Searching top k multi keywords from the out sourced data files is still an interesting research issue because out sourced data over cloud can be encrypted for confidentiality .In this paper we are proposing an efficient top k retrieval from out sourced file through service oriented application by computing the file relevance score for input multi keywords and symmetric key encryption and every ...

This paper introduces a hierarchical process for propagating image annotations throughout a partially labelled database. Long-term learning, where users’ query and browsing patterns are retained over multiple sessions, is used to guide the propagation of keywords onto image regions based on low-level feature distances. We demonstrate how singular value decomposition (SVD), normally used with la...

On the Semantic Web, the types of resources and the semantic relationships between resources are defined in an ontology. By using that information, the accuracy of information retrieval can be improved. In this paper, we present effective ranking and search techniques considering the semantic relationships in an ontology. Our technique retrieves top-k resources which are the most relevant to qu...

Keyword search is the primary way for ordinary users to access the Web content. It is essentially a syntax match between users’ key-ins and the index structure of information systems with a relevance-ranking way to sort the hitted documents. The syntax match can rarely satisfy users’ information need when the keywords and index are not syntically similar while share a lot semantically. This pap...

One of the functionalities developed within the LT4eL project is the possibility to annotate learning objects semi-automatically with keywords that describe them. To this end, a keyword extractor has been created which can deal with documents in 8 languages. The approach employed is based on a linguistic processing step which is followed by a filtering step of candidate keywords and their subse...

In Content-based Image Retrieval (CBIR) systems, accurately ranking images is of great relevance, since users are interested in the returned images placed at the first positions, which usually are the most relevant ones. In general, CBIR systems consider only pairwise image analysis, that is, compute similarity measures considering only pairs of images, ignoring the rich information encoded in ...

In general, search engines are the most popular means of searching any kind of information from the Internet. Generally, keywords are given to the search engine and the Web database returns the documents containing specified keywords. In many situations, irrelevant results are given as results to the user query since different keywords are used in different forms in various documents. The devel...

During the past decade, the World Wide Web became the most popular network in the World. WWW grows with a very fast speed, thus the information that can be found through it is huge. In the early 90s, the first search engines for the WWW appeared. The user could give some keywords and the system returned a number of URLs (uniform resource locators) that contained the keywords. The order of the U...