XML Data Integration

2010 ◽  
pp. 333-360 ◽  
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.

XML Data Integration

2010 ◽  
pp. 308-332
Author(s):  
Huiping Cao ◽  
Yan Qi ◽  
K. Selçuk Candan ◽  
Maria Luisa Sapino
Keyword(s):  
Data Integration ◽  
Data Exchange ◽  
Markup Language ◽  
Schema Mapping ◽  
Xml Data ◽  
Xml Documents ◽  
Data Schema ◽  
Schema Extraction ◽  
Extensible Markup ◽  
Xml Data Integration

Many applications require exchange and integration of data from multiple, heterogeneous sources. eXtensible Markup Language (XML) is a standard developed to satisfy the convenient data exchange needs of these applications. However, XML by itself does not address the data integration requirements. This chapter discusses the challenges and techniques in XML Data Integration. It first presents a four step outline, illustrating the steps involved in the integration of XML data. This chapter, then, focuses on the first two of these steps: schema extraction and data/schema mapping. More specifically, schema extraction presents techniques to extract tree summaries, DTDs, or XML Schemas from XML documents. The discussion on data/schema mapping focuses on techniques for aligning XML data and schemas.

Analyzing Triggers in XML Data Integration Systems

2010 ◽  
Vol 4 (5) ◽  
pp. 38-45
Author(s):  
Jing Lu ◽  
Dunlu Peng ◽  
Huan Huo ◽  
Liping Gao ◽  
Xiaodong Zhu
Keyword(s):  
Data Integration ◽  
Xml Data ◽  
Xml Data Integration

Schema Matching Quality: Thesaurus as the Matcher

2014 ◽  
Vol 70 (5) ◽  
Author(s):  
Thabit Sabbah ◽  
Ali Selamat
Keyword(s):  
Information Retrieval ◽  
Data Integration ◽  
Query Processing ◽  
Data Warehousing ◽  
Schema Matching ◽  
Semantic Query ◽  
Integration Data ◽  
F Measure

Thesaurus is used in many Information Retrieval (IR) applications such as data integration, data warehousing, semantic query processing and classifiers. It was also utilized to solve the problem of schema matching. Considering the fact of existence of many thesauri for a certain area of knowledge, the quality of schema matching results when using different thesauri in the same field is not predictable. In this paper, we propose a methodology to study the performance of the thesaurus in solving schema matching. The paper also presents results of experiments using different thesauri. Precision, recall, F-measure, and similarity average were calculated to show that the quality of matching changed according to the used thesaurus.  

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