Collaborative Information Retrieval Environment: Integration of Information Retrieval with Group Support Systems

Persistent Link:
http://hdl.handle.net/10150/105688
Title:
Collaborative Information Retrieval Environment: Integration of Information Retrieval with Group Support Systems
Author:
Romano, Nicholas C.; Roussinov, Dmitri G.; Nunamaker, Jay F.; Chen, Hsinchun
Citation:
Collaborative Information Retrieval Environment: Integration of Information Retrieval with Group Support Systems 1999,
Publisher:
HICSS
Issue Date:
1999
Description:
Artificial Intelligence Lab, Department of MIS, University of Arizona
URI:
http://hdl.handle.net/10150/105688
Submitted date:
2004-08-16
Abstract:
Observations of Information Retrieval (IR) system user experiences reveal a strong desire for collaborative search while at the same time suggesting that collaborative capabilities are rarely, and then only in a limited fashion, supported by current searching and visualization tools. Equally interesting is the fact that observations of user experiences with Group Support Systems (GSS) reveal that although access to external information and the ability to search for relevant material is often vital to the progress of GSS sessions, integrated support for collaborative searching and visualization of results is lacking in GSS systems. After reviewing both user experiences described in IR and GSS literature and observing and interviewing users of existing IR and GSS commercial and prototype systems, the authors conclude that there is an obvious demand for systems supporting multi-user IR.. It is surprising to the authors that very little attention has been given to the common ground shared by these two important research domains. With this in mind, our paper describes how user experiences with IR and GSS systems has shed light on a promising new area of collaborative research and led to the development of a prototype that merges the two paradigms into a Collaborative Information Retrieval Environment (CIRE). Finally the paper presents theory developed from initial user experiences with our prototype and describes plans to test the efficacy of this new paradigm empirically through controlled experimentation.
Type:
Conference Paper
Language:
en
Keywords:
Knowledge Management; Data Mining; Information Extraction
Local subject classification:
National Science Digital Library; NSDL; Artificial Intelligence lab; AI lab; Information retrieval; Group support systems

Full metadata record

DC FieldValue Language
dc.contributor.authorRomano, Nicholas C.en_US
dc.contributor.authorRoussinov, Dmitri G.en_US
dc.contributor.authorNunamaker, Jay F.en_US
dc.contributor.authorChen, Hsinchunen_US
dc.date.accessioned2004-08-16T00:00:01Z-
dc.date.available2010-06-18T23:31:53Z-
dc.date.issued1999en_US
dc.date.submitted2004-08-16en_US
dc.identifier.citationCollaborative Information Retrieval Environment: Integration of Information Retrieval with Group Support Systems 1999,en_US
dc.identifier.urihttp://hdl.handle.net/10150/105688-
dc.descriptionArtificial Intelligence Lab, Department of MIS, University of Arizonaen_US
dc.description.abstractObservations of Information Retrieval (IR) system user experiences reveal a strong desire for collaborative search while at the same time suggesting that collaborative capabilities are rarely, and then only in a limited fashion, supported by current searching and visualization tools. Equally interesting is the fact that observations of user experiences with Group Support Systems (GSS) reveal that although access to external information and the ability to search for relevant material is often vital to the progress of GSS sessions, integrated support for collaborative searching and visualization of results is lacking in GSS systems. After reviewing both user experiences described in IR and GSS literature and observing and interviewing users of existing IR and GSS commercial and prototype systems, the authors conclude that there is an obvious demand for systems supporting multi-user IR.. It is surprising to the authors that very little attention has been given to the common ground shared by these two important research domains. With this in mind, our paper describes how user experiences with IR and GSS systems has shed light on a promising new area of collaborative research and led to the development of a prototype that merges the two paradigms into a Collaborative Information Retrieval Environment (CIRE). Finally the paper presents theory developed from initial user experiences with our prototype and describes plans to test the efficacy of this new paradigm empirically through controlled experimentation.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherHICSSen_US
dc.subjectKnowledge Managementen_US
dc.subjectData Miningen_US
dc.subjectInformation Extractionen_US
dc.subject.otherNational Science Digital Libraryen_US
dc.subject.otherNSDLen_US
dc.subject.otherArtificial Intelligence laben_US
dc.subject.otherAI laben_US
dc.subject.otherInformation retrievalen_US
dc.subject.otherGroup support systemsen_US
dc.titleCollaborative Information Retrieval Environment: Integration of Information Retrieval with Group Support Systemsen_US
dc.typeConference Paperen_US
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