Managing source schema evolution in web warehouses

Abstract

Abstract

Ontology‐based Multi‐agent System to Support Business Users and Management / Daugiaagentine Sistema Grindžiama Ontologija Verslo Vartotojams Ir Vadybininkams Paremti

“…The use of ontologies was found useful as a common interpretation basis for data and metadata. Furthermore research has extended to Web DW (Marotta, et al 2002) with the emphasis on managing the volatile and dynamic nature of Web sources. Utilization of ontologies is also addressed in Information Retrieval (IR) where it has been used for fuzzy tagging of data from the Web (Buche, et al 2006, Macias andCastells 2007), query construction tool in semi-automatic ontology mapping (Suomela and Kekalainen 2006) and semantic based retrieval of information from the World Wide Web (Shan et al 2003;Garces et al 2006).…”

Web warehouse – a new web information fusion tool for web mining

“…For web warehouse management, the trace is a valuable tool for obtaining the mapping between the sources and web warehouse schema elements. This mapping is necessary at least for solving the following three problems in web warehouse management: (1) error detecting, (2) source schema evolution, and (3) data loading processes [8].…”

“…In a sense, the information collected from the web must be incorporated into the data warehouse (which in this case will be more properly called web warehouse [6]) for business decision-makings [7]. Furthermore, in order to support high-level decision-making, users need to comprehensively utilize and analyze the data from various sources [8]. This also motivates the creation of web warehouses, which are data warehouses that contain consolidated data obtained from web sources [9,10].…”

“…Hammer et al [2] and Victorino [19] only focused on information extraction problem while Barzilay [20] and Wache et al [21] only presented the information integration problem in the web environment. Although some studies (e.g., [8,13]) pointed out that a web warehouse can be built based on XML format, the HTML format still dominates the web world. The distinct evidence is that large volumes of web data are presented in HTML format rather than XML even if XML will become a standard for the exchange of semi-structured data in the near future.…”

A quality aware service-oriented web warehouse platform

“…Consequently, Web Warehouses (WW), Data Warehouses (DW) which consolidate data from the Web [7,11], have become a valuable tool for decision making in many areas. However, given the dynamic and autonomous nature of Web Data Sources (WDSs) [2], the process of building a WW presents major challenges.…”