Ontology-based Semantic Search Engine for Healthcare Services
Journal Title: International Journal on Computer Science and Engineering - Year 2012, Vol 4, Issue 4
Abstract
With the development of Web Services, the retrieval of relevant services has become a challenge. The keyword-based discovery mechanism using UDDI and WSDL is insufficient due to the retrieval of a large amount of irrelevant information. Also, keywords are insufficient in expressing semantic concepts since a single concept can be referred using syntactically different terms. Hence, service capabilities need to be manually analyzed, which lead to the development of the Semantic Web for automatic service discovery and retrieval of relevant services and resources. This work proposes the incorporation of Semantic matching methodology in Semantic Web for improving the efficiency and accuracy of the discovery mechanism.
Authors and Affiliations
Jotsna Molly Rajan , M. Deepa Lakshmi
Keywords
Related Articles
- EP ID EP86723
- DOI -
- Views 112
- Downloads 0
ADAPTIVE RESONANCE THEORY (ART1) APPROACH IN CBIR SYSTEM
In these days an image retrieval system has become a challenging task. Many systems based on the text based retrieval but the need of image based retrieval system that takes an image as the input query and retrieves imag...
Implementation of an Energy Efficient Reconfigurable uthentication Unit for Software Radio
To promote the commercial implementation of software ownload for Software Defined Radio (SDR) terminals, a secure method of download is vital. Downloading of all the relevant software is performed via a public channel,...
Evolutionary Aspects Of Windows Operating System To Enhance Existing Technology
The evolutionary trends in windows technology tends to hange since from the beginning including kernel, Graphical (GUI), Device drivers, interfaces etc. This paper presents a brief and comprehensive statistical analysis...
A Review of Feature Selection Algorithms for Data Mining Techniques
Feature selection is a pre-processing step, used to improve the mining performance by reducing data dimensionality. Even though there exists a number of feature selection algorithms, still it is an active research area i...
Detection of Rice Leaf Diseases Using Chaos and Fractal Dimension in Image Processing
A novel method for detecting rice leaf disease using image processing technique called fractal dimension and chaos theory is proposed in this paper. The analysis of a diseased leaf is carried out according to its image p...