research-article

Information Retrieval and Knowledge Discovery Utilizing a BioMedical Patent Semantic Web

Authors:

Sougata Mukherjea,

Pankaj KankarAuthors Info & Claims

IEEE Transactions on Knowledge and Data Engineering, Volume 17, Issue 8

Pages 1099 - 1110

https://doi.org/10.1109/TKDE.2005.130

Published: 01 August 2005 Publication History

Abstract

Before undertaking new biomedical research, identifying concepts that have already been patented is essential. A traditional keyword-based search on patent databases may not be sufficient to retrieve all the relevant information, especially for the biomedical domain. This paper presents BioPatentMiner, a system that facilitates information retrieval and knowledge discovery from biomedical patents. The system first identifies biological terms and relations from the patents and then integrates the information from the patents with knowledge from biomedical ontologies to create a Semantic Web. Besides keyword search and queries linking the properties specified by one or more RDF triples, the system can discover semantic associations between the Web resources. The system also determines the importance of the resources to rank the results of a search and prevent information overload while determining the semantic associations.

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Cited By

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https://dl.acm.org/doi/10.1016/j.engappai.2022.105697
Wu XZhu XWu M(2022)The Evolution of Search: Three Computing ParadigmsACM Transactions on Management Information Systems10.1145/349521413:2(1-20)Online publication date: 10-Mar-2022
https://dl.acm.org/doi/10.1145/3495214
Kaalia RGhosh I(2016)Semantics based approach for analyzing disease-target associationsJournal of Biomedical Informatics10.1016/j.jbi.2016.06.00962:C(125-135)Online publication date: 1-Aug-2016
https://dl.acm.org/doi/10.1016/j.jbi.2016.06.009
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Index Terms

Information Retrieval and Knowledge Discovery Utilizing a BioMedical Patent Semantic Web
1. Applied computing
  1. Life and medical sciences
2. Information systems
  1. Information retrieval
    1. Information retrieval query processing
    2. Retrieval models and ranking
  2. Information systems applications
    1. Data mining

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cover image IEEE Transactions on Knowledge and Data Engineering

IEEE Transactions on Knowledge and Data Engineering Volume 17, Issue 8

August 2005

142 pages

ISSN:1041-4347

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Copyright © 2005.

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IEEE Educational Activities Department

United States

Publication History

Published: 01 August 2005

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Cited By

Yüksel NBörklü HSezer HCanyurt O(2023)Review of artificial intelligence applications in engineering design perspectiveEngineering Applications of Artificial Intelligence10.1016/j.engappai.2022.105697118:COnline publication date: 1-Feb-2023
https://dl.acm.org/doi/10.1016/j.engappai.2022.105697
Wu XZhu XWu M(2022)The Evolution of Search: Three Computing ParadigmsACM Transactions on Management Information Systems10.1145/349521413:2(1-20)Online publication date: 10-Mar-2022
https://dl.acm.org/doi/10.1145/3495214
Kaalia RGhosh I(2016)Semantics based approach for analyzing disease-target associationsJournal of Biomedical Informatics10.1016/j.jbi.2016.06.00962:C(125-135)Online publication date: 1-Aug-2016
https://dl.acm.org/doi/10.1016/j.jbi.2016.06.009
Noh HJo YLee S(2015)Keyword selection and processing strategy for applying text mining to patent analysisExpert Systems with Applications: An International Journal10.1016/j.eswa.2015.01.05042:9(4348-4360)Online publication date: 1-Jun-2015
https://dl.acm.org/doi/10.1016/j.eswa.2015.01.050
Nunes TSchwabe D(2014)Exploration of semi-structured data sourcesProceedings of the 3rd International Conference on Intelligent Exploration of Semantic Data - Volume 127910.5555/2877799.2877804(42-53)Online publication date: 20-Oct-2014
https://dl.acm.org/doi/10.5555/2877799.2877804
Park HRho SPark J(2011)A Link-Based Ranking Algorithm for Semantic Web ResourcesJournal of Database Management10.4018/jdm.201101010122:1(1-25)Online publication date: 1-Jan-2011
https://dl.acm.org/doi/10.4018/jdm.2011010101
Mirizzi RRagone ADi Noia TDi Sciascio E(2010)Ranking the linked dataProceedings of the 10th international conference on Web engineering10.5555/1884110.1884138(337-354)Online publication date: 5-Jul-2010
https://dl.acm.org/doi/10.5555/1884110.1884138
Mirizzi RRagone ADi Noia TDi Sciascio EHuang JKoudas NJones GWu XCollins-Thompson KAn A(2010)Semantic tags generation and retrieval for online advertisingProceedings of the 19th ACM international conference on Information and knowledge management10.1145/1871437.1871576(1089-1098)Online publication date: 26-Oct-2010
https://dl.acm.org/doi/10.1145/1871437.1871576
Zheng QChen HYu TPan G(2009)Collaborative semantic association discovery from linked dataProceedings of the 10th IEEE international conference on Information Reuse & Integration10.5555/1689250.1689321(394-399)Online publication date: 10-Aug-2009
https://dl.acm.org/doi/10.5555/1689250.1689321

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