research-article

Semantics-empowered text exploration for knowledge discovery

Authors:

Delroy Cameron,

Pablo N. Mendes,

Amit P. Sheth,

Victor ChanAuthors Info & Claims

ACMSE '10: Proceedings of the 48th annual ACM Southeast Conference

Article No.: 14, Pages 1 - 6

https://doi.org/10.1145/1900008.1900029

Published: 15 April 2010 Publication History

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Abstract

The interaction paradigm offered by most contemporary Web Information Systems is a search-and-sift paradigm in which users manually seek information using hyperlinked documents. This paradigm is derived from a document-centric model that gives users minimal support for scanning through high volumes of text. We present a novel information exploration paradigm based on a data-centric view of corpora, along with a prototype implementation that demonstrates the value in content-driven navigation. We leverage semantic metadata to link data in documents by exploiting named relationships between entities. We also present utilities for gathering user generated navigation trails, critical for knowledge discovery. We discuss the impact of our approach in the context of knowledge exploration.

References

[1]

Dbpedia. http://dbpedia.org/About, January 2010.

Google Scholar

[2]

Mesh database. http://www.ncbi.nlm.nih.gov/mesh, January 2010.

Google Scholar

[3]

Semantic media wiki. http://semantic-mediawiki.org/wiki/Semantic_MediaWiki, January 2010.

Google Scholar

[4]

Unified medical language system (umls). http://www.nlm.nih.gov/research/umls/, January 2010.

Google Scholar

[5]

Daniel M. Bikel, Scott Miller, Richard Schwartz, and Ralph Weischedel. Nymble: High-performance learning name-finder. In In Proceedings of the Fifth Conference on Applied Natural Language Processing, pages 194--201, 1997.

Digital Library

Google Scholar

[6]

Roy T. Fielding. Architectural Styles and the Design of Network-based Software Architectures. PhD thesis, University of California, Irvine, 2000.

Digital Library

Google Scholar

[7]

R. Guha, Rob Mccool, and Eric Miller. Semantic search. In International World Wide Web Conference, pages 700--709. ACM, 2003.

Digital Library

Google Scholar

[8]

Gary Marchionini. Editorial: Reviewer merits and review control in an age of electronic manuscript management systems. ACM Trans. Inf. Syst., 26(4), 2008.

Digital Library

Google Scholar

[9]

Andrew Mccallum and Wei Li. Early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons. 2003.

Digital Library

Google Scholar

[10]

Cartic Ramakrishnan, Pablo Mendes, Shaojun Wang, and Amit Sheth. Unsupervised discovery of compound entities for relationship extraction. pages 146--155. 2008.

Digital Library

Google Scholar

[11]

Cartic Ramakrishnan, Pablo N. Mendes, Rodrigo A. Gama, Guilherme C. Ferreira, and Amit P. Sheth. Joint extraction of compound entities and relationships from biomedical literature. In Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on, volume 1, pages 398--401, 2008.

Digital Library

Google Scholar

[12]

Amit P. Sheth and Cartic Ramakrishnan. Relationship web: Blazing semantic trails between web resources. IEEE Internet Computing, 11(4):77--81, 2007.

Digital Library

Google Scholar

[13]

D. R. Swanson. Migraine and magnesium: eleven neglected connections. Perspect Biol Med, 31(4):526--557, 1988.

Crossref

Google Scholar

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Gawich MAlfonse MAref MSalem A(2017)Ontology-Based Term Matching Approaches in Social MediaStrategic Innovative Marketing10.1007/978-3-319-56288-9_71(533-544)Online publication date: 3-Jun-2017
https://doi.org/10.1007/978-3-319-56288-9_71
Cameron DSmith GDaniulaityte RSheth ADave DChen LAnand GCarlson RWatkins KFalck R(2013)PREDOSEJournal of Biomedical Informatics10.1016/j.jbi.2013.07.00746:6(985-997)Online publication date: 1-Dec-2013
https://dl.acm.org/doi/10.1016/j.jbi.2013.07.007
Cameron DBodenreider OYalamanchili HDanh TVallabhaneni SThirunarayan KSheth ARindflesch T(2013)A graph-based recovery and decomposition of Swanson's hypothesis using semantic predicationsJournal of Biomedical Informatics10.1016/j.jbi.2012.09.00446:2(238-251)Online publication date: 1-Apr-2013
https://dl.acm.org/doi/10.1016/j.jbi.2012.09.004
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Semantics-empowered text exploration for knowledge discovery

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Information

Published In

ACMSE '10: Proceedings of the 48th annual ACM Southeast Conference

April 2010

488 pages

ISBN:9781450300643

DOI:10.1145/1900008

Conference Chair:
H. Conrad Cunningham
University of Mississippi
,
Program Chairs:
Paul Ruth,
Nicholas A. Kraft

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: 15 April 2010

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ACM SE '10

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ACM SE '10: ACM Southeast Regional Conference

April 15 - 17, 2010

Mississippi, Oxford

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ACMSE '10 Paper Acceptance Rate 48 of 94 submissions, 51%;

Overall Acceptance Rate 502 of 1,023 submissions, 49%

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Cited By

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Gawich MAlfonse MAref MSalem A(2017)Ontology-Based Term Matching Approaches in Social MediaStrategic Innovative Marketing10.1007/978-3-319-56288-9_71(533-544)Online publication date: 3-Jun-2017
https://doi.org/10.1007/978-3-319-56288-9_71
Cameron DSmith GDaniulaityte RSheth ADave DChen LAnand GCarlson RWatkins KFalck R(2013)PREDOSEJournal of Biomedical Informatics10.1016/j.jbi.2013.07.00746:6(985-997)Online publication date: 1-Dec-2013
https://dl.acm.org/doi/10.1016/j.jbi.2013.07.007
Cameron DBodenreider OYalamanchili HDanh TVallabhaneni SThirunarayan KSheth ARindflesch T(2013)A graph-based recovery and decomposition of Swanson's hypothesis using semantic predicationsJournal of Biomedical Informatics10.1016/j.jbi.2012.09.00446:2(238-251)Online publication date: 1-Apr-2013
https://dl.acm.org/doi/10.1016/j.jbi.2012.09.004
Cameron DKavuluru RBodenreider OMendes PSheth AThirunarayan K(2011)Semantic Predications for Complex Information Needs in Biomedical LiteratureProceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine10.1109/BIBM.2011.23(512-519)Online publication date: 12-Nov-2011
https://dl.acm.org/doi/10.1109/BIBM.2011.23

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Data exploration for bisociative knowledge discovery: a brief overview of tools and evaluation methods

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