GDL

Semantic Method for Query Translation

2010
Journal from gdlhub / 2017-08-14 11:52:32
Oleh : Mohd Amin Mohd Yunus, Roziati Zainuddin, Noorhidawati Abdullah , IAJIT
Dibuat : 2012-06-23, dengan 1 file

Keyword : Semantic ontology, semantic query, cross language information retrieval, dictionary-based
Subjek : Semantic Method for Query Translation
Url : http://www.ccis2k.org/iajit/PDF/vol.10,no.3/9-3772.pdf
Sumber pengambilan dokumen : Internet

Cross language information retrieval presents huge ambiguous results as polysemy problems. Therefore, the


semantic approach comes to solve the polysemy problem which that the same word may have different meanings according to


the context of sentences. This paper presents semantic technique on queries for retrieving more relevant results in cross


language information retrieval (CLIR) that concentrates on the Arabic, Malay or English query(s) translation (a dictionary


based method) to retrieve documents according to query(s) translation. Therefore, semantic ontology significantly improves


and expands the single query itself with more synonym and related words. The query however is to retrieve relevant documents


across language boundaries. Therefore, this study is conducted with the purposes to investigate English-Malay-Arabic


query(s) translation approach and vice versa against keywords and querywords based on total retrieve and relevant.


Keywords and querywords retrieval are evaluated in the experiments in terms of precision and recall. In order to produce


more significant results, semantic technique is therefore applied to improve the performance of CLIR.

Deskripsi Alternatif :

Cross language information retrieval presents huge ambiguous results as polysemy problems. Therefore, the


semantic approach comes to solve the polysemy problem which that the same word may have different meanings according to


the context of sentences. This paper presents semantic technique on queries for retrieving more relevant results in cross


language information retrieval (CLIR) that concentrates on the Arabic, Malay or English query(s) translation (a dictionary


based method) to retrieve documents according to query(s) translation. Therefore, semantic ontology significantly improves


and expands the single query itself with more synonym and related words. The query however is to retrieve relevant documents


across language boundaries. Therefore, this study is conducted with the purposes to investigate English-Malay-Arabic


query(s) translation approach and vice versa against keywords and querywords based on total retrieve and relevant.


Keywords and querywords retrieval are evaluated in the experiments in terms of precision and recall. In order to produce


more significant results, semantic technique is therefore applied to improve the performance of CLIR.

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