Literature-driven, ontology-centric knowledge navigation for lipidomics

Rajaraman Kanagasabai, Hong Sang Low, Wee Tiong Ang, Anitha Veeramani, Markus R. Wenk, Christopher J.O. Baker*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

As the semantic web vision continues to proliferate a gap still remains in the full scale adoption of such technologies. The exact reasons for this continue to be the subject of ongoing debate, however, it is likely the emergence of reproducible infrastructure and deployments will expedite its adoption. We illustrate the recognizable added value to life science researchers gained through the convergence of existing and customized semantic web technologies (content acquisition pipelines supplying legacy unstructured texts, natural language processing, OWL-DL ontology development and instantiation, reasoning over A-boxes using a visual query tool). The resulting platform allows lipidomic researchers to rapidly navigate large volumes of full-text scientific documents according to recognizable lipid nomenclature, hierarchies and classifications. Specifically we have enabled searches for sentences describing lipidprotein and lipid-disease interactions.

Original languageEnglish
Pages (from-to)42-55
Number of pages14
JournalCEUR Workshop Proceedings
Volume293
Publication statusPublished - 2007
Externally publishedYes
EventWorkshop on First Industrial Results of Semantic Technologies, FIRST 2007 - Co-located with ISWC 2007 + ASWC 2007 - Busan, Korea, Republic of
Duration: 11 Nov 200711 Nov 2007

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