ACM Home Page
Please provide us with feedback. Feedback
On the use of spreading activation methods in automatic information
Full text PdfPdf (927 KB)
Source Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval table of contents
Grenoble, France
Pages: 147 - 160  
Year of Publication: 1988
ISBN:2-7061-0309-4
Authors
G. Salton  Department of Computer Science, Cornell University, Ithaca, NY
C. Buckley  Department of Computer Science, Cornell University, Ithaca, NY
Sponsor
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 10,   Downloads (12 Months): 115,   Citation Count: 30
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/62437.62447
What is a DOI?

ABSTRACT

Spreading activation methods have been recommended in information retrieval to expand the search vocabulary and to complement the retrieved document sets. The spreading activation strategy is reminiscent of earlier associative indexing and retrieval systems. Some spreading activation procedures are briefly described, and evaluation output is given, reflecting the effectiveness of one of the proposed procedures.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
ANDERSON83
 
COHEN87
 
COLLINS75
Collins A.M. and Loftus E.F., A Spreading Activation Theory of Semantic Processing, Psycholo#,,ical Revie#J,, 82, 1975, 407-428.
 
DOYLE75
Doyle L.B., Informaliopt Retrieval cttltt Provessitllg, Melville Publishing Company, Los Angeles, CA, 1975.
 
FOX83
 
GIULANO73
Giuliano V.E. and ,Jones P.I':., l#incar Associative Information Retrieval, in P. Howcrton (led.) Vislcls ill lr#/i#r#~#ti#n tlat#dlin4~, Spartan Books, Inc., Washington, DC 1983.
 
IDE71a
Idc E., New Experiments in Relevance Feedback, in :/'he' SMART l#elricval System--Exp(:rinlcl#ts in Automatic Do('ur#c#tt ProccssitL~~, ed. G. Salton, Englewood Cliffs, NJ, Prentice-Hall, Inc., 1971, 337-354.
 
IDE71b
Ide E. and Salton G., Interactive Search Strategies and Dynamic File Organization in Information Retrieval, in The SMART Rclrieval System-- Ex.perirnet#Is it# Automatic Docume, tlt. l)r{#ccssir#t,,, ed. G. Salton, Englewood Cliffs, NJ, Prentice-ltall, Inc., 1971, Chapter 18, 373-393.
 
JONES67
Jones P.E., Giuliano V.E. and Curtice A.E., Papers on Aulomated Laslguage Pro('cssitig, Vol. 2, Linear Models for Associative Retrieval, A.D. Little Inc., Report ESD TR 67-202, February 1967.
 
JONES87
 
LESK79
Lesk M.E., Word-word Associations in Document Retrieval Systems, Americatt Do(rum, et#tatiot#, 20:1, January 1989, 27-38.
 
RAGHAVAN86
Raghavan V.V. and Wong S.K.M., A Critical Analysis of the Vector Space Model for Information Retrieval, doutlral of lhe Amcricatt Society for lr, forn, at.ion Science, 37:5, Septernber 1986, 279-287.
 
ROBERTSON81
 
ROCCHIO71
Rocchio, Jr d.d., Relevance Feedback in Information Retrieval, in The SMART Retrieval S)'stern--Expcrimenl,s in Automatic Documel#l ProcessinA,, ed. G. Salton, Englewood Cliffs, NJ, Prentice-Hail, Inc., 1971, Chapter 14, 313- 323.
 
SALTON68
 
SALTON73
Salton G. and Yang C.S., On the Specification of Term Values in Automatic Indexing, Journal ofDucumenlation, 29:4, December 1973, 351-372.
 
SALTON75
Salton G., Yang C.S. and Yu C.T., A Theory of Term Importance in Automatic Text Analysis, Journ(11 of the American Society fi)r It#formalion Science, 26:1, January-February 1975, 33-44.
 
SALTON87
 
VAN RIJSBERGEN77
van Rijsbergen C.J., A Theoretical Basis for the Use of Co-occurrence Data in Information Retrieval, dourl#al of Documentation, 33, 1977, 106-119.
 
YU83
Yu C.T., Buckley C., Lain K. and Salton G., A Generalized Term Dependence Model in Information Retrieval, Informellion Techrlology" Research alzd Developmenl, 2:4, October 1983, 129-154.

CITED BY  30