A Survey of Arabic language Support in Semantic web

Beseiso, Majdi; Ahmad, Abdul Rahim; Ismail, Roslan

doi:10.5120/1348-1818

Cited by 28 publications

(14 citation statements)

References 12 publications

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“…A survey of some semantic Web technologies supporting Arabic is presented in Beseiso et al 4 . Four mostly used semantic Web tools were investigated, namely Protégé, Jena, Sesame, and KOAN.…”

Section: Related Workmentioning

confidence: 99%

Semantic Annotation of Arabic Web Resources Using Semantic Web Services

Albukhitan

Al-Nazer

Helmy

2016

Procedia Computer Science

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The vision of semantic Web is to have a Web of things instead of Web of documents in a form that can be processed by machines. This vision could be achieved on the existing Web using semantic annotation based on common and public ontologies. Due to exponential growth and huge size of the Web sources, there is a need to have fast and automatic semantic annotation services of Web documents. Since Arabic language received less attention in semantic Web research as compared to Latin languages especially in the field of semantic annotation. This motivates us in this paper to present semantic Web services that support the semantic annotation of Arabic language documents. The services accept documents and ontologies and produce annotations of these documents using different output formats. The proposed services could be used for building semantic Web applications and semantic search engines for Arabic Language. To evaluate the performance of these services, a set of ontologies were used with pre-annotated documents related to those ontologies. The initial results show a promising performance which will support the research in the semantic Web with respect to Arabic language.

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Section: Related Workmentioning

confidence: 99%

Semantic Annotation of Arabic Web Resources Using Semantic Web Services

Albukhitan

Al-Nazer

Helmy

2016

Procedia Computer Science

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“…The life cycle of Ontology development can also be subdivided into the following stages: extracting terms, discovering synonyms, obtaining concepts, extracting concept hierarchies, defining relations among concepts, deducing rules or axioms [15]. The result is a formal explicit description of concepts in a domain of discourse, properties of each concept describing various features and attributes of the concept, and relationships between classes.…”

Section: Ontology Engineeringmentioning

confidence: 99%

“…These semantic search engines have weak to no support of Arabic language. D ifferent languages have contained the specific linguistic environment and the cultural context, which has caused the need to develop different Ontology for different information language [15]. Since most of the Ontologies publicly available are in English language, there is a strong need for Arabic language Ontologies used as the basis of Arabic Semantic applications.…”

Section: Introductionmentioning

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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“…As can be seen from Table 1, there is weakness in ontology management tools for the Arabic language. So, there is a need to develop controlled vocabulary and ontology management tools for Arabic ontology for the foundation of Arabic Semantic Web [13]. …”

Section: Motivation and Challengementioning

confidence: 99%