XML-OLAP: A Multidimensional Analysis Framework for XML Warehouses

Park, Byung-Kwon; Han, Hugang; Song, Il‐Yeol

doi:10.1007/11546849_4

Cited by 59 publications

(61 citation statements)

References 8 publications

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“…An XML warehouse is then composed of documents representing facts and dimensions (Pokorný, 2001;Hümmer et al, 2003;Park et al, 2005). A methodological effort has also been made to cover processes such as data cleaning, summarization, intermediating XML documents, updating/linking existing documents and creating fact tables (Rusu et al, 2005), or to represent user analysis needs and match them with source data .…”

Section: Related Work: Xml Data Warehousing and Olapmentioning

confidence: 99%

Innovative Approaches for Efficiently Warehousing Complex Data from the Web

Bentayeb

Maiz

Mahboubi³

et al. 2013

Data Mining

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Research in data warehousing and OLAP has produced important technologies for the design, management and use of information systems for decision support. With the development of Internet, the availability of various types of data has increased. Thus, users require applications to help them obtaining knowledge from the Web. One possible solution to facilitate this task is to extract information from the Web, transform and load it to a Web Warehouse, which provides uniform access methods for automatic processing of the data. In this chapter, we present three innovative researches recently introduced to extend the capabilities of decision support systems, namely (1) the use of XML as a logical and physical model for complex data warehouses, (2) associating data mining to OLAP to allow elaborated analysis tasks for complex data and (3) schema evolution in complex data warehouses for personalized analyses. Our contributions cover the main phases of the data warehouse design process: data integration and modeling and user driven-OLAP analysis.

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Section: Related Work: Xml Data Warehousing and Olapmentioning

confidence: 99%

Innovative Approaches for Efficiently Warehousing Complex Data from the Web

Bentayeb

Maiz

Mahboubi³

et al. 2013

Data Mining

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“…They use XML documents to manage or represent the facts and/or dimensions of the warehouse (Hummer et al, 2003;Park et al, 2005;Pokorný, 2002). We select XCube (Hummer et al, 2003) as a reference data warehouse model.…”

Section: Proposed Solutions 521 Reference Xml Data Warehousementioning

confidence: 99%

“…There is indeed a clear trend towards online data warehousing, which will give way to new approaches such as virtual warehousing (Belanger et al, 1999) or eXtensible Markup Language (XML) warehousing (Baril and Bellahsène, 2003;Hummer et al, 2003;Nassis et al, 2005;Park et al, 2005;Pokorný, 2002;Vrdoljak et al, 2005;Zhang et al, 2005). Data from the web are not only numerical or symbolic, but may be:…”

Section: Introductionmentioning

confidence: 99%

Warehousing complex data from the web

Boussaïd

Darmont

Bentayeb

et al. 2008

IJWET

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Data warehousing and Online Analytical Processing (OLAP) technologies are now moving onto handling complex data that mostly originate from the web. However, integrating such data into a decision-support process requires their representation in a form processable by OLAP and/or data mining techniques.We present in this paper a complex data warehousing methodology that exploits eXtensible Markup Language (XML) as a pivot language. Our approach includes the integration of complex data in an ODS, in the form of XML documents; their dimensional modelling and storage in an XML data warehouse; and their analysis with combined OLAP and data mining techniques. We also address the crucial issue of performance in XML warehouses.

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“…A recent paper [12] provides mechanisms to perform special text aggregations on the contents of XML documents, e.g., getting the number of words of a document section, its most frequent keywords, a summary, etc. Although these text-mining operations are very useful to explore an XML document collection, these techniques cannot be applied to evaluate OLAP operations on the factual information described by the textual contents of the documents.…”

Section: Related Workmentioning

confidence: 99%

“…Although these text-mining operations are very useful to explore an XML document collection, these techniques cannot be applied to evaluate OLAP operations on the factual information described by the textual contents of the documents. Our approach differs from [12] in the sense that we do not analyze the documents textual contents themselves, we extract the dimension values from the documents contents and relate the documents with those corporate facts characterized by the same dimension values. Afterwards, we analyze the corporate data by using the documents as their context.…”

Section: Related Workmentioning

confidence: 99%

A relevance-extended multi-dimensional model for a data warehouse contextualized with documents

Pérez

Berlanga

Aramburu

et al. 2005

Proceedings of the 8th ACM International Workshop on Data Warehousing and OLAP

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Current data warehouse and OLAP technologies can be applied to analyze the structured data that companies store in their databases. The circumstances that describe the context associated with these data can be found in other internal and external sources of documents. In this paper we propose to combine the traditional corporate data warehouse with a document warehouse, resulting in a contextualized warehouse. Thus, contextualized warehouses keep a historical record of the facts and their contexts as described by the documents. In this framework, the user selects an analysis context which is represented as a novel type of OLAP cube, here called R-cube. R-cubes are characterized by two special dimensions, namely: the relevance and the context dimensions. The first dimension measures the relevance of each fact in the selected analysis context, whereas the second one relates each fact with the documents that explain their circumstances. In this work we extend an existing multi-dimensional data model and algebra for representing the R-cubes.

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XML-OLAP: A Multidimensional Analysis Framework for XML Warehouses

Cited by 59 publications

References 8 publications

Innovative Approaches for Efficiently Warehousing Complex Data from the Web

Innovative Approaches for Efficiently Warehousing Complex Data from the Web

Warehousing complex data from the web

A relevance-extended multi-dimensional model for a data warehouse contextualized with documents

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