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Semantic lifting of unstructured data based on NLP inference of annotations

Published: 22 June 2012 Publication History

Abstract

The paper introduces approach to semantic lifting of unstructured data with the help of natural language processing (NLP) technologies. Our approach is based on processing the text fragments with NLP tools to tag some of the natural language words and phrases with semantic annotations. Then these inferred annotations are lifted to ontology level in the form of ontology instances that become preliminary automatic annotations of the target text fragments and can later be optionally confirmed and refined by domain experts.

References

[1]
Marinchev I., Lifting and Lowering the Data from Digital Library "Virtual Encyclopedia of Bulgarian Iconography". Proc of 12th International Conference on Computer Systems and Technologies -- CompSysTech 2011, Vienna, Austria --- June 16-17, 2011, ACM ISBN: 978-1-4503-0917-2, pp 179--184.
[2]
OWLIM family of semantic repositories http://www.ontotext.com/owlim/
[3]
Pavlova-Draganova L., V. Georgiev, L. Draganov. Virtual Encyclopaedia of Bulgarian Iconography. Information Technologies and Knowledge, vol.1 (2007), No.3, pp. 267--271
[4]
Simov K., Z. Peev, M. Kouylekov, A. Simov, M. Dimitrov, A. Kiryakov 2001. CLaRK -- an XML-based System for Corpora Development. In: Proc. of the Corpus Linguistics 2001, pp 548--560.
[5]
SINUS Project: Semantic Technologies for Web Services and Technology Enhanced Learning. http://sinus.iinf.bas.bg/
[6]
SparQL query language http://www.w3.org/TR/rdf-sparql-query
[7]
Staykova K., Agre G., Simov K., Osenova P. -- Language Technology Support for Semantic Annotation of Iconographic Descriptions. In: Proceedings of the International Workshop "Language Technologies for Digital Humanities and Cultural Heritage", 16 Sept. 2011, Hisar, Bulgaria, ISBN 978-954-452-019-9, pp. 51--57.

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  • (2022)Human-in-the-Loop Rule Discovery for Micropost Event DetectionIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2022.3208345(1-12)Online publication date: 2022

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cover image ACM Other conferences
CompSysTech '12: Proceedings of the 13th International Conference on Computer Systems and Technologies
June 2012
440 pages
ISBN:9781450311939
DOI:10.1145/2383276
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]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 June 2012

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Author Tags

  1. OWL
  2. RDF
  3. RDFS
  4. instance data
  5. lifting
  6. natural language processing
  7. ontologies
  8. semantic
  9. semantic web

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  • Research-article

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CompSysTech'12

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Overall Acceptance Rate 241 of 492 submissions, 49%

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Cited By

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  • (2022)Human-in-the-Loop Rule Discovery for Micropost Event DetectionIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2022.3208345(1-12)Online publication date: 2022

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