Information Retrieval with Conceptual Graph Matching

Authors:
Manuel Montes-y-Gómez;Aurelio López-López;Alexander F. Gelbukh
Affiliations:
-;-;-
Venue:
DEXA '00 Proceedings of the 11th International Conference on Database and Expert Systems Applications
Year:
2000

Citing 6
Cited 8

Conceptual structures: information processing in mind and machine

Conceptual structures: information processing in mind and machine
Clustering algorithms

Information retrieval
Knowledge representation: logical, philosophical and computational foundations

Knowledge representation: logical, philosophical and computational foundations
Introduction to Modern Information Retrieval

Introduction to Modern Information Retrieval
An Experiment in Document Retrieval Using Conceptual Graphs

ICCS '97 Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream
Document Title Patterns in Information Retrieval

TSD '99 Proceedings of the Second International Workshop on Text, Speech and Dialogue

Flexible Comparison of Conceptual GraphsWork done under partial support of CONACyT, CGEPI-IPN, and SNI, Mexico

DEXA '01 Proceedings of the 12th International Conference on Database and Expert Systems Applications
An information retrieval driven by ontology from query to document expansion

Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
Cross-lingual document representation and semantic similarity measure: a fuzzy set and rough set based approach

IEEE Transactions on Fuzzy Systems
Structure and attribute index for approximate graph matching in large graphs

Information Systems
Classifying graphs using theoretical metrics: a study of feasibility

DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications
Interlinguas: a classical approach for the semantic web. a practical case

MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
DILUCT: an open-source spanish dependency parser based on rules, heuristics, and selectional preferences

NLDB'06 Proceedings of the 11th international conference on Applications of Natural Language to Information Systems
Extract conceptual graphs from plain texts in patent claims

Engineering Applications of Artificial Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

The use of conceptual graphs for the representaion of text contents in information retrievel is discussed. A method for measuring the similarity between two texts represented as conceptual graphs is presented. The method is based on well-known strategies of text comparison, such as Dice coefficient, with new elements introduced due to the bipartite nature of the conceptual graphs. Examples of the representation and comparison of the phrases are given. The structure of an information retrieval system using two-level document representation, traditional keywords and conceptual graphs, is presented.