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Finding good keywords to describe resources is an ongoing problem: typically we select such words manually from a thesaurus of terms, or they are created using automatic keyword extraction techniques. Folksonomies are an increasingly well populated source of unstructured tags describing web resources. This paper explores the value of the folksonomy tags as(More)
Semantic Metadata, which describes the meaning of documents, can be produced either manually or else semi-automatically using information extraction techniques. Manual techniques are expensive if they rely on skilled cataloguers, but a possible alternative is to make use of community produced annotations such as those collected in folksonomies. This paper(More)
The Holy Quran exhibits the powerful rhetorical techniques of classical Arabic; one of these techniques is the use of semantic opposition. Semantic opposition as a sub-field of structural linguistics, studies the relation between words based on a set of properties or features. In order to automatically identify semantic opposition terms in the Holy Quran,(More)
Information availability is a key factor in the acquisition of knowledge. Access to information either in the general area or even in more specific ones like sciences, languages, and religion become wider since the use of semantics in World Wide Web. Semantic Web technologies assist in the acquiring of information by creating processes that link information(More)
Folksonomies provide a free source of keywords describing web resources, however, these keywords are free form and unstructured. In this paper, we describe a novel tool that converts folksonomy tags into semantic metadata, and present a case study consisting of a framework for evaluating the usefulness of this metadata within the context of a particular(More)
Since the advent of the Semantic Web in the late 90's, many Web applications were created to benefit from the capabilities provided by Semantic Web technologies. These capabilities include intelligent reasoning over data, semantic search and data interoperability. However, most Semantic Web technologies are dedicated to processing Latin family scripts,(More)
Ontological models play an important role in the Semantic Web. Despite being widely spread, there are a few known attempts to build ontologies for the Arabic language. As a result, a lack of Arabic Semantic Web applications is encountered. In this paper, we propose an approach to build ontologies automatically for the Arabic language from Wikipedia. Our(More)