Abstract

Rapid growth of documents, web pages, and other types of text content is a huge challenge for the modern content management systems. One of the problems in the areas of information storage and retrieval is the lacking of semantic data. Ontologies can present knowledge in sharable and repeatedly usable manner and provide an effective way to reduce the data volume overhead by encoding the structure of a particular domain. Metadata in relational databases can be used to extract ontology from database in a special domain. According to solve the problem of sharing and reusing of data, approaches based on transforming relational database to ontology are proposed. In this paper we propose a method for automatic ontology construction based on relational database. Mining and obtaining further components from relational database leads to obtain knowledge with high semantic power and more expressiveness. Triggers are one of the database components which could be transformed to the ontology model and increase the amount of power and expressiveness of knowledge by presenting part of the knowledge dynamically.

Highlights

  • Today's society is dependent on information systems, so they affect on many of daily routines

  • Method which Zhou [17] has provided is placed in this category; in this paper only the information of relational database schema was converted to ontology and data still remain in the database because the author believes that managing and querying data in relational model is easier than the ontology

  • In this paper we present an approach based on transforming relational databases to the ontology model

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Summary

Introduction

Today's society is dependent on information systems, so they affect on many of daily routines. Large amounts of information is stored in information systems, they update quickly and make operations act easier. Organizations rely on information systems to manage their operations and interactions with customers and operators, they impose a profound impact on society. Find and integration of information are two main challenges in the information technology areas. Cooperate and interact between different information systems is one of the most important aspects of the daily operations of organizations. Since most of the data and information are in databases especially relational databases, the core of most studies in the field of information is finding and integrating of heterogeneous relational databases. Since relational database systems are designed and implemented separately, numerous challenges are created while these systems should interact with each other

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