Knowledge graph construction and search for biological databases

Nazar Zaki, Chandana Tennakoon, Hany Al Ashwal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

The number of biological databases available both in the public domain and in private keep on increasing every day. Scientists and researchers need to analyze and make use of the data stored in different databases. One limitation is that these databases are stored in diverse formats. However, semantic web methods have introduced the Resource description format (RDF) to unify heterogeneous databases. In this paper we illustrate how to construct a knowledge graph out of biological RDF databases by connecting possibly related data. We also show how the resulting knowledge graph can be made compact. We, then show how free-text search can be implemented to access nodes in the knowledge graph. Finally, we introduce a way to display and navigate the created knowledge graph.

Original languageEnglish
Title of host publication5th International Conference on Research and Innovation in Information Systems
Subtitle of host publicationSocial Transformation through Data Science, ICRIIS 2017
PublisherIEEE Computer Society
ISBN (Electronic)9781509030354
DOIs
Publication statusPublished - Aug 3 2017
Event5th International Conference on Research and Innovation in Information Systems, ICRIIS 2017 - Langkawi, Kedah, Malaysia
Duration: Jul 16 2017Jul 17 2017

Other

Other5th International Conference on Research and Innovation in Information Systems, ICRIIS 2017
Country/TerritoryMalaysia
CityLangkawi, Kedah
Period7/16/177/17/17

Keywords

  • Biological databases
  • Knowledge graph
  • RDF

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Human-Computer Interaction
  • Information Systems

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