An Integrated Information Retrieval Framework for Managing the Digital Web Ecosystem
The information explosion constrains the Digital Web Ecosystem exploration and makes challenging in retrieving relevant information and knowledge using Web search tools. The existing tools are not well integrated, and search results are inadequately managed. In this article, we describe effective...
| Main Authors: | , , |
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| Format: | Conference Paper |
| Published: |
2018
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/75608 |
| _version_ | 1848763514073645056 |
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| author | Zhu, Dengya Nimmagadda, Shastri Reiners, Torsten |
| author_facet | Zhu, Dengya Nimmagadda, Shastri Reiners, Torsten |
| author_sort | Zhu, Dengya |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The information explosion constrains the Digital Web Ecosystem exploration and makes challenging in
retrieving relevant information and knowledge using Web search tools. The existing tools are not well
integrated, and search results are inadequately managed. In this article, we describe effective
information retrieval services for users and agents in various digital Web ecosystem scenarios. A novel
Integrated Information Retrieval Framework (IIRF) is proposed, which employs the Web search
technologies and traditional database searching techniques to provide comprehensive, dynamic,
personalized, and organization-oriented information retrieval services, ranging from the Internet,
intranet, to personal desktop. Experiments are carried out demonstrating the improvements in the
search process with an average precision of Web search results to standard 11 recall level, attaining
improvement from 41.7% of a comparable system to 65.2% of search. A 23.5% precision improvement
is achieved with the framework. The comparison made among search engines presents similar
development with satisfactory search results. |
| first_indexed | 2025-11-14T11:04:40Z |
| format | Conference Paper |
| id | curtin-20.500.11937-75608 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:04:40Z |
| publishDate | 2018 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-756082021-02-04T23:46:28Z An Integrated Information Retrieval Framework for Managing the Digital Web Ecosystem Zhu, Dengya Nimmagadda, Shastri Reiners, Torsten digital ecosystem, information retrieval, information management, search engine, crawler The information explosion constrains the Digital Web Ecosystem exploration and makes challenging in retrieving relevant information and knowledge using Web search tools. The existing tools are not well integrated, and search results are inadequately managed. In this article, we describe effective information retrieval services for users and agents in various digital Web ecosystem scenarios. A novel Integrated Information Retrieval Framework (IIRF) is proposed, which employs the Web search technologies and traditional database searching techniques to provide comprehensive, dynamic, personalized, and organization-oriented information retrieval services, ranging from the Internet, intranet, to personal desktop. Experiments are carried out demonstrating the improvements in the search process with an average precision of Web search results to standard 11 recall level, attaining improvement from 41.7% of a comparable system to 65.2% of search. A 23.5% precision improvement is achieved with the framework. The comparison made among search engines presents similar development with satisfactory search results. 2018 Conference Paper http://hdl.handle.net/20.500.11937/75608 http://creativecommons.org/licenses/by-nc/3.0/au/ fulltext |
| spellingShingle | digital ecosystem, information retrieval, information management, search engine, crawler Zhu, Dengya Nimmagadda, Shastri Reiners, Torsten An Integrated Information Retrieval Framework for Managing the Digital Web Ecosystem |
| title | An Integrated Information Retrieval Framework for Managing the Digital Web Ecosystem |
| title_full | An Integrated Information Retrieval Framework for Managing the Digital Web Ecosystem |
| title_fullStr | An Integrated Information Retrieval Framework for Managing the Digital Web Ecosystem |
| title_full_unstemmed | An Integrated Information Retrieval Framework for Managing the Digital Web Ecosystem |
| title_short | An Integrated Information Retrieval Framework for Managing the Digital Web Ecosystem |
| title_sort | integrated information retrieval framework for managing the digital web ecosystem |
| topic | digital ecosystem, information retrieval, information management, search engine, crawler |
| url | http://hdl.handle.net/20.500.11937/75608 |