A methodology for quality-based mashup of data sources
The concept of mashup is gaining tremendous popularity and its application can be seen in a large number of domains. Enterprises using and relying upon mashup have improved their mass collaboration and personalization. In order for mashup technology to be widely accepted and widely used, we need a m...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
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Association for Computing Machinery (ACM)
2008
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| Subjects: | |
| Online Access: | http://doi.acm.org/10.1145/1497308.1497403 http://hdl.handle.net/20.500.11937/46391 |
| _version_ | 1848757544206467072 |
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| author | Raza, Muhammad Hussain, Farookh Khadeer Chang, Elizabeth |
| author2 | G. Kotsis |
| author_facet | G. Kotsis Raza, Muhammad Hussain, Farookh Khadeer Chang, Elizabeth |
| author_sort | Raza, Muhammad |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The concept of mashup is gaining tremendous popularity and its application can be seen in a large number of domains. Enterprises using and relying upon mashup have improved their mass collaboration and personalization. In order for mashup technology to be widely accepted and widely used, we need a methodology by which can make use of the quality of the input to the mashup process as a governing principle to carry out mashup. This paper reviews the concept of mashup in different domains and proposes a conceptual solution framework for providing quality based mashup process. |
| first_indexed | 2025-11-14T09:29:47Z |
| format | Conference Paper |
| id | curtin-20.500.11937-46391 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:29:47Z |
| publishDate | 2008 |
| publisher | Association for Computing Machinery (ACM) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-463912022-12-07T06:50:50Z A methodology for quality-based mashup of data sources Raza, Muhammad Hussain, Farookh Khadeer Chang, Elizabeth G. Kotsis D. Taniar E. Pardede I. Khalil Mashup CCCI metrics trust reputation quality The concept of mashup is gaining tremendous popularity and its application can be seen in a large number of domains. Enterprises using and relying upon mashup have improved their mass collaboration and personalization. In order for mashup technology to be widely accepted and widely used, we need a methodology by which can make use of the quality of the input to the mashup process as a governing principle to carry out mashup. This paper reviews the concept of mashup in different domains and proposes a conceptual solution framework for providing quality based mashup process. 2008 Conference Paper http://hdl.handle.net/20.500.11937/46391 http://doi.acm.org/10.1145/1497308.1497403 Association for Computing Machinery (ACM) fulltext |
| spellingShingle | Mashup CCCI metrics trust reputation quality Raza, Muhammad Hussain, Farookh Khadeer Chang, Elizabeth A methodology for quality-based mashup of data sources |
| title | A methodology for quality-based mashup of data sources |
| title_full | A methodology for quality-based mashup of data sources |
| title_fullStr | A methodology for quality-based mashup of data sources |
| title_full_unstemmed | A methodology for quality-based mashup of data sources |
| title_short | A methodology for quality-based mashup of data sources |
| title_sort | methodology for quality-based mashup of data sources |
| topic | Mashup CCCI metrics trust reputation quality |
| url | http://doi.acm.org/10.1145/1497308.1497403 http://hdl.handle.net/20.500.11937/46391 |