Web data management: a Warehouse approach
Bhowmick, Sourav S.
Madria, Sanjay K.
Ng, Wee K.
Existence of huge amounts of data on the Web has developed an .undeferring need to locate right information at right time, as well as .to integrating information effectively to provide a comprehensive .source of relevant information.There is a need to develop efficient tools for analyzing and managing .Web data, and efficiently managing Web information from the database .perspective. The book proposes a data model called WHOM (Warehouse .Object Model) to represent HTML and XML documents in the warehouse. It .defines a set of web algebraicoperators for building new web tables .by extracting relevant data from the Web, as well as generating new .tables from existing ones. These algebraic operators are used for .change detection. INDICE: * 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
- ISBN: 978-1-4419-1806-2
- Editorial: Springer
- Encuadernacion: Rústica
- Fecha Publicación: 14/03/2012
- Nº Volúmenes: 1
- Idioma: Inglés