DocumentCode
1866489
Title
SemTree ontology for enriching Arabic text with lexical semantic annotations
Author
Al-Yahya, Maha ; Al-Shaman, Mona ; Al-Otaiby, Nehal ; Al-Sultan, Wafa ; Al-Zahrani, Asma ; Al-Dalbahie, Mesheal
Author_Institution
Inf. Technol. Dept., King Saud Univ., Riyadh, Saudi Arabia
fYear
2015
fDate
7-9 Feb. 2015
Firstpage
167
Lastpage
168
Abstract
Although the process of semantic annotation of Arabic Web content is essential for the realization of the Semantic Web, the process of semantic annotation cannot be performed without an ontology suitable for the task. In this paper, we describe the design, implementation and evaluation of the SemTree ontology for lexical semantic relations. The ontology was evaluated for usefulness using a prototype system for lexical semantic annotation of Arabic text. Results of the evaluation indicate that the ontology was fit for the purpose of semantic annotations with lexical relations. The evaluation also reveled important recommendations for designing Arabic semantic annotation tools.
Keywords
natural language processing; ontologies (artificial intelligence); text analysis; Arabic semantic annotation tools; Arabic text; SemTree ontology; lexical semantic annotations; lexical semantic relations; Ontologies; Arabic language; lexical semantic relation; ontology; semantic annotation;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantic Computing (ICSC), 2015 IEEE International Conference on
Conference_Location
Anaheim, CA
Type
conf
DOI
10.1109/ICOSC.2015.7050800
Filename
7050800
Link To Document