Ontology is the future and concepts are the backbone of ontology. In this work a controlled narrow vocabulary was prepared by the experts from accounting domain particularly to financial accounting. Further, a relationship was explored within the concepts and verified. The main goal of this paper is building an accounting ontology as a first step for creating an organizational accounting repository that will allow domain knowledge storing and dissemination. In this research paper Centroid Clustering was used to find the relationship between concepts. A concept hierarchy was developed which can be used for simplifying and understanding accounting system in a better manner; it shall be an excellent learning tool for students, for reusing the tacit knowledge , Therefore improve the performance of poor students, and shall support the machine communication for building concise relationships in Ontology domain over internet technology. This technique can be used for building Ontology in other domain as well. As well as the developed technique could be adapted to develop a visual course selector. The obtained result shows that the concept hierarchy cluster technique is a reliable technique for establishing strong relationship between concepts.
An adaptive domain pool scheme for fractal image compression is proposed in this paper. This scheme adaptively selects domain pool for each range block based on the rangeâ€™s location, so there is a more effective and smaller domain library for each range. This technique resultsÂ inÂ theÂ decrease of the computational load and the bits needed to store the domain location. The experimental results on standard images show that the proposed method yields a far better rate-distortion performance and has a far lower computational load. And finally we also perform the comparison of this method against the block partition (domain pool scheme) method.Â