抽象的な

Design and Development of Efficient Content Independent Genealogy

Rahul S. Dudhabaware, Mangala S. Madankar

Whenever researchers go for a literature review for a new topic which is unfamiliar to them, they want to collect all relevant documents which influence the topic most, but while doing all these they need to collect huge number of papers, which makes them difficult to study each and every paper. To solve these problems, this paper proposed Design which focused on, how to find out relevant papers with respect to query, Discrimination of survey paper and Implementation paper, and creation of their genealogy. First it will find out all relevant matching papers with respect to keywords given in query which is preprocessed earlier, again there is a provision for a user to discriminate survey and implementation paper, and then it will create genealogy of those paper, by making association or interlinking among all matching documents on the basis of references of each paper have. This Genealogy will help user to get a quick look at, which papers are relevant for our topic of research, and association among them, so that user will focus on those documents only for literature review problem and not straying us on less important or unwanted documents.