Over years the searches made over web still remains non semantic. The internet media is filled with lot of unstructured data that results this state of non semantic search over web. To make the search more specific over the query given, its attributes are to be defined while the search along with its object name. By defining so the normal web search appears to be semantic. The attributes relevant to the context is made easy over text, audio and video files. Whereas Image files still suffers with its undefined attributes along with the relevant image being uploaded. Moreover the images over web aren"t tagged yet with relevant attributes in them. JPEG, Bitmap and all other commonly used image supporters yet remain without tags. Only this leads a non semantic search over images on web.
The semantic web is a second generation of the Web and is a vision of information that is understandable by computers. The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries. Ontologies are used to define the concepts in the domain of discourse and their relationships and as such provide the formal vocabulary applications use to exchange data. Besides the Web, the technologies developed for the Semantic Web have proven to be useful also in other domains, especially when data is exchanged between applications from different parties. The software engineering community has developed various tools to support the specification, development, and maintenance of software. Many of these tools use proprietary data formats to store artifacts which hamper interoperability. Software engineering is one of these domains in which recent research shows that Semantic Web technologies are able to reduce the barriers of proprietary data formats and enable interoperability. In this paper, we present Semantic Web technologies and their application in software engineering or ontologies developed for software engineering, review the current efforts on applying the Semantic Web techniques on different software engineering aspects, and present the benefits of their applications. We discuss the current status of ontologies for software entities, bug reports, or change requests, as well as semantic representations for software and its documentation. This way, architecture, design, code, or test models can be shared across application boundaries enabling a seamless integration of engineering results.
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