Title :
SLADO: Semantic lexical alignment for domain-specific ontologies
Author :
Abu-Shareha, Ahmad Adel ; Mandava, Rajeswari ; Ramachandram, Dhanesh
Author_Institution :
Sch. of Comput. Sci., Comput. Vision Res. Group, Univ. Sains Malaysia, Minden, Malaysia
Abstract :
Domain-specific ontologies encode reusable domain vocabulary and represent established domain semantics. The alignment of such ontologies requires an approach based on a semantic analysis of its components. This paper presents SLADO, Semantic Lexical Alignment for Domain-specific Ontologies. The proposed approach aims to use the available dictionaries and lexical resources in the underlying domain and to mine the ontology information to extract words from the string features of the input ontologies. The string features are processed as word wrappers, where every string is assumed to contain some word(s). The architecture of SLADO uses a mixture of lexical and knowledge-based methods in a semantic approach. It first identifies the semantic words from the ontology labels, and then determines the output by comparing the extracted words and their synonyms using lexical resources such as WordNet.
Keywords :
ontologies (artificial intelligence); text analysis; domain-specific ontologies; knowledge-based method; lexical resources; lexical-based method; semantic lexical alignment; string features; Artificial intelligence; Computer science; Computer vision; Data mining; Dictionaries; Medical services; Ontologies; Safety; Semantic Web; Vocabulary; Domain-specific ontologies; lexical resources; ontology alignment; word-based alignment;
Conference_Titel :
TENCON 2009 - 2009 IEEE Region 10 Conference
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-4546-2
Electronic_ISBN :
978-1-4244-4547-9
DOI :
10.1109/TENCON.2009.5396028