Massive heterogeneous XML data sources emerge on the Internet nowadays. These data sources are generally autonomous and provide search interfaces of XML query language such as XPath or XQuery. Accordingly, users need to learn complex syntaxes and know the schemas. Keyword Search is a user-friendly information discovery technique, which can assist users in obtaining useful information convenient...

In this paper, we study novel Tree + IDREF data model for keyword search in XML. In this model, we propose novel Lowest Referred Ancestor (LRA) pair, Extended LRA (ELRA) pair and ELRA group semantics for effective and efficient keyword search. We develop efficient algorithms to compute the search results based on our semantics. Experimental study shows the superiority of our approach.

The Public Key Encryption along with Keyword Search allows one to search the data that is in encrypted form with a keyword without showing any information. This paper gives the detail study on searchable Public-Key Ciphertexts with Hidden Structures (SPCHS) that fastenthe keyword search without sacrificing the security of encrypted keywords. In SPCHS, the keyword ciphertexts is structured by hi...

The use of Ontologies to overcome the limitations of keyword-based search has been put forward as one of the motivations of the Semantic IR. We propose a model, which includes an ontology-based scheme for the automatic annotation of Tamil documents and a retrieval system. The retrieval model is based on an adaptation of the classic vector-space model, including an annotation weighting algorithm...

Keyword search is a natural and user-friendly mechanism for querying XML data in information systems and Web based applications. One of the key tasks is to identify and return meaningful fragments as results, due to the limited expressiveness and the ambiguity of keyword queries. In this paper, we first studied query keyword patterns in order to exploit the user’s search intention behind the in...

As cloud computing becomes prevalent, more and more sensitive information are being centralized into the cloud. For the protection of data privacy, sensitive data usually have to be encrypted before outsourcing, which makes effective data utilization a very challenging task. In this paper, we propose a new method to enable effective fuzzy keyword search in a multi-user system over encrypted clo...

Users who are unfamiliar with database query languages can search XML data sets using keyword queries. Previous work has shown that current XML keyword search methods, although intuitive, do not effectively use the data’s structural information and provide poor precision, recall, and ranking for most queries. Based on an extension of the concept of information theory, we have developed principl...

AGGREGO SEARCH offers a novel keyword-based query solution for end users in order to retrieve precise answers from semantic data sources. Contrary to existing approaches, AGGREGO SEARCH suggests grammatical connectors from natural languages during the query formulation step in order to specify the meaning of each keyword, thus leading to a complete and explicit definition of the intent of the s...

The public key encryption with keyword search (PEKS) provides a way for users to search data which are encrypted under the users’ public key on a storage system. However, the original schemes are based on the unrealistic assumption of a secure channel between the receiver and the server. Baek et al. [1] first proposed a secure channel-free public key encryption with keyword search (SCF-PEKS) to...

In recent years, cloud computing has become an advanced area, particularly due to its potential merits and applications. Also CBIR has become the active research topic in the area of computer science in past few years. In order to realize the cloud computing, many constraints are associated out of which multi-keyword search and privacy preserving are one of them. To enhance the use of data util...