Cited By
View all- Klímek JŠkoda PNečaský M(2018)Survey of tools for Linked Data consumptionSemantic Web10.3233/SW-180316(1-57)Online publication date: 17-Aug-2018
A Scalable Approach for Computing Semantic Relatedness using Semantic Web Data
Article No.: 20, Pages 1 - 9
Abstract
Computing semantic relatedness is an essential operation for many natural language processing (NLP) tasks, such as Entity Linking (EL) and Question Answering (QA). It is still challenging to find a scalable approach to compute the semantic relatedness using Semantic Web data. Hence, we present for the first time an approach to pre-compute the semantic relatedness between the instances, relations, and classes of an ontology, such that they can be used in real-time applications.
References
[1]
S. Auer, C. Bizer, G. Kobilarov, J. Lehmann, R. Cyganiak, and Z. Ives. Dbpedia: A nucleus for a web of open data. Springer, 2007.
[2]
J. W. Eaton, D. Bateman, and S. Hauberg. GNU Octave version 3.0. 1 manual: a high-level interactive language for numerical computations. SoHo Books, 2007.
[3]
J. Hoffart, F. M. Suchanek, K. Berberich, and G. Weikum. Yago2: A spatially and temporally enhanced knowledge base from wikipedia. In Proceedings of the Twenty-Third international joint conference on Artificial Intelligence, pages 3161--3165. AAAI Press, 2013.
[4]
J. Hoffart, M. A. Yosef, I. Bordino, H. Fürstenau, M. Pinkal, M. Spaniol, B. Taneva, S. Thater, and G. Weikum. Robust disambiguation of named entities in text. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 782--792. Association for Computational Linguistics, 2011.
[5]
I. Hulpuş, N. Prangnawarat, and C. Hayes. Path-based semantic relatedness on linked data and its use to word and entity disambiguation. In The Semantic Web-ISWC 2015, pages 442--457. Springer, 2015.
[6]
M. A. Martínez-Prieto, J. D. Fernández, and R. Cánovas. Compression of rdf dictionaries. In Proceedings of the 27th Annual ACM Symposium on Applied Computing, pages 340--347. ACM, 2012.
[7]
A. Moro, A. Raganato, and R. Navigli. Entity linking meets word sense disambiguation: a unified approach. Transactions of the Association for Computational Linguistics, 2:231--244, 2014.
[8]
A. Passant. Measuring semantic distance on linking data and using it for resources recommendations. In AAAI spring symposium: linked data meets artificial intelligence, volume 77, page 123, 2010.
[9]
S. Shekarpour, E. Marx, A.-C. N. Ngomo, and S. Auer. Sina: Semantic interpretation of user queries for question answering on interlinked data. Web Semantics: Science, Services and Agents on the World Wide Web, 30:39--51, 2015.
[10]
R. Usbeck, A.-C. N. Ngomo, M. Röder, D. Gerber, S. A. Coelho, S. Auer, and A. Both. Agdistis-graph-based disambiguation of named entities using linked data. In The Semantic Web--ISWC 2014, pages 457--471. Springer, 2014.
[11]
R. Usbeck, M. Röder, A. Ngonga Ngomo, C. Baron, A. Both, M. Brümmer, D. Ceccarelli, M. Cornolti, D. Cherix, B. Eickmann, et al. Gerbil-general entity annotation benchmark framework. In 24th WWW conference, 2015.
[12]
M. Yahya, K. Berberich, S. Elbassuoni, M. Ramanath, V. Tresp, and G. Weikum. Natural language questions for the web of data. In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pages 379--390. Association for Computational Linguistics, 2012.
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Published In
June 2016
309 pages
ISBN:9781450340564
DOI:10.1145/2912845
Copyright © 2016 ACM.
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Association for Computing Machinery
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Publication History
Published: 13 June 2016
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- Research-article
- Research
- Refereed limited
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- MSCA-ITN-2014-ETN: Marie SkBodowska- Curie Innovative Training Networks (ITN-ETN)
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WIMS '16
WIMS '16: International Conference on Web Intelligence, Mining and Semantics
June 13 - 15, 2016
Nîmes, France
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WIMS '16 Paper Acceptance Rate 36 of 53 submissions, 68%;
Overall Acceptance Rate 140 of 278 submissions, 50%
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View all- Klímek JŠkoda PNečaský M(2018)Survey of tools for Linked Data consumptionSemantic Web10.3233/SW-180316(1-57)Online publication date: 17-Aug-2018
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