Paper Info
Title
Design Issues for Agent-Based Resource Locator Systems
Abstract
While knowledge is viewed by many as an asset, it is often difficult to locate particular items within a large electronic corpus. This paper presents an agent based framework for the location of resources to resolve a specific query, and considers the associated design issue. Aspects of the work presented complements current research into both expertise finders and recommender systems. The essential issues for the proposed design are scalability, together with the ability to learn and adapt to changing resources. As knowledge is often implicit within electronic resources, and therefore difficult to locate, we have proposed the use of ontologies, to extract the semantics and infer meaning to obtain the results required. We explore the use of communities of practice, applying ontology-based networks, and e-mail message exchanges to aid the resource discovery process.
Year
DOI
Venue
2002
10.1007/3-540-36277-0_15
PAKM
Keywords
Field
DocType
essential issue,expertise finder,electronic resource,large electronic corpus,e-mail message exchange,ontology-based network,associated design issue,design issues,agent-based resource locator systems,current research,infer meaning,proposed design,recommender system
Recommender system,Ontology (information science),Data mining,Ontology,Knowledge representation and reasoning,Computer science,Knowledge management,Business process discovery,Semantics,Scalability
Conference
Volume
ISSN
ISBN
2569
0302-9743
3-540-00314-2
Citations 
PageRank 
References 
0
0.34
21
Authors
6
Name
Order
Citations
PageRank
Gary Wills153156.82
Harith Alani21957149.66
Ronald Ashri3888.07
Richard Crowder411312.73
Yannis Kalfoglou5105774.48
S. Kim627023.89