Semantic-based Keyword Search System over Relational Database
نویسندگان
چکیده
منابع مشابه
DBXplorer: A System for Keyword-Based Search over Relational Databases
Internet search engines have popularized the keywordbased search paradigm. While traditional database management systems offer powerful query languages, they do not allow keyword-based search. In this paper, we discuss DBXplorer, a system that enables keywordbased search in relational databases. DBXplorer has been implemented using a commercial relational database and web server and allows user...
متن کاملResults Clustering for Keyword Search over Relational Database
Keyword Search over Relational Database (KSORD) has been a hot research topic in the field of the database. The existing prototype systems present the results to user in a linear list. The user has to browse individually. Therefore, it is still very difficult to find the information users really need. To solve this problem, this study is carried out on results clustering for Keyword Search over...
متن کاملA Semantic Approach to Keyword Search over Relational Databases
Research in relational keyword search has been focused on the efficient computation of results as well as strategies to rank and output the most relevant ones. However, the challenge to retrieve the intended results remains. Existing relational keyword search techniques suffer from the problem of returning overwhelming number of results, many of which may not be useful. In this work, we adopt a...
متن کاملKeyword-Based Search over Semantic Data
Enabling non-experts to publish structured or semantic data on the web is an important achievement of the social web and one of the primary goals of the social semantic web. Making this data easily accessible in turn has received only little attention. Querying in semantic wikis typically uses full text search for the textual content and a web query language for the annotations. This has two sh...
متن کاملTowards an Interactive Keyword Search over Relational
Keyword search over relational databases has been widely studied for the exploration of structured data in a userfriendly way. However, users typically have limited domain knowledge or are unable to precisely specify their search intention. Existing methods find the minimal units that contain all the query keywords, and largely ignore the interpretation of possible users’ search intentions. As ...
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ژورنال
عنوان ژورنال: Journal of the Korea Society of Computer and Information
سال: 2013
ISSN: 1598-849X
DOI: 10.9708/jksci.2013.18.12.091