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
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;
Conference_Titel :
Semantic Computing (ICSC), 2015 IEEE International Conference on
Conference_Location :
Anaheim, CA
DOI :
10.1109/ICOSC.2015.7050800