Web Data Management: A Warehouse Approach [Paperback]

Existence of huge amounts of data on the Web has developed anundeferring need to locate right information at right time, as well asto integrating information effectively to provide a comprehensivesource of relevant information.There is a need to develop efficient tools for analyzing and managingWeb data, and efficiently managing Web information from the databaseperspective. The book proposes a data model called WHOM (WarehouseObject Model) to represent HTML and XML documents in the warehouse. Itdefines a set of web algebraic operators for building new web tablesby extracting relevant data from the Web, as well as generating newtables from existing ones. These algebraic operators are used forchange detection.Existence of huge amounts of data on the Web has developed anundeferring need to locate right information at right time, as well asto integrating information effectively to provide a comprehensivesource of relevant information.There is a need to develop efficient tools for analyzing and managingWeb data, and efficiently managing Web information from the databaseperspective. The book proposes a data model called WHOM (WarehouseObject Model) to represent HTML and XML documents in the warehouse. Itdefines a set of web algebraic operators for building new web tablesby extracting relevant data from the Web, as well as generating newtables from existing ones. These algebraic operators are used forchange detection.* Introduction * Survey of Web data-management systems * Node and link objects * Predicate on node and link objects * Imposing constraints on hyperlink structure * Query mechanism for the Web * Schemas for warehouse data * WHOM-algebra * Applications of Web warehouses * Concluding remarks * Index

 

The existence of huge data volume on the Web has fueled an unrelenting need to locate right information at right time, as well as to effectively develop an integrated, comprehensive information source. This calls for tools for lĂ#