Automatic ontology-based annotation of food, nutrition and health Arabic web content

Saeed Albukhitan, Tarek Helmy

Research output: Contribution to journalConference articlepeer-review

13 Scopus citations


To have a successful semantic Web, it is critically required to have sufficient amount of relevant semantic and highquality Web content. One way to produce such content is through the semantic annotation of the Web sources. Semantic annotation is the process of adding machine-readable content to the natural language textual content of the Web sources. Annotating Web content in Arabic language has received less attention compared to Latin Languages especially for content related to specific domains such as food, nutrition and health. Considering the huge amount of emerging Web content, semantic annotation of their contents by hand is neither practicable nor scalable. In this paper, we present an automatic annotation of the Arabic Web resources related to food, nutrition and health domains. The proposed method makes use of developed Arabic OWL ontologies related to those domains. It uses linguistic patterns to discover relevant relationships between the named entities in the Arabic Web resources. The extracted information is then associated to the corresponding concepts and object properties of the developed ontology to produce the RDF metadata for the corresponding Web resources. Empirical evaluations of the proposed method show promising precision and recall. As a contribution, the produced RDF triples could be utilized by semantic Web searching quires.

Original languageEnglish
Pages (from-to)461-469
Number of pages9
JournalProcedia Computer Science
StatePublished - 2013

Bibliographical note

Funding Information:
This work is supported by King Abdulaziz City for Science and Technology (KACST) through King Fahd University of Petroleum & Minerals (KFUPM) Science & Technology Unit under the project No. 10-INF1381-04 as part of the National Science, Technology and Innovation Plan. Thanks are extended to KFUPM for providing the supporting research and computing facilities.


  • Annotation
  • Arabic language
  • Name entity recognition
  • Semantic web

ASJC Scopus subject areas

  • General Computer Science


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