An intelligent system for document retrieval in distributed office environments

Abstract

MINDS (Multiple IntelligentNode Document Servers) is a distributed system of knowledge-based query engines for efficiently retrieving multimedia documents in an office environment of distributed workstations. By learning document distribution patterns, as well as user interests and preferences during system usage, it customizes document retrievals for each user. A two-layer learning system has been implemented for MINDS. The knowledge base used by the query engine is learned at the lower level with the help of heuristics for assigning credit and recommending adjustments; these heuristics are in. crementally refined at the upper level.

An adaptive social network for information access: Theoretical and experimental results

“…The importance of referrals has been known for a long time, e.g., [Lin, 1971, Reynolds and Darden, 1971, Reingen and Kernan, 1986, but the ideas of referral systems appeared only recently, e.g., MINDS (based on the documents used by each user) [Bonnell et al, 1984, Mukhopadhyay et al, 1986, and ReferralWeb (based on co-citations, i.e., co-occurrence of names on WWW pages) [Kautz et al, 1997b,a]. The informal person-to-person social networks are used to construct "referral chains" of requests for expertise, and software agents help automate the search of information and expertise [Kautz et al, 1996].…”

Trustworthy Service Composition: Challenges and Research Questions

“…The earliest agent-based referral system that we know of is MINDS, which was based on the documents used by each user [19]. ReferralWeb is based on the co-occurrence of names on WWW pages [16].…”

Agent theories, architectures, and languages: A survey

“…DAI researchers have applied agent technology in a variety of areas. Example applications include power systems management [141], air traffic control [128], and intelligent document retrieval [98]. The classic reference to DAI is [13].…”