Building knowledge around complex objects using InforBright Data Warehousing technology
There are considerable challenges in analysing and reporting on word-based data. Infobright data warehousing technology was used to build knowledge around qualitative data that are subject to human interpretation. Infobright was chosen as a system for implementing the data set because its rough set...
| Main Authors: | , |
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| Format: | Journal Article |
| Published: |
SERSC (Science & Engineering Research Support Society
2010
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| Online Access: | http://www.sersc.org/journals/IJDTA/vol3_no2.php http://hdl.handle.net/20.500.11937/38998 |
| _version_ | 1848755471004991488 |
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| author | Johnson, J. Johnson, Genevieve |
| author_facet | Johnson, J. Johnson, Genevieve |
| author_sort | Johnson, J. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | There are considerable challenges in analysing and reporting on word-based data. Infobright data warehousing technology was used to build knowledge around qualitative data that are subject to human interpretation. Infobright was chosen as a system for implementing the data set because its rough set based intelligence appears to be extensible with moderate effort to implement the data warehousing requirements for automatic interpretation of word based data. An example of social sciences research data was used for illustration. |
| first_indexed | 2025-11-14T08:56:49Z |
| format | Journal Article |
| id | curtin-20.500.11937-38998 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:56:49Z |
| publishDate | 2010 |
| publisher | SERSC (Science & Engineering Research Support Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-389982017-01-30T14:28:53Z Building knowledge around complex objects using InforBright Data Warehousing technology Johnson, J. Johnson, Genevieve qualitative data semantic similarity qualitative data analysis knowledge grid rough set data warehousing WordNet Infobright There are considerable challenges in analysing and reporting on word-based data. Infobright data warehousing technology was used to build knowledge around qualitative data that are subject to human interpretation. Infobright was chosen as a system for implementing the data set because its rough set based intelligence appears to be extensible with moderate effort to implement the data warehousing requirements for automatic interpretation of word based data. An example of social sciences research data was used for illustration. 2010 Journal Article http://hdl.handle.net/20.500.11937/38998 http://www.sersc.org/journals/IJDTA/vol3_no2.php SERSC (Science & Engineering Research Support Society fulltext |
| spellingShingle | qualitative data semantic similarity qualitative data analysis knowledge grid rough set data warehousing WordNet Infobright Johnson, J. Johnson, Genevieve Building knowledge around complex objects using InforBright Data Warehousing technology |
| title | Building knowledge around complex objects using InforBright Data Warehousing technology |
| title_full | Building knowledge around complex objects using InforBright Data Warehousing technology |
| title_fullStr | Building knowledge around complex objects using InforBright Data Warehousing technology |
| title_full_unstemmed | Building knowledge around complex objects using InforBright Data Warehousing technology |
| title_short | Building knowledge around complex objects using InforBright Data Warehousing technology |
| title_sort | building knowledge around complex objects using inforbright data warehousing technology |
| topic | qualitative data semantic similarity qualitative data analysis knowledge grid rough set data warehousing WordNet Infobright |
| url | http://www.sersc.org/journals/IJDTA/vol3_no2.php http://hdl.handle.net/20.500.11937/38998 |