MapReduce Implementation of an Improved Xml Keyword Search Algorithm

XML based Keyword Search

The success of information retrieval style keyword search on the web leads to the emergence of XML based keyword search. The text database and XML database differences leads to three new challenges: 1) The users search intention is to be identified, i. e. , the XML node types that user wants to search for and search via is identified. 2) The similarities in tag name, tag value and the structure...

An Effective Object-Level XML Keyword Search

Keyword search is widely recognized as a convenient way to retrieve information from XML data. In order to precisely meet users’ search concerns, we study how to effectively return the targets that users intend to search for. We model XML document as a set of interconnected object-trees, where each object contains a subtree to represent a concept in the real world. Based on this model, we propo...

Distributed Keyword Search over RDF via MapReduce

Non expert users need support to access linked data available on the Web. To this aim, keyword-based search is considered an essential feature of database systems. The distributed nature of the Semantic Web demands query processing techniques to evolve towards a scenario where data is scattered on distributed data stores. Existing approaches to keyword search cannot guarantee scalability in a d...

Keyword Search on XML Data

Keyword Search on XML Streams

XPath&XQuery query processing on XML streams has become the hot topic and attracted many researchers’ attention. However, due to the relatively complex query language of XPath&XQuery , it is hard for users to get interesting data fragments via existing query interface without the prior knowledge of the schema information. As a result, it is becoming an impending issue to address the problem to ...