Data visualization operators for a Whoweda
The effective representation and manipulation of web data is currently an active area of research in databases. In a data warehouse specially designed for web information, web information coupling provides the means to derive useful information from the WWW. Web information is materialized in the fo...
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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2000
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/158 https://doi.org/10.1093/comjnl/43.5.364 |
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| Institution: | Singapore Management University |
| Language: | English |
| Summary: | The effective representation and manipulation of web data is currently an active area of research in databases. In a data warehouse specially designed for web information, web information coupling provides the means to derive useful information from the WWW. Web information is materialized in the form of web tuples and stored in web tables. In this paper, we discuss web data visualization operators such as web nest, web unnest, web coalesce, web expand, web pack, web unpack and web sort in the context of our web warehousing system called Whoweda (Warehouse of Web Data) to provide users with the flexibility to view sets of web documents in perspectives which may be more meaningful. |
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