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New Technology of Library and Information Service  2004, Vol. 20 Issue (6): 1-5    DOI: 10.11925/infotech.1003-3513.2004.06.01
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Information Extraction and Its Functions in the Digital Library
Zhang Zhixiong
(Library of Chinese Academy of Science, Beijing 100080, China)
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Abstract  

Information Extraction (IE) is a term which has come to be applied to the activity of automatically extracting pre-specified sorts of information from natural language texts. This paper analyses the basic concept of information extraction, the main research activities on information extraction, the type of information extraction and the system of information extraction. The author believes information extraction will play a very important role in coping with the huge collection of digital information. It can provide helps in automat ic annotation of digital materials, automatic acquisition of metadata, improving data mining in information analysis, developing knowledge base from free text, and generating answers in digital reference system.

Key wordsInformation Extraction(IE)      Message understanding conference      Digital library      Natural language processing     
Received: 08 March 2004      Published: 25 June 2004
ZTFLH: 

G250.76

 
Corresponding Authors: Zhang Zhixiong     E-mail: zhangzhx@mail.las.ac.cn
About author:: Zhang Zhixiong

Cite this article:

Zhang Zhixiong. Information Extraction and Its Functions in the Digital Library. New Technology of Library and Information Service, 2004, 20(6): 1-5.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2004.06.01     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2004/V20/I6/1

1  Andrew Joscelyne and Rose Lockwood,EUROMAP Final Report: BenchmarkingHLTprogressinEurope-FullReport. http://www.hltcentral.org/usrdocs/Euromap-report/EUROMAP-Final-Report-Full-May-2003.pdf(AccessedFeb.8,2004)
2  Gate Information Extraction,http://gate.ac.uk/ie/(Accessed Feb.8,2004)
3  NLP group of University of Sheffield,Information Extraction.
http://nlp.shef.ac.uk/research/areas/ie.html(Accessed Feb.8,2004)
4  Douglas E.Appeltand DavidJ.Israel,Introduction to Informa
tion Extraction.Technology,http://www.ai.sri.com/~appelt/ie-tutorial/(Accessed Feb.8,2004)
5  Donna Harman,Whatis Information Extraction? http://www.itl.nist.gov/iaui/894.02/relatedprojects/muc/info/whatsie.html(Accessed Feb.8,2004)
6  Hamish Cunningham,Information Extraction-a User Guide(SecondEdition),http://www.dcs.shef.ac.uk/~hamish/IE/userguide/main.html(Accessed Feb.8,2004)
7  RALI,Bilingual Information Extraction,http://www.iro.umontreal.ca/~kosseim/Extraction/ProjetEI.en.html(Accessed Feb.8,2004)
8  Jakub Piskorski&FeiyuXu,Overview of MUC and Introduction to Text Mining,http://www.dfki.de/~feiyu/HS-TM-IE/textM.ppt(Accessed Feb.8,2004)
9  Nancy A.Chinchor,OVERVIEWOFMUC-7/MET , http://www.itl.nist.gov/iaui/894.02/relatedprojects/muc/proceedings/muc7proceedings/overview.html(Accessed Feb.
8,2004)
10  E.Marsh&D.Perzanowski,MUC-7EVALUATION OF IE TECHNOLOGY:Overviewofresults,http://www.itl.nist.gov/iaui/894.02/relatedprojects/muc/proceedings/muc7proceedings/marshslides.pdf(Accessed Feb.8,2004)
11  ACE-Automatic Content Extraction,http://nist.gov/speech/tests/ace/index.htm(Accessed Feb.8,2004)
12  Diana Maynard,Kalina Bontcheva,Hamish Cunningham,To wards a semantic extraction of named entities,In Proceedings Recent Advances in Natural,Borovets,Bulgaria,2003.http://gate.ac.uk/sale/ranlp03/ranlp03.pdf(Accessed Feb.8,2004)
13  H.Cunningham etc.,GATE:A framework and graphical development environment for robust NLP tools and applications,Proceedings of the 40th Anniversary Meeting of the Associationfor Computational Linguistics(2002).http://gate.ac.uk/sale/acl02/acl-main.pdf(Accessed Feb.8,2004)
14  Valentin Tablan,GATE and Information Extraction,http://gate.ac.uk/sale/talks/gothenburg/index.html(Accessed Feb.8,2004)
15  ANNIE.http://www.gate.ac.uk/sale/tao/index.html#annie(Accessed Feb.8,2004)
16  Kalina Bontchevaetc.,Using Human Language Technology for Automatic Annotation and Indexing of Digital Library Content.Proceedings of the 6th European Conference on Research and Advanced Technology for Digital Libraries(ECDL’2002),Rome, September2002.http://gate.ac.uk/sale/ecdl02/ecdl.pdf(Accessed Feb.8,2004)
17  Reinoso-Castillo,J.(2002).Ontolgy-Driven Information Extraction and Integration from Autonomous ,Heterogeneous,Distributed Data Sources--AFederatedQuery-Centric Approach.Masters Thesis.Artificial Intelligence Research Laboratory.Department of Computer Science.Iowa State University
(Accessed Feb.8,2004)
18  Vasant Honavaretc.,Ontology-Driven Information Extraction and Knowledge Acquisition from Heterogeneous,Distributed,Autonomous Biological Data Sources.http://www.cs.iastate.edu/~honavar/Papers/ijcaiworkshoppaper.pdf(AccessedFeb.8,2004)
19  Roazhon,Information Extraction:from unstructured texts to knowledge bases,http://tim.irisa.fr/veille/text-mining/thales.ppt(Accessed Feb.8,2004)
20  Rohini Srihariand WeiLi,Information Extraction Supported Question Answering.http://trec.nist.gov/pubs/trec8/papers/cymfony.pdf(Accessed Feb.8,2004)

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