Recently, many semantic web search engines have been developed like Ontolook, Swoogle, etc which help in searching meaningful documents presented on semantic web. In contrast to this the commonly used approach is based on matching keywords extracted from the document which is known as lexical matching. But there exist the documents that contains same information but using different words i.e. o...

Software reuse improves productivity, quality, and maintainability of software products. Only few completed projects are achieved and documented. The method signatures in a completed project are stored in the Ontology and the source code components are stored in Hadoop Distributed File System (HDFS). Methods are needed for the new project can be extracted from the Ontology using Software Requir...

The complex and high interactions between terms in documents demonstrates vague and ambiguous meanings. There exist complicated associations within one web document and linking to the others. Most of these approaches perform similarity and feature section methods. There is need of complex document clustering and produced meaningful document. This paper proposed methodology is capable of handles...

indexing is a largely used technique in retrieval systems. It has as goal to extract and to represent the meaning of a document so that it can be found by the user. We can cite two types of indexing: manual indexing, and automatic indexing. The automatic indexing requires to use character and words recognition engines which work only over the texts of contemporary documents. In this paper, we p...

Inspection is a widely known technique to detect faults in requirements document. It helps manager by early detection and removal of faults. Much of the cost can be saved by detecting faults during the inspections of early software artifacts as compared to testing in later stages of development. Our research utilizes a Learning Style – LS concept (coined by psychologists that refer to individua...

Relevance Feedback (RF) is a technique allowing to enrich an initial query according to the user feedback. The goal is to express more precisily the user’s needs. Some open issues appear when considering semi-structured documents like XML. Most of the existing RF approaches are applied in the content of elements. We prpose a new approach that is able to extend the initial query by adding a gene...

Contextual ontology helps in the knowledge-full indexing of documents, providing semantic structure to the document. The named entity and the associated keywords can be a clue to the contextual sense of the documents in the corpus. The proposed technique for the information retrieval creates the ecology of ontology which stores the ontological representation of the crawled documents. Further, t...

Author profiling is a text classification technique, which is used to predict the profiles of unknown text by analyzing their writing styles. Author profiles are the characteristics of the authors like gender, age, nativity language, country and educational background. The existing approaches for Author Profiling suffered from problems like high dimensionality of features and fail to capture th...

Business card images are of multiple natures as these often contain graphics, pictures and texts of various fonts and sizes both in background and foreground. So, the conventional binarization techniques designed for document images can not be directly applied on mobile devices. In this paper, we have presented a fast binarization technique for camera captured business card images. A card image...

Focused crawler is a Web crawler that tries to download only pages that are relevant to a given topic of interest (Siemiński 2009, Almpanidis 2011). That is to say, it is necessary for focused crawler to calculate relevance between pages and specific topic (Rungsawang, 2005). Recently, the specific topic involving spatial information especially toponyms such as the topic about the Diaoyu Island...