A visual analytics approach to augmenting formal concepts with relational background knowledge in a biological domain

Elma Akand, Michael Bain, Mark Temple

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

Abstract

![CDATA[Formal Concept Analysis provides a rigorous framework in this paper to combine visualization and machine learning for a complex application in systems biology. We develop a concept lattice construction algorithm based on techniques from frequent itemset mining and adapt local browsing of concept lattices as the visualization approach. A web-based interface enables the user to navigate the concept lattice easily to inspect formal concepts for further processing. This includes integration of concepts with external data sources, including relational data representing biological networks, and machine learning using Inductive Logic Programming. Initial results are presented on a significant real-world data set showing that the approach can generate biologically promising hypotheses for further analysis.]]
Original languageEnglish
Title of host publicationAdvances in Ontologies: Proceedings of the Sixth Australasian Ontology Workshop, Adelaide, Australia, 7 December 2010
PublisherAustralian Computer Society
Pages17-26
Number of pages10
Publication statusPublished - 2010
EventAustralasian Ontology Workshop -
Duration: 6 Dec 2010 → …

Conference

ConferenceAustralasian Ontology Workshop
Period6/12/10 → …

Keywords

  • visual analytics
  • systems biology
  • logic programming

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