Abstract

The purpose and the goal of the paper is using a semantic web and XML (the Extensible Markup Language) technologies for managing medical information during a diagnostic process is studied. Following a steady international move towards optimization of health care delivery, the latest development in information technology has drawn the health care industry decision makers’ attention. The introduction of proper information technology innovations within the health care processes should provide the necessary optimization. In this manner can be proposed an approach to manage medical data during the whole diagnostic process using the semantic Web and XML technologies. The purpose of the Semantic Web is to bring structure to the content of Web pages allowing software agents to carry out intelligent tasks for the user. This opens a new set of opportunities that can be utilized to improve health care management on a personal and health care provider level.The aim of this paper in progress is to identify the needs and match them to the services possible with the Semantic Web. In this paper, presented an ontology-based framework that successfully combines both Semantic Web and XML technologies to enable the integrated access to biological data sources. The main goal is the seamless integration and application of these technologies in such a way that their deficiencies are over come and their utility maximized.Keywords: Health Care, Semantic Web, Ontology, XML.

Highlights

  • The aim of the Semantic Web is to make the Web as intelligent as possible[1]

  • We present an ontology-based framework that successfully combines both Agent and Semantic Web Services technologies to enable the integrated access to biological data sources[7]

  • The definition [16] differs from this point of view as we show later

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Summary

Introduction

The aim of the Semantic Web is to make the Web as intelligent as possible[1]. By describing relationships between objects and properties of objects the Web is no longer seen as links between web pages, but as one large database with information. We present an ontology-based framework that successfully combines both Agent and Semantic Web Services technologies to enable the integrated access to biological data sources[7]. The definition [16] differs from this point of view as we show later It was defined an ontology as an intentional description of what is known about the essence of the entities in a particular domain of interest using abstractions, called concepts and the relationships among them. Ontologies [21] are designed for being used in applications that need to process the content of information, as well as, to reason about it, instead of just presenting information to humans They permit greater machine interpretability of content than that supported by XML, and OWL, by providing additional vocabulary along with a formal semantics. Jaundice [22], is a yellowing of the skin, Hyperbiliru Ca

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Computer Engineering and Intelligent Systems
Domain Ontology
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