In this paper, we present a P2P-based database sharing system that provides information sharing capabilities through keyword-based search techniques. Our system requires neither a global schema nor schema mappings between different databases, and our keyword-based search algorithms are robust in the presence of frequent changes in the content and membership of peers. To facilitate data integrat...

To make judicious budget and resource allocation decisions, it is essential to understand the characteristics and performance of keywords used by target shoppers. Taking the approach of understanding consumers’ information needs, we construct a goal-related keyword characterization framework. Most search keywords exhibit more than one of the following characteristics retailer specific, brand sp...

Keyword Spotting is a well-known method in document image retrieval. In this method, Search in document images is based on query word image. In this Paper, an approach for document image retrieval based on keyword spotting has been proposed. In proposed method, a framework using relevance feedback is presented. Relevance feedback, an interactive and efficient method is used in this paper to imp...

mDNS is a proposed DNS-aware, hierarchical, and scalable multicast session directory architecture that enables multicast session registration and makes them discoverable in real time. It supports domain-specific as well as global searches for candidate sessions. This paper improves mDNS global search algorithm and addresses various security and scalability concerns that remained in mDNS. We pro...

In the cloud computing, attribute-based encryption and public key encryption with keyword search are two popular issues. Ciphertext-policy attribute-based encryption is famous for its fine-grained access control. Keyword Search over encrypted files is an important function in the actual situation. We particularly concern the problem of revocation. Additionally, several solutions of the dynamic ...

Proximity Keyword Search is especially useful when searching on the web and in long unstructured documents such as XML. This system is designed to handle novel features of Proximity Keyword Search in XML documents. It concentrates mainly on producing ranked results efficiently for keyword search queries over XML documents. The proposed system is first of its kind in which the keyword string is ...

As more and more ontologies are being published on the Semantic Web, selecting the most appropriate ontology will become an increasingly important subtask in Semantic Web applications. Here we present an approach towards ontology search in the context of OntoSelect, a dynamic web-based ontology library. In OntoSelect, ontologies can be searched by keyword or by document. In keyword-based search...