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With the rapid growth in digital content and user's needs, the complexity of ranking mechanism utilized in digital libraries is increasing. Ranking plays a vital role in digital libraries to rank publications or scientific literature so that researchers can easily explore the search results list and find the desired content against the query. In this paper, a page ranking algorithm called BCC (Bookmark...
Web documents are growing exponentially and the results retrieved by traditional search engines are marked by irrelevant and inconsistent results. In order to alleviate this problem and increase degree of relevance, there is need to move towards development of semantic search engines. Such engines produce results by focusing on meaning of context rather than structure of content. The paper describes...
Folksonomy allows user to tag resources independent of vocabulary and is being widely used in social web systems. But these vocabularies have some limitations like ambiguity, variation between tags and many more. Tag based ontologies are developed to overcome such issues. This paper focuses on eliminating limitations of folksonomies and extracting semantic relationship between tags to develop ontologies...
A large growth of web uses on the Internet causes latency perceived by the user. Prefetching is a good solution to this problem. Web page content provides the meaningful data to predict the coming requests in future. This paper presents a semantic prefetching technique which uses the content of the web page. The proposed technique works on the semantic preferences of the anchor text associated with...
Social web is growing enormously as it made easy for people to publish online. Published information should be semantically annotated and structured so as to be useful for information sharing. Semantic Web annotates data syntactically as well as semantically thus making it in machine understandable format. So, these two aspects can be aggregated to form social semantic web. This paper proposed social...
Ontology represents explicit specification of knowledge in a specific domain of interest in the form of concepts and relations among them. This paper represents a Human Family Tree Ontology that is designed in two main stages. The first stage covers the domain of the human biological family tree that includes personal information of each person such as name, address, phone number, date of birth etc...
The purpose of finding the Semantic Similarity is to find a degree of match between the aspects which are conceptually similar but not lexically. It is an important issue in the field of web information retrieval which requires retrieving a set of documents that are semantically related to a given query posed by the user. For the efficient information retrieval from the web that involves the collection...
To retrieve semantically related documents with the query submitted by the user has always become a challenging task. An efficient assessment of semantic similarity is of critical importance in the area of information retrieval and web mining so as to associate the query with its associated documents. However their cannot be any accurate measure for semantic similarity as its domain is spread not...
Spatial data clustering groups similar objects based on their distance, connectivity, or their relative density in space whereas in the real world, there exist many physical constraints e.g. highways, rivers, hills etc. that may affect the result of clustering. Therefore, these obstacles when taken into consideration render the cluster analysis a hopelessly slow exercise. In this paper, a clustering...
With the exponential growth of academic digital libraries, ranking has become an extremely challenging task. When a researcher tries to retrieve relevant scientific literature, or perform a literature review based upon which to build their research, then ranking of search results of a user query plays an important role. Ranking provides an order so that users can easily navigate through the search...
Search engines generally return a large number of pages in response to user queries. To assist the users to navigate in the result list, ranking methods are applied on the search results. Most of the ranking algorithms proposed in the literature are either link or content oriented, which do not consider user usage trends. In this paper, a page ranking mechanism called Page Ranking based on Visits...
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