TY - JOUR
KW - Semantic Lexicon
KW - WordNet
KW - Automatic Mapping
KW - Ontologies
AU - Rahim Dehkharghani
AU - Mehrnoush Shamsfard
AB - Lexical ontologies are one of the main resourcesfor developing natural language processing and semantic web applications. Mapping lexical ontologies of different languagesis very important for inter-lingual tasks. On the other hand mapping approaches can be implied to build lexical ontologies for a new language based on pre-existing resources of other languages. In this paper we propose a semantic approach for mapping Persian words to Princeton WordNet Synsets. As there is no lexical ontology for Persian, our approach helps not only in building one for this language but also enables semantic web applications on Persian documents. To do the mapping, we calculate the similarity of Persian words and English synsets using their features such as super-classes and subclasses, domain and related words. Our approach is an improvement of an existing one applying in a new domain, which increases the recall noticeably.
IS - Special Issue on Business Intelligence and Semantic Web
M1 - 2
N2 - Lexical ontologies are one of the main resourcesfor developing natural language processing and semantic web applications. Mapping lexical ontologies of different languagesis very important for inter-lingual tasks. On the other hand mapping approaches can be implied to build lexical ontologies for a new language based on pre-existing resources of other languages. In this paper we propose a semantic approach for mapping Persian words to Princeton WordNet Synsets. As there is no lexical ontology for Persian, our approach helps not only in building one for this language but also enables semantic web applications on Persian documents. To do the mapping, we calculate the similarity of Persian words and English synsets using their features such as super-classes and subclasses, domain and related words. Our approach is an improvement of an existing one applying in a new domain, which increases the recall noticeably.
PY - 2009
SP - 6
EP - 13
T2 - International Journal of Interactive Multimedia and Artificial Intelligence
TI - Mapping Persian Words to WordNet Synsets
UR - http://www.ijimai.org/journal/sites/default/files/IJIMAI1-2-2.pdf
VL - 1
SN - 1989-1660
ER -