Tech Reports
Tech Report kmi-02-04 Abstract
Intelligent scheduling - A Literature Review
Techreport ID: kmi-02-04
Date: 2002
Author(s): Dnyanesh Gajanan Rajpathak
The literature review builds the initial foundation in understanding our domain of interest, i.e. knowledge-intensive approach for the scheduling application. In order to comprehend the nature of scheduling problem more soundly it is important to understand the nature of planning paradigm, which goes hand in hand with the scheduling problem. Usually, the scheduling problem comes in a variety of flavours and hence it is vital to know the development of various aspects that are involved in constructing a good schedule. In generic terms the scheduling deals with the temporal assignment of jobs to the resources within the given time framework while maintaining the various constraints. The nature of the components involved in a schedule exhibits quite complicated inter-relation with each other. At the same time a good schedule can be seen as a key to success in variety of applications such as, manufacturing, resource allocation, project management etc. It makes the scheduling problem very interesting to deal with. The proposed literature review looks at various issues that are involved in a building a library of problem-solving methods. Although, the literature covers the broad category such as, conventional planning and scheduling paradigms, some of the existing systems built for scheduling application, the knowledge-based perspective looking at a scheduling problem. During which we talk about the knowledge, knowledge sharing, modelling etc. Finally, we see some of the existing task ontologies and the library of problem solving methods that are developed for the scheduling application.
Future Internet
KnowledgeManagementMultimedia &
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HypermediaNew Media SystemsSemantic Web &
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Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...
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