The Understanding between Two Agent Crawlers based on Domain Ontology

Abstract

Ontology is widely used in the computer domain to structure concepts that represent a view of world. In this paper, we present the coordination between two Agent Crawlers based on ontology and try to measure the understanding between them relying on Formal Concept Analysis instead of comparing terms only. Here we propose a novel method on concept similarity for computing the Concept-Concept similarity, the Concept-Ontology similarity and the Ontology-Ontology similarity, and at last we can deduce the understanding between two Agent Crawlers. Finally, we can guide the crawlers effectively in our Search Engine.