research-article

Toward matching the relation instantiation from DBpedia ontology to Wikipedia text: fusing FrameNet to Korean

Authors:

Younggyun Hahm,

Dosam Hwang, and

Key-Sun ChoiAuthors Info & Claims

SEM '14: Proceedings of the 10th International Conference on Semantic Systems

September 2014

Pages 13 - 19

https://doi.org/10.1145/2660517.2660534

Published: 04 September 2014 Publication History

Abstract

Nowadays, there are many ongoing researches to construct knowledge bases from unstructured data. This process requires an ontology that includes enough properties to cover the various attributes of knowledge elements. As a huge encyclopedia, Wikipedia is a typical unstructured corpora of knowledge. DBpedia, a structured knowledge base constructed from Wikipedia, is based on DBpedia ontology which was created to represent knowledge in Wikipedia well. However, DBpedia ontology is a Wikipedia-Infobox-driven ontology. This means that although it is suitable to represent essential knowledge of Wikipedia, it does not cover all of the knowledge in Wikipedia text. In overcoming this problem, resources representing semantics or relations of words such as WordNet and FrameNet are considered useful. In this paper we determined whether DBpedia ontology is enough to cover a sufficient amount of natural language written knowledge in Wikipedia. We mainly focused on the Korean Wikipedia, and calculated the Korean Wikipedia coverage rate with two methods, by the DBpedia ontology and by FrameNet frames. To do this, we extracted sentences with extractable knowledge from Wikipedia text, and also extracted natural language predicates by Part-Of-Speech tagging. We generated Korean lexicons for DBpedia ontology properties and frame indexes, and used these lexicons to measure the Korean Wikipedia coverage ratio of the DBpedia ontology and frames. By our measurements, FrameNet frames cover 73.85% of the Korean Wikipedia sentences, which is a sufficient portion of Wikipedia text. We finally show the limitations of DBpedia and FrameNet briefly, and propose the outlook of constructing knowledge bases based on the experiment results.

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Cited By

Lindén KHaltia HLaine ALuukkonen JPiitulainen JVäisänen N(2019)FinnTransFrameLanguage Resources and Evaluation10.1007/s10579-018-9434-y53:1(141-171)Online publication date: 1-Mar-2019
https://dl.acm.org/doi/10.1007/s10579-018-9434-y
Lindén KHaltia HLuukkonen JLaine ARoivainen HVäisänen N(2017)FinnFN 1.0: The Finnish frame semantic databaseNordic Journal of Linguistics10.1017/S033258651700007540:3(287-311)Online publication date: 14-Aug-2017
https://doi.org/10.1017/S0332586517000075

Index Terms

Toward matching the relation instantiation from DBpedia ontology to Wikipedia text: fusing FrameNet to Korean

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cover image ACM Other conferences

SEM '14: Proceedings of the 10th International Conference on Semantic Systems

September 2014

161 pages

ISBN:9781450329279

DOI:10.1145/2660517

Editors:
Harald Sack
Hasso-Plattner-Institute for IT Systems Engineering, Germany
,
Agata Filipowska
Poznan University of Economics, Poland
,
Jens Lehmann
University of Leipzig, Germany
,
Sebastian Hellmann
Institute for Applied Informatics (InfAI), Leipzig, Germany

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

St. Pölten University: St. Pölten University of Applied Sciences, Austria
University of Potsdam: University of Potsdam
PoolParty: PoolParty (Semantic Web Company GmbH)
University of Vienna: University of Vienna
Wolters Kluwer: Wolters Kluwer, Germany
Semantic Web Company: Semantic Web Company
STII: STI International
DBpedia Association: DBpedia Association

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Association for Computing Machinery

New York, NY, United States

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Published: 04 September 2014

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SEM '14

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St. Pölten University
University of Potsdam
PoolParty
University of Vienna
Wolters Kluwer
Semantic Web Company
STII
DBpedia Association

SEM '14: SEMANTiCS 2014 - 10th International Conference on Semantic Systems

September 4 - 5, 2014

Leipzig, Germany

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SEM '14 Paper Acceptance Rate 22 of 59 submissions, 37%;

Overall Acceptance Rate 22 of 59 submissions, 37%

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Cited By

Lindén KHaltia HLaine ALuukkonen JPiitulainen JVäisänen N(2019)FinnTransFrameLanguage Resources and Evaluation10.1007/s10579-018-9434-y53:1(141-171)Online publication date: 1-Mar-2019
https://dl.acm.org/doi/10.1007/s10579-018-9434-y
Lindén KHaltia HLuukkonen JLaine ARoivainen HVäisänen N(2017)FinnFN 1.0: The Finnish frame semantic databaseNordic Journal of Linguistics10.1017/S033258651700007540:3(287-311)Online publication date: 14-Aug-2017
https://doi.org/10.1017/S0332586517000075

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