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...

Conventional keyword search engines are restricted to a given data model and cannot easily adapt to unstructured, semi-structured or structured data. In this paper, we propose an efficient and adaptive keyword search method, called EASE, for indexing and querying large collections of heterogeneous data. To achieve high efficiency in processing keyword queries, we first model unstructured, semi-...

In this paper, we propose a keyword spotting system for Korean document images and compare the proposed system with an OCR-based document retrieval system. The system is composed of character segmentation, feature extraction for the query keyword, and word-to-word matching. In the character segmentation step, we propose an effective method to resolve the connection between adjacent characters. ...

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...

This paper presents and discusses keyword spotting methods for searching in speech. In contrast with searching in text, the searching in speech or generally in multimedia data still represents a challenge. The aim of the paper is to present a keyword spotting (KWS) method based on a large vocabulary continuous speech recognition (LVCSR) system, based on phonetics decoder, and keyword spotting u...

Periodically researchers examine the maturity of their research fields against a set of maturity criteria including the types of theories and methods used within the field. Keyword metadata was used to locate relevant research articles, which were manually read, summarised, and compared against field maturity criteria. This study used data extracted from three academic databases to examine the ...

Nowadays, XML is becoming the standard for electronic information representation and exchange in our lives. Access to information presented in hyperlinked XML documents and other formats have always been in demand by users. In this paper, we describe the architecture, implementation, and evaluation of the P-RANK system built to address the requirement for efficient ranked keyword search over hy...

In recent years, there has been a significant interest in enabling keyword search capability, which is un-structured querying, for relational databases. Existing approaches return a set of tuples joined together as a retrieval unit. However, the joined tuples possibly involve data of the irrelevant or lessinteresting attributes for query keywords when the keywords are matched in multiple relati...

We propose a new method of extracting texts related to a given keyword from Web pages collected by a search engine. By combining structural pattern matching and text classification, texts related to a given keyword such as reputations of a given restaurant can be extracted automatically from Web pages in unfixed sites, which is impossible by conventional wrappers. According to our cross validat...