An Ontology Evolution Approach for Information Retrieval Strategies with Compound Terms

TOLEDO, CARLOS M.; CHIOTTI, OMAR; GALLI, MARÍA R

Medellin

Conferencia; XXXVIII Conferencia Latinoamericana de Informática (CLEI 2012); 2012

Universidad de Medellin - Centro Latinoamericano de Estudios en Informática

Abstract—Domain ontologies are used in several document annotation and retrieval strategies for knowledge management systems. They help to improve semantic annotation and to provide context for information. Domain knowledge changes and grows over time as accumulated experiences and such evolution should be addressed by adding new terms in the ontology. In this paper, we propose an ontology evolution strategy for a knowledge management architecture based on distributed organisational memories. This strategy provides support for annotation and retrieval knowledge through natural language queries with compound terms. The proposed strategy adds new compound terms to domain ontology during the annotated process of a document, allowing the annotation process execution with an uncomplete ontology.—Domain ontologies are used in several document annotation and retrieval strategies for knowledge management systems. They help to improve semantic annotation and to provide context for information. Domain knowledge changes and grows over time as accumulated experiences and such evolution should be addressed by adding new terms in the ontology. In this paper, we propose an ontology evolution strategy for a knowledge management architecture based on distributed organisational memories. This strategy provides support for annotation and retrieval knowledge through natural language queries with compound terms. The proposed strategy adds new compound terms to domain ontology during the annotated process of a document, allowing the annotation process execution with an uncomplete ontology.