Towards Integrated Query Processing for Object-Relational and XML Data Sources

In order to solve the problem of storage and query for massive XML data, a method of efficient storage and parallel query for a massive volume of XML data with Hadoop is proposed. This method can store massive XML data in Hadoop and the massive XML data is divided into many XML data blocks and loaded on HDFS. The parallel query method of massive XML data is proposed, which uses parallel XPath queries based on multiple predicate selection, and the results of parallel query can satisfy the requirement of query given by the user. In this chapter, the map logic algorithm and the reduce logic algorithm based on parallel XPath queries based using MapReduce programming model are proposed, and the parallel query processing of massive XML data is realized. In addition, the method of MapReduce query optimization based on multiple predicate selection is proposed to reduce the data transfer volume of the system and improve the performance of the system. Finally, the effectiveness of the proposed method is verified by experiment.

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Web Retrieval of XML Documents

Web-Enabled Systems Integration ◽

10.4018/978-1-59140-041-7.ch009 ◽

2011 ◽

pp. 170-199

Author(s):

Barbara Catania ◽

Elena Ferrari

Keyword(s):

Expressive Power ◽

Data Representation ◽

Query Languages ◽

Heterogeneous Data ◽

Data Sources ◽

Xml Data ◽

Web Documents ◽

Web Retrieval ◽

Heterogeneous Data Sources ◽

The Web

Web is characterized by a huge amount of very heterogeneous data sources, that differ both in media support and format representation. In this scenario, there is the need of an integrating approach for querying heterogeneous Web documents. To this purpose, XML can play an important role since it is becoming a standard for data representation and exchange over the Web. Due to its flexibility, XML is currently being used as an interface language over the Web, by which (part of) document sources are represented and exported. Under this assumption, the problem of querying heterogeneous sources can be reduced to the problem of querying XML data sources. In this chapter, we first survey the most relevant query languages for XML data proposed both by the scientific community and by standardization committees, e.g., W3C, mainly focusing on their expressive power. Then, we investigate how typical Information Retrieval concepts, such as ranking, similarity-based search, and profile-based search, can be applied to XML query languages. Commercial products based on the considered approaches are then briefly surveyed. Finally, we conclude the chapter by providing an overview of the most promising research trends in the fields.

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Web Services as XML Data Sources in Enterprise Information Integration

Enterprise Information Systems ◽

10.4018/978-1-61692-852-0.ch405 ◽

2011 ◽

pp. 972-985

Author(s):

Ákos Hajnal ◽

Tamás Kifor ◽

Gergely Lukácsy ◽

László Z. Varga

Keyword(s):

Web Services ◽

Web Service ◽

Information Integration ◽

Digital Libraries ◽

Relational Databases ◽

Query Language ◽

Data Sources ◽

Enterprise Information ◽

Xml Data ◽

The Web

More and more systems provide data through web service interfaces and these data have to be integrated with the legacy relational databases of the enterprise. The integration is usually done with enterprise information integration systems which provide a uniform query language to all information sources, therefore the XML data sources of Web services having a procedural access interface have to be matched with relational data sources having a database interface. In this chapter the authors provide a solution to this problem by describing the Web service wrapper component of the SINTAGMA Enterprise Information Integration system. They demonstrate Web services as XML data sources in enterprise information integration by showing how the web service wrapper component integrates XML data of Web services in the application domain of digital libraries.

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XML Data Integration

Advanced Applications and Structures in XML Processing ◽

10.4018/978-1-61520-727-5.ch015 ◽

2010 ◽

pp. 333-360 ◽

Cited By ~ 1

Author(s):

Yan Qi ◽

Huiping Cao ◽

K. Selçuk Candan ◽

Maria Luisa Sapino

Keyword(s):

Data Integration ◽

Query Processing ◽

Multiple Sources ◽

Data Types ◽

Xml Data ◽

Data Schema ◽

Integration Data ◽

Feedback Techniques ◽

Different Sources ◽

Xml Data Integration

In XML Data Integration, data/metadata merging and query processing are indispensable. Specifically, merging integrates multiple disparate (heterogeneous and autonomous) input data sources together for further usage, while query processing is one main reason why the data need to be integrated in the first place. Besides, when supported with appropriate user feedback techniques, queries can also provide contexts in which conflicts among the input sources can be interpreted and resolved. The flexibility of XML structure provides opportunities for alleviating some of the difficulties that other less flexible data types face in the presence of uncertainty; yet, this flexibility also introduces new challenges in merging multiple sources and query processing over integrated data. In this chapter, the authors discuss two alternative ways XML data/schema can be integrated: conflict-eliminating (where the result is cleaned from any conflicts that the different sources might have with each other) and conflict-preserving (where the resulting XML data or XML schema captures the alternative interpretations of the data). They also present techniques for query processing over integrated, possibly imprecise, XML data, and cover strategies that can be used for resolving underlying conflicts.

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XML Data Management in Object Relational Database Systems

Advanced Applications and Structures in XML Processing ◽

10.4018/978-1-61520-727-5.ch002 ◽

2010 ◽

pp. 18-46

Author(s):

Zhen Hua Liu ◽

Anguel Novoselsky ◽

Vikas Arora

Keyword(s):

Data Management ◽

Research Work ◽

Database Systems ◽

Xml Data ◽

Significant Research ◽

Object Relational ◽

Pros And Cons ◽

Relational Database Systems ◽

Xml Indexing ◽

Xml Data Management

Since the advent of XML, there has been significant research into integrating XML data management with Relational DBMS and Object Relational DBMS (ORDBMS). This chapter describes the XML data management capabilities in ORDBMS, various design approaches and implementation techniques to support these capabilities, as well as the pros and cons of each design and implementation approach. Key topics such as XML storage, XML Indexing, XQuery and SQL/XML processing, are discussed in depth presenting both academic and industrial research work in these areas.

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