Improving Ontology Matching Towards Achieving Semantic Interoperability

Description

– Improving Ontology Matching Towards Achieving Semantic Interoperability –

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Abstract

This work proposes an algorithm for concept matching, applied in the ontology mapping domain. The basic idea is to seek the effective semantics embedded in the concept name by analyzing the contexts in which it appears.

Through simple interaction with the known lexicon WordNet, the right meaning associated with a concept is unequivocally elicited by exploring their local semantic contexts.

This approach reveals interesting results for the word sense disambiguation, when polysemy problems require a semantic interpretation.

The algorithm, though takes a longer time but yet produce a better matching because the concepts in the ontology trees are populated with much semantic information at the end of the first and second step of the matching process.

Introduction

1.1 Background of the Study

The world wide web is the greatest repository of information ever assembled by man. It contains documents and multimedia resources concerning almost every imaginable subject, and all of these data are instantaneously available to anyone with an Internet connection.

The web’s success is largely due to its decentralized design: web pages are hosted by numerous computer, where each document can point to other documents, either on the same or different computers.

As a result, individuals all over the world can provide content on the web, allowing it to grow exponentially as more and more people learn how to use it.

However, the web’s size has also become its limitation. Due to the sheer volume of available information, it is becoming increasingly difficult to locate useful information.

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