An Ontology Construction Approach for the Domain Of Poultry Science Using Protege

The information retrieval systems that are present nowadays are mainly based on full text matching of keywords or topic based classification. This matching of keywords often returns a large number of irrelevant information and this does not meet the users query requirement. In order to solve this problem and to enhance the search using semantic environment, a technique named ontology is implemented for the field of poultry in this paper. Ontology is an emerging technique in the current field of research in semantic environment. This paper constructs ontology using the tool named Protege version 4.0 and this also generates Resource Description Framework schema and XML scripts for using poultry ontology in web.

Development Of Ontology-Based Intelligent System For Software Testing

Software testing is a prime factor in software industry. Besides knowing the importance of testing, only limited time is allocated for teaching it. It will be more efficient if testing is taught simultaneously with programming foundations. This integrated learning of testing techniques and programming allows the programmers to perform in a better way and this leads to the improvement of the performance of the industry progress. In this paper, a technique named ontology is introduced, it first defines the various testing process in hierarchy and define relationships among them, to share and reuse the knowledge that is captured, secondly metadata is created by natural language processing and finally, the application use ontologies to support test management, it act as knowledge base for multiple environment with the integrated teaching of programming foundation and testing concepts. Keywords: Meta Data, Ontology, Software Testing, Integration, Programming Foundations.