Persistent Link:
http://hdl.handle.net/10150/106436
Title:
Approach on the Vocabulary Problem in Collaboration
Author:
Chen, Hsinchun
Citation:
Approach on the Vocabulary Problem in Collaboration 1993,
Issue Date:
1993
Description:
Artificial Intelligence Lab, Department of MIS, University of Arizona
URI:
http://hdl.handle.net/10150/106436
Submitted date:
2004-09-20
Abstract:
Previous research in information science and in human-computer interaction has shown that people tend to use different terms to describe a similar concept. Due to the unique backgrounds, training, and experiences of different people, the chance of two collaborators using the same term to describe a concept or an object for a common task is quite low. This vocabulary difference has created difficulties for both synchronous and asynchronous collaborations. Bridging the gap between vocabularies of different collaborators is one of the most pressing challenges for computer-supported cooperative work (CSCW) system designers. In this research we propose a concept space approach and describe its associated algorithms for solving the vocabulary problem. For illustration purposes, we present two implementation examples. The first implementation involved extracting and linking C. elegans worm-specific vocabularies for assisting molecular biology researchers in information retrieval and information sharing. The second example describes a system which helped resolve meeting participants' vocabulary problem during a group brainstorming and idea organization process. By adopting automatic indexing, cluster analysis, and neural network classification techniques, this research has shown the feasibility of an algorithmic approach to solving the vocabulary problem in collaboration.
Type:
Conference Paper
Language:
en
Keywords:
Human Computer Interaction; Information Science
Local subject classification:
National Science Digital Library; NSDL; Artificial intelligence lab; AI lab; CSCW; Vocabulary problem; Concept clustering; Concept space

Full metadata record

DC FieldValue Language
dc.contributor.authorChen, Hsinchunen_US
dc.date.accessioned2004-09-20T00:00:01Z-
dc.date.available2010-06-18T23:46:27Z-
dc.date.issued1993en_US
dc.date.submitted2004-09-20en_US
dc.identifier.citationApproach on the Vocabulary Problem in Collaboration 1993,en_US
dc.identifier.urihttp://hdl.handle.net/10150/106436-
dc.descriptionArtificial Intelligence Lab, Department of MIS, University of Arizonaen_US
dc.description.abstractPrevious research in information science and in human-computer interaction has shown that people tend to use different terms to describe a similar concept. Due to the unique backgrounds, training, and experiences of different people, the chance of two collaborators using the same term to describe a concept or an object for a common task is quite low. This vocabulary difference has created difficulties for both synchronous and asynchronous collaborations. Bridging the gap between vocabularies of different collaborators is one of the most pressing challenges for computer-supported cooperative work (CSCW) system designers. In this research we propose a concept space approach and describe its associated algorithms for solving the vocabulary problem. For illustration purposes, we present two implementation examples. The first implementation involved extracting and linking C. elegans worm-specific vocabularies for assisting molecular biology researchers in information retrieval and information sharing. The second example describes a system which helped resolve meeting participants' vocabulary problem during a group brainstorming and idea organization process. By adopting automatic indexing, cluster analysis, and neural network classification techniques, this research has shown the feasibility of an algorithmic approach to solving the vocabulary problem in collaboration.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.subjectHuman Computer Interactionen_US
dc.subjectInformation Scienceen_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.otherCSCWen_US
dc.subject.otherVocabulary problemen_US
dc.subject.otherConcept clusteringen_US
dc.subject.otherConcept spaceen_US
dc.titleApproach on the Vocabulary Problem in Collaborationen_US
dc.typeConference Paperen_US
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