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Extending Ontologies in the Nanotechnology Domain using Topic Models and Formal Topical Concept Analysis on Unstructured Text
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-1881-3969
Linköping University, Faculty of Science & Engineering. Linköping University, Department of Physics, Chemistry and Biology, Theoretical Physics.ORCID iD: 0000-0002-5571-0814
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, The Institute of Technology. (IDA/ADIT)ORCID iD: 0000-0002-9084-0470
2019 (English)In: ISWC 2019 Satellites: Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous Ideas) co-located with 18th International Semantic Web Conference (ISWC 2019), Technical University of Aachen , 2019, p. 5-8Conference paper, Published paper (Refereed)
Abstract [en]

In the data-driven workflows in the materials science domain, much of the data and knowledge is stored in different heterogeneous data sources maintained by different groups. This leads to a reduced availability of the data and poor interoperability between systems in this domain. Ontology-based techniques are an important way to reduce these problems and a number of efforts have started. In this paper, we use a phrase-based topic model approach and formal topical concept analysis on unstructured text in this domain to suggest additional concepts and axioms for the ontology that should be validated by a domain expert.

Place, publisher, year, edition, pages
Technical University of Aachen , 2019. p. 5-8
Series
CEUR Workshop Proceedings, ISSN 1613-0073 ; 2456
National Category
Computer Sciences Materials Engineering
Identifiers
URN: urn:nbn:se:liu:diva-160712OAI: oai:DiVA.org:liu-160712DiVA, id: diva2:1357461
Conference
18th International Semantic Web Conference
Funder
Swedish e‐Science Research CenterSwedish Research Council, 2018-04147CUGS (National Graduate School in Computer Science)Available from: 2019-10-03 Created: 2019-10-03 Last updated: 2019-12-18

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CiteExportLink to record
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