@Article{case01a,
  author =	 {Simon Case and Nader Azarmi and Marcus Thint and
                  Takeshi Ohtani},
  title =	 {Enhancing E-Communities with Agent-Based Systems},
  journal =	 {{IEEE} Computer},
  year =	 2001,
  volume =	 34,
  number =	 7,
  month =	 {July},
  abstract =	 {Traditionally, the term community refers to a
                  location where people with common interests gather
                  to share experiences, ask questions, or
                  collaborate. Because they are present in the same
                  locale, members can meet easily to learn from each
                  other by sharing their explicit knowledge and
                  revealing information about their successes and
                  failures. E-communities can use Web technologies to
                  provide geographically disparate groups with the
                  same sense of community. To thrive, these virtual
                  communities require software agents that perform
                  many of the functions that print resources and
                  membership services provide to traditional
                  communities. The authors' studies have shown that
                  intelligent software agents, in the role of personal
                  agents, can effectively provide data sharing,
                  personalized services, and pooled knowledge while
                  maintaining user privacy and promoting interaction
                  in e-communities. Future research should include
                  further investigation of several topics, including
                  automatic learning of short- and long-term user
                  interests, improving information retrieval accuracy,
                  and ontology management. Successful deployment of
                  multi-IDIoMS systems requires addressing ontology
                  management--an issue that generally plagues the
                  Internet. However, recognizing and efficiently
                  collating information about similar topics within
                  heterogeneous data sources remain difficult issues
                  to resolve. Using XML and other standards can
                  mitigate some concerns, but it does not provide a
                  solution to other key issues, especially with regard
                  to legacy data. Nonetheless, the authors believe
                  that their agent-based information management system
                  provides a powerful application for use in complex,
                  distributed Internet e-communities. },
  googleid = 	 {0gk1i-qTbIQJ:scholar.google.com/},
  url =		 {http://jmvidal.cse.sc.edu/library/r7064.pdf},
  cluster = 	 {9542164346058377682}
}