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Concept Network A Structure for Context Sensitive Document Representation
Concept Network: A Structure for Context Sensitive
Document Representation
K R K Murthy
murthy@csa.iisc.ernet.in
S S Keerthiy
mpessk@.sg
M N Murty
mnm@csa.iisc.ernet.in
Abstract
In this paper we propose a directed acyclic graphical structure called concept net-
work (CNW) for context sensitive document representation for use in information filter-
ing. Nodes of CNW represent concepts and links represent the relationships between
the concepts. A concept can either be a phrase or a topic of discourse, or a mode of
discourse. An important feature of the CNW based scheme (CNWBS) is context filters
[Murthy and Keerthi, 1999] which are employed on the links of the graph to enable con-
text sensitive analysis and representation of documents. Context filters are intended to
filter the noise in the inputs of the concepts based on the context of appearance of their
inputs. The CNWBS automatically finds the paragraphs related to all concepts in the
document. It also provides good comprehensibility in representation; allows sharing of
CNW among a group of users; and, reduces the credit-assignment problem during its con-
struction. This representation scheme is used for document representation in Sharable
Instructable Information Filtering Agent that we are developing.
1 Introduction
Several document representation schemes have been proposed in the literature for use in
information filtering and information retrieval. Of these schemes, graphical representa-
tion schemes constitute a class of representation schemes which explicitly indicate rela-
tionships among various features and topics in the documents.
In this paper we propose a directed acyclic graphical structure called concept network
(CNW) for context sensitive text document analysis and representation for use in infor-
mation filtering. Nodes of a CNW represent concepts and links represent the relationships
between the concepts. A concept can either be a phrase or a topic of discourse, or a mode of
discourse. It emplo
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