill-formed questions and exploits knowledge of an ontology for semantic search. It uses conceptual graphs as the target language for the translation. As a logical interlingua with smooth mapping to and from natural language, conceptual graphs simplify translation rules and can be easily converted to other formal query languages. Experiment results of the method on the TREC 2002 and TREC 2007 data sets are also presented and discussed. JF - The Semantic Web EP - 492 TI - A Robust Ontology-Based Method for Translating Natural Language Queries to Conceptual Graphs SP - 479 KW - semantic_web AU - Cao, Tru AU - Cao, Truong AU - Tran, Thang PY - 2008/// UR - http://dx.doi.org/10.1007/978-3-540-89704-0_33 ER -