Article

BioPatentMiner: an information retrieval system for biomedical patents

Authors:

Sougata Mukherjea,

Bhuvan BambaAuthors Info & Claims

VLDB '04: Proceedings of the Thirtieth international conference on Very large data bases - Volume 30

Pages 1066 - 1077

Published: 31 August 2004 Publication History

Abstract

Before undertaking new biomedical research, identifying concepts that have already been patented is essential. Traditional keyword based search on patent databases may not be sufficient to retrieve all the relevant information, especially for the biomedical domain. More sophisticated retrieval techniques are required. This paper presents BioPatentMiner, a system that facilitates information retrieval from biomedical patents. It integrates 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 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

Zhang LLi LLi T(2015)Patent MiningACM SIGKDD Explorations Newsletter10.1145/2783702.278370416:2(1-19)Online publication date: 21-May-2015
https://dl.acm.org/doi/10.1145/2783702.2783704
Lupu MHanbury A(2013)Patent RetrievalFoundations and Trends in Information Retrieval10.1561/15000000277:1(1-97)Online publication date: 20-Feb-2013
https://dl.acm.org/doi/10.1561/1500000027
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
Show More Cited By

Index Terms

BioPatentMiner: an information retrieval system for biomedical patents
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
      1. Semantic networks
2. Information systems
  1. Information retrieval
    1. Evaluation of retrieval results
  2. Information systems applications
    1. Data mining

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cover image DL Hosted proceedings

VLDB '04: Proceedings of the Thirtieth international conference on Very large data bases - Volume 30

August 2004

1380 pages

ISBN:0120884690

Sponsors

VLDB Endowment: Very Large Database Endowment

Publisher

VLDB Endowment

Publication History

Published: 31 August 2004

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Cited By

Zhang LLi LLi T(2015)Patent MiningACM SIGKDD Explorations Newsletter10.1145/2783702.278370416:2(1-19)Online publication date: 21-May-2015
https://dl.acm.org/doi/10.1145/2783702.2783704
Lupu MHanbury A(2013)Patent RetrievalFoundations and Trends in Information Retrieval10.1561/15000000277:1(1-97)Online publication date: 20-Feb-2013
https://dl.acm.org/doi/10.1561/1500000027
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
Taduri SLau GLaw KYu HKesan JBertot JNahon KChun SLuna-Reyes LAtluri V(2011)Developing an ontology for the U.S. patent systemProceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times10.1145/2037556.2037579(157-166)Online publication date: 12-Jun-2011
https://dl.acm.org/doi/10.1145/2037556.2037579
Doore SBeard KBult CÇatalyürek ÜLuo GAndrade HSmalheiser N(2010)An ontology based personal exposure historyProceedings of the 1st ACM International Health Informatics Symposium10.1145/1882992.1883097(674-683)Online publication date: 11-Nov-2010
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Chu ASakurai SCardenas ATait J(2008)Automatic detection of treatment relationships for patent retrievalProceedings of the 1st ACM workshop on Patent information retrieval10.1145/1458572.1458575(9-14)Online publication date: 30-Oct-2008
https://dl.acm.org/doi/10.1145/1458572.1458575
Perry MSheth AHakimpour FJain P(2007)Supporting complex thematic, spatial and temporal queries over semantic web dataProceedings of the 2nd international conference on GeoSpatial semantics10.5555/1778502.1778522(228-246)Online publication date: 29-Nov-2007
https://dl.acm.org/doi/10.5555/1778502.1778522
Anyanwu KMaduko ASheth AWilliamson CZurko MPatel-Schneider PShenoy P(2007)SPARQ2LProceedings of the 16th international conference on World Wide Web10.1145/1242572.1242680(797-806)Online publication date: 8-May-2007
https://dl.acm.org/doi/10.1145/1242572.1242680
Perry MHakimpour FSheth Ade By RNittel S(2006)Analyzing theme, space, and timeProceedings of the 14th annual ACM international symposium on Advances in geographic information systems10.1145/1183471.1183496(147-154)Online publication date: 10-Nov-2006
https://dl.acm.org/doi/10.1145/1183471.1183496
Lee TShim JLee HLee S(2005)A pragmatic approach to model and exploit the semantics of product informationJournal on Data Semantics VII10.5555/2167863.2167872(242-266)Online publication date: 1-Jan-2005
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