Biological knowledge graph construction, search, and navigation

Chandana Tennakoon; Nazar Zaki; Hiba Arnaout; Shady Elbassuoni; Wassim El-Hajj; Alanoud Al Jaberi

doi:10.1016/B978-0-12-809556-0.00007-1

Biological knowledge graph construction, search, and navigation

Chandana Tennakoon, Nazar Zaki, Hiba Arnaout, Shady Elbassuoni, Wassim El-Hajj, Alanoud Al Jaberi

Department of Computer Science and Software Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter

2 Citations (Scopus)

Abstract

The number of available biological databases keeps on increasing every day. One limitation is that these databases are stored in diverse formats. Semantic web technology has introduced the resource description format (RDF) to unify heterogeneous databases. In this chapter, we illustrate how a knowledge graph can be constructed out of the biological RDF databases. We also 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 language	English
Title of host publication	Leveraging Biomedical and Healthcare Data
Subtitle of host publication	Semantics, Analytics and Knowledge
Publisher	Elsevier
Pages	107-120
Number of pages	14
ISBN (Electronic)	9780128095560
ISBN (Print)	9780128095614
DOIs	https://doi.org/10.1016/B978-0-12-809556-0.00007-1
Publication status	Published - Jan 1 2018

Keywords

Biological databases
Knowledge graph
RDF
Semantic search

ASJC Scopus subject areas

Medicine(all)

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10.1016/B978-0-12-809556-0.00007-1

Cite this

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AU - Tennakoon, Chandana

AU - Zaki, Nazar

AU - Arnaout, Hiba

AU - Elbassuoni, Shady

AU - El-Hajj, Wassim

AU - Al Jaberi, Alanoud

PY - 2018/1/1

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AB - The number of available biological databases keeps on increasing every day. One limitation is that these databases are stored in diverse formats. Semantic web technology has introduced the resource description format (RDF) to unify heterogeneous databases. In this chapter, we illustrate how a knowledge graph can be constructed out of the biological RDF databases. We also 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.

KW - Biological databases

KW - Knowledge graph

KW - RDF

KW - Semantic search

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BT - Leveraging Biomedical and Healthcare Data

PB - Elsevier

ER -

Biological knowledge graph construction, search, and navigation

Abstract

Keywords

ASJC Scopus subject areas

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