SemQ: A proposed framework for representing semantic opposition in the Holy Quran using Semantic Web technologies

Al‐Khalifa, Hend S.; Al-Yahya, Maha; Bahanshal, Alia; Al-Odah, Iman

doi:10.1109/ctit.2009.5423145

Cited by 27 publications

(11 citation statements)

References 3 publications

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“…The ontology consists of 6 classes, 3 upper classes which are extracted from the SemQ ontology [6], [7]. The major classes in SemTree include: Linguistic-Concept: a class which represents all terminology used in the SemTree ontology, Semantic-Field: a class representing all existing semantic fields within a language (Temporal, Spatial, Human, etc.…”

Section: Classesmentioning

confidence: 99%

SemTree ontology for enriching Arabic text with lexical semantic annotations

Al-Yahya

Al-Shaman

Al-Otaiby

et al. 2015

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)

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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.

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Section: Classesmentioning

confidence: 99%

SemTree ontology for enriching Arabic text with lexical semantic annotations

Al-Yahya

Al-Shaman

Al-Otaiby

et al. 2015

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)

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“…The SemTree ontology is an ontological lexicon for the Arabic language. It is an extended version of the SemQ ontology [54] [55], which was designed to provide a semantic representation for (noun) antonym pairs found in the Holy Quran. SemTree utilizes the top-level classes found in SemQ and provides properties for two semantic relations: synonymy and antonymy.…”

Section: Materials and Proposed Methods Patternsmentioning

confidence: 99%

Ontological Lexicon Enrichment: The Badea System For Semi-Automated Extraction Of Antonymy Relations From Arabic Language Corpora

Al-Yahya

Al-Malak

Aldhubayi

2016

MJCS

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Ontological lexicons are considered a rich source of knowledge for the development of various natural language processing tools and applications; however, they are expensive to build, maintain, and extend. In this paper, we present the Badea system for the semi-automated extraction of lexical relations, specifically antonyms using a pattern-based approach to support the task of ontological lexicon enrichment. The approach is based on an ontology of "seed" pairs of antonyms in the Arabic language; we identify patterns in which the pairs occur and then use the patterns identified to find new antonym pairs in an Arabic textual corpora. Experiments are conducted on Badea using texts from three Arabic textual corpuses: KSUCCA, KACSTAC, and CAC. The system is evaluated and the patterns' reliability and system performance is measured. The results from our experiments on the three Arabic corpora show that the pattern-based approach can be useful in the ontological enrichment task, as the evaluation of the system resulted in the ontology being updated with over 300 new antonym pairs, thereby enriching the lexicon and increasing its size by over 400%. Moreover, the results show important findings on the reliability of patterns in extracting antonyms for Arabic. The Badea system will facilitate the enrichment of ontological lexicons that can be very useful in any Arabic natural language processing system that requires semantic relation extraction.Keywords: Antonym Extraction, Ontology, Arabic Lexicon, Semantic Relation, Arabic NLP INTRODUCTIONA lexicon is defined as "the knowledge that a native speaker has about a language. This includes information about the form and meanings of words and phrases, lexical categorization, the appropriate usage of words and phrases, relationships between words and phrases, and categories of words and phrases" [1]. Lexicon is an essential element for natural language processing (NLP) applications. For some applications, such as machine translation, lexicon is a critical resource [2]. An important aspect of such lexicons that renders them effective, reusable, and sharable within the community is building them upon standards such as semantic Web standards in the form of ontologies. An ontological lexicon is a lexicon designed using an ontological model and developed as an ontology. Ontological lexicons play a vital role in NLP applications such as language analysis, semantic annotation, summarization, machine translation, sense disambiguation, generation of lexical-competence questions used in standard language tests, and other applications that rely on implicit information in the text.Although ontological lexicons provide a rich source of knowledge for NLP applications, like other types of computational lexicons, they are expensive to build, maintain, and extend [2] [3] [4]. Moreover, the task of relation extraction is essential in any ontological lexicon development. Relation extraction focuses on the extraction of structured relations from unstructured sources such as Web documents ...

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“…Certain considerations need to be taken when designing Arabicbased applications. M ost of the works in Arabic Semantic Web are driven by the traditional Arabic Language structure and rules governing the formation of its vocabulary [3,8,9,10,11,14]. Although these works are promising, no experiments were provided on real data over the Web to decide if these designs cater to the thousands of the blogs users on the Web.…”

Section: Work In Arabic Semantic Webmentioning

confidence: 99%

Developing Ontology for Arabic Blogs Retrieval

Al-Safadi¹,

Al-Badrani²,

Al-Junidey³

2011

IJCA

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The ability to search for content on the Internet has proven to be essential for many. However, available search engines supporting Arabic language are typically limited to keyword searches and do not take in consideration the underlying semantics of the content. Semantic search engines provide searching and retrieving resources conceptually related to the user informational need. However, the presented technologies support mostly languages using Latin scripts. Arabic is still not well supported. The few works on Arabic Semantic Web applications are derived from the rule governing the traditional Arabic language and not the content available on the Web. In this research, we propose a model for representing Arabic knowledge in the Computer Technology domain using Ontologies. The model starts by elicitation users' informational needs. Ontologies w ill play a major role in supporting information search and retrieval processes of Arabic blogs on the Web.

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SemQ: A proposed framework for representing semantic opposition in the Holy Quran using Semantic Web technologies

Cited by 27 publications

References 3 publications

SemTree ontology for enriching Arabic text with lexical semantic annotations

SemTree ontology for enriching Arabic text with lexical semantic annotations

Ontological Lexicon Enrichment: The Badea System For Semi-Automated Extraction Of Antonymy Relations From Arabic Language Corpora

Developing Ontology for Arabic Blogs Retrieval

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