Web Data Management
- Indbinding:
- Hardback
- Sideantal:
- 465
- Udgivet:
- 7. november 2003
- Udgave:
- 2004
- Størrelse:
- 185x29x245 mm.
- Vægt:
- 983 g.
- Ukendt - mangler pt..
Normalpris
Abonnementspris
- Rabat på køb af fysiske bøger
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Web Data Management
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 efficiently analyzing and managing web data-and for efficiently managing web information from the database perspective.
This comprehensive resource presents a data model called WHOM (WareHouse Object Model) to represent HTML and XML documents in the warehouse. The book defines a set of web-algebraic operators for building new web tables by extracting relevant data from the Web, as well as generating new tables from existing ones. Its "web-warehouse approach" incorporates modern and effective shared web data-management concepts, methods, and models.
Features & Benefits:
*Presents a simple and generic data model for representing metadata, structure, and content of Web documents and hyperlinks
*Addresses schema-related issues for both HTML and XML data, with their associated challenges of irregularity and heterogeneity
*Describes a web algebra for manipulating warehoused data
*Utilizes numerous examples to illustrate various concepts of web data management and to simplify all key issues for readers
*Highlights change management and knowledge discovery, two important applications of a web warehouse
With its accessible style and emphasis on practicality, the book delivers an excellent survey of all current principles for structured, web-based data management technologies. Database management systems developers, enterprise website developers, and applied R&D researchers will find the work an essential companion for new concepts, development strategies, and application models.
Key Topics:
>>Node and link objects
>> Comparison predicates
>> Connectivities
>> Coupling-query formulation
>> Web schema
>> WHOM (WareHouse Object Model)
>> Schema generation and pruning
>> Data visualization
>> Web deltas & web bags
>> Knowledge-discovery applications
-- Databases / Information Systems
-- Beginning / Intermediate
This comprehensive resource presents a data model called WHOM (WareHouse Object Model) to represent HTML and XML documents in the warehouse. The book defines a set of web-algebraic operators for building new web tables by extracting relevant data from the Web, as well as generating new tables from existing ones. Its "web-warehouse approach" incorporates modern and effective shared web data-management concepts, methods, and models.
Features & Benefits:
*Presents a simple and generic data model for representing metadata, structure, and content of Web documents and hyperlinks
*Addresses schema-related issues for both HTML and XML data, with their associated challenges of irregularity and heterogeneity
*Describes a web algebra for manipulating warehoused data
*Utilizes numerous examples to illustrate various concepts of web data management and to simplify all key issues for readers
*Highlights change management and knowledge discovery, two important applications of a web warehouse
With its accessible style and emphasis on practicality, the book delivers an excellent survey of all current principles for structured, web-based data management technologies. Database management systems developers, enterprise website developers, and applied R&D researchers will find the work an essential companion for new concepts, development strategies, and application models.
Key Topics:
>>Node and link objects
>> Comparison predicates
>> Connectivities
>> Coupling-query formulation
>> Web schema
>> WHOM (WareHouse Object Model)
>> Schema generation and pruning
>> Data visualization
>> Web deltas & web bags
>> Knowledge-discovery applications
-- Databases / Information Systems
-- Beginning / Intermediate
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Bogen Web Data Management findes i følgende kategorier:
- Business og læring > Computer og IT
- Sprog og lingvistik
- Databehandling og informationsteknologi > Grafisk IT og digitale medier
- Databehandling og informationsteknologi > Computere og hardware > Netværkskomponenter
- Databehandling og informationsteknologi > Databaser > Data warehouse
- Databehandling og informationsteknologi > Databaser > Informationssøgning og informationsgenfinding
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