Health, food and user's profile ontologies for personalized information retrieval

Tarek Helmy*, Ahmed Al-Nazer, Saeed Al-Bukhitan, Ali Iqbal

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

23 Scopus citations


As we aim to retrieve personalized information to user's queries related to food, health and nutrition domains such as "Is apple good for people with heart diseases?", "How much honey can be taken by a diabetic patient?", "What are the health benefits of eating pineapple?" and "What are the fruits that contain the daily need quantity of calcium?" The information retrieval system needs to integrate ontologies from different domains such as food, nutrition, health (diseases, body parts, body functions) and recipe in order to answer such kind of queries. In addition, to support multilingual queries, the system and ontologies require aggregation of information from multilevel ontologies. Also, to achieve high relevancy and coverage we need to use ontologies that have comprehensive and rich vocabularies. Moreover, to make effective use for the annotation, ontologies concept names should be unique and self-contained. The main focus of this paper is to integrate ontologies from food, health and nutrition domains to help the personalized information systems to retrieve food and heath recommendations based on the user's health conditions and food preferences. Such ontologies that satisfy these requirements do not explicitly exist. Therefore, we were challenged to develop these ontologies by creating, integrating and reusing some of the existing ontologies to meet our requirements.

Original languageEnglish
Pages (from-to)1071-1076
Number of pages6
JournalProcedia Computer Science
Issue number1
StatePublished - 2015

Bibliographical note

Publisher Copyright:
© 2015 The Authors. Published by Elsevier B.V.


  • Ontology integration
  • Personalized retrieval
  • Semanic web

ASJC Scopus subject areas

  • General Computer Science


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