A semantic cache for enhancing Web services communities activities: Health care case Study
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2012, Vol 3, Issue 10
Abstract
Collective memories are strong support for enhancing the activities of capitalization, management and dissemination inside a Web services community. To take advantages of collective memory, we propose an approach for indexing a health care Web services community’s’ resources with semantic annotations explaining and formalizing its informative content. Then we show how the health care Web services community’ members exploit their collective memory by expressing their queries allowing them searching relevant resources in order to perform their activities.
Authors and Affiliations
Hela Limam, Jalel Akaichi
Keywords
Related Articles
- EP ID EP119839
- DOI -
- Views 93
- Downloads 0
Applied Artificial Intelligence in 3D-game (HYSTERIA) using UNREAL ENGINE4
Game development industry spreading it roots at wider level. With the advancements in gaming technologies industries adopted latest trends for developing modern games. Artificial intelligence (AI) with programming provid...
Evaluating the Quality of UCP-Based Framework using CK Metrics
Software effort estimation is one of the most important concerns in the software industry. It has received much attention since the last 40 years to improve the accuracy of effort estimate at early stages of software dev...
Comparison of Event Choreography and Orchestration Techniques in Microservice Architecture
Microservice Architecture (MSA) is an architectural design pattern which was introduced to solve the challenges involved in achieving the horizontal scalability, high availability, modularity and infrastructure agility f...
Implementation of Forward Chaining and Certainty Factor Method on Android-Based Expert System of Tomato Diseases Identification
Plant disease is one of the reasons that cause the destruction of plant. It affects plant productivity and quality. Most of the farmers made mistake in cope with this problem because of the lack of knowledge. Expert syst...
Face Age Estimation Approach based on Deep Learning and Principle Component Analysis
This paper presents an approach for age estimation based on faces through classifying facial images into predefined age-groups. However, a task such as the one at hand faces several difficulties because of the different...