Web Data Management: A Warehouse Approach
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 efficient...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
2004
|
| Ausgabe: | 1st ed. 2004 |
| Schriftenreihe: | Springer Professional Computing
|
| Schlagworte: | |
| Online-Zugang: | UBY01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (XXI, 465 p. 35 illus) |
| ISBN: | 9780387217819 |
| DOI: | 10.1007/b97475 |
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| 520 | |a 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. | ||
| 520 | |a 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. | ||
| 520 | |a 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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Datensatz im Suchindex
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| author | Bhowmick, Sourav S. Madria, Sanjay K. Ng, Wee K. |
| author_facet | Bhowmick, Sourav S. Madria, Sanjay K. Ng, Wee K. |
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| dewey-full | 005.74 |
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| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1007/b97475 |
| edition | 1st ed. 2004 |
| format | Electronic eBook |
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| id | DE-604.BV047064500 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:12:22Z |
| indexdate | 2024-07-10T09:01:35Z |
| institution | BVB |
| isbn | 9780387217819 |
| language | English |
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| spelling | Bhowmick, Sourav S. Verfasser aut Web Data Management A Warehouse Approach by Sourav S. Bhowmick, Sanjay K. Madria, Wee K. Ng 1st ed. 2004 New York, NY Springer New York 2004 1 Online-Ressource (XXI, 465 p. 35 illus) txt rdacontent c rdamedia cr rdacarrier Springer Professional Computing 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 Database Management Information Systems and Communication Service Information Storage and Retrieval Multimedia Information Systems Database management Computers Information storage and retrieval Multimedia information systems Data-Warehouse-Konzept (DE-588)4406462-7 gnd rswk-swf Datenbanksystem (DE-588)4113276-2 gnd rswk-swf World Wide Web (DE-588)4363898-3 gnd rswk-swf Datenbanksystem (DE-588)4113276-2 s World Wide Web (DE-588)4363898-3 s Data-Warehouse-Konzept (DE-588)4406462-7 s DE-604 Madria, Sanjay K. aut Ng, Wee K. aut Erscheint auch als Druck-Ausgabe 9781441918062 Erscheint auch als Druck-Ausgabe 9780387001753 Erscheint auch als Druck-Ausgabe 9781475781069 https://doi.org/10.1007/b97475 Verlag URL des Eerstveröffentlichers Volltext |
| spellingShingle | Bhowmick, Sourav S. Madria, Sanjay K. Ng, Wee K. Web Data Management A Warehouse Approach Database Management Information Systems and Communication Service Information Storage and Retrieval Multimedia Information Systems Database management Computers Information storage and retrieval Multimedia information systems Data-Warehouse-Konzept (DE-588)4406462-7 gnd Datenbanksystem (DE-588)4113276-2 gnd World Wide Web (DE-588)4363898-3 gnd |
| subject_GND | (DE-588)4406462-7 (DE-588)4113276-2 (DE-588)4363898-3 |
| title | Web Data Management A Warehouse Approach |
| title_auth | Web Data Management A Warehouse Approach |
| title_exact_search | Web Data Management A Warehouse Approach |
| title_exact_search_txtP | Web Data Management A Warehouse Approach |
| title_full | Web Data Management A Warehouse Approach by Sourav S. Bhowmick, Sanjay K. Madria, Wee K. Ng |
| title_fullStr | Web Data Management A Warehouse Approach by Sourav S. Bhowmick, Sanjay K. Madria, Wee K. Ng |
| title_full_unstemmed | Web Data Management A Warehouse Approach by Sourav S. Bhowmick, Sanjay K. Madria, Wee K. Ng |
| title_short | Web Data Management |
| title_sort | web data management a warehouse approach |
| title_sub | A Warehouse Approach |
| topic | Database Management Information Systems and Communication Service Information Storage and Retrieval Multimedia Information Systems Database management Computers Information storage and retrieval Multimedia information systems Data-Warehouse-Konzept (DE-588)4406462-7 gnd Datenbanksystem (DE-588)4113276-2 gnd World Wide Web (DE-588)4363898-3 gnd |
| topic_facet | Database Management Information Systems and Communication Service Information Storage and Retrieval Multimedia Information Systems Database management Computers Information storage and retrieval Multimedia information systems Data-Warehouse-Konzept Datenbanksystem World Wide Web |
| url | https://doi.org/10.1007/b97475 |
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