June 11: B.C.Desai, Concordia Indexing and Discovery System

Subject: June 11: B.C.Desai, Concordia Indexing and Discovery System
From: Helmut Veith (kgs-owner@dbai.tuwien.ac.at)
Date: Tue Jun 08 1999 - 15:46:37 MET DST

Lecture Announcement

Bipin C. Desai
Concordia University, Montreal

CINDI: Concordia Indexing and Discovery System
Friday, June 11, 1999, 11:00

Seminarraum 184/3, Treitlstr. 3, 4. Stock


There has been an exponential increase in the amount of digital
information accessible on-line. This collection forms the core of an
amorphous virtual digital library. Also, there is an increasing number
of users who have the potential to contribute to this collection. The
need for indexes to help in the search for and access relevant
information has been recognized by the information retrieval community
and more recently by the Internet community. This need has resulted in
the continuing effort to describe and organize information so as to
facilitate its expected discovery and ready access. In searching for
information resources using the existing search systems, one finds the
recall(completeness) and precision(relevance) of retrieval falling
short due to the poorly organized description of the resources many of
which may not even been indexed.

We have proposed an index structure called Semantic Header for storing
the bibliographic information of digital resources. Using this
structure, we have built a prototype version of a system called CINDI
(Concordia INdexing and DIscovery System), for cataloguing, searching
and annotating documents in a digital library. The curent prototype is
a centralized system limited to the area of computer science ane
electrical engineering subject headings. CINDI allows the provider of a
resource to catalogue her document using an expert system to guide her
in choosing correct subject terms. Subsequently, a searcher can locate
the index entry and thence access the source document. An annotation
facility is also provided to allow a reader to make comments on the
document. Such comments would be stored in the semantic header for the
document and be useful for future searchers in helping judge the
relevancy of the document. This is important where cost is involved in
getting the source document and where the document may not be available

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