Keyword queries are those terms that users enter and use to retrieve documents that have all or any of those terms. They are the most familiar and popular method used by ordinary users to search data. Keyword queries are highly ambiguous. Keyword search querying has emerged as one of the most effective way for information discovery, especially over HTML documents in the World Wide Web. Because ...

Keyword search on encrypted data enables one to search keyword ciphertexts without compromising keyword security. We further investigate this problem and propose a novel variant, dubbed certificateless keyword search on encrypted data (CLKS). CLKS not only supports keyword search on encrypted data, but also brings promising features due to the certificateless cryptography. In contrast to the ce...

Cloud computing uses internet and central remote servers to maintain data and applications. This allows much more efficient computing by centralizing storage, memory, procession and bandwidth. The data is stored in off-premises and accessing this data through keyword search. Traditional keyword search was based on plaintext keyword search. But for protecting data privacy the sensitive data shou...

SUMMARY In this paper, a novel framework for extracting visual feature-based keyword relationships from an image database is proposed. From the characteristic that a set of relevant keywords tends to have common visual features, the keyword relationships in a target image database are extracted by using the following two steps. First, the relationship between each keyword and its corresponding ...

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 ...

In document search, documents are typically seen as a flat list of keywords. To deal with the syntactic interoperability, i.e., the use of different keywords to refer to the same real world entity, entity linkage has been used to replace keywords in the text with a unique identifier of the entity to which they are referring. Yet, the flat list of entities fails to capture the actual relationshi...

In this paper, we describe the keyword-based semantic search engine KOIOS++ which interprets the keywords and computes a set of SPARQL queries. The special feature of KOIOS++ is that it leverages not only the class hierarchy but also the property hierarchy. The algorithm and data structures of KOIOS++ are based on a well-established approach that we extended by minor adjustments of the data str...

An increasing number of RDF datasets are available on the Web. Querying RDF data requires the knowledge of a query language such as SPARQL; it also requires some information describing the content of these datasets. The goal of our work is to facilitate the interrogation of RDF datasets, and we present an approach for enabling users to search in RDF data using keywords. We propose the notion of...

The ObjectRank system applies authority-based ranking to keyword search in databases modeled as labeled graphs. Conceptually, authority originates at the nodes (objects) containing the keywords and flows to objects according to their semantic connections. Each node is ranked according to its authority with respect to the particular keywords. One can adjust the weight of global importance, the w...

As Cloud Computing becomes prevalent, more and more sensitive information are being centralized into the cloud. Although traditional searchable encryption schemes allow a user to securely search over encrypted data through keywords and selectively retrieve files of interest, these techniques support only exact keyword search. In this paper, for the first time we formalize and solve the problem ...