An Integrated Search Framework for Leveraging the Knowledge-Based Web Ecosystem
The explosion of information constrains the judgement of search terms associated with Knowledge-Based Web Ecosystem (KBWE), making the retrieval of relevant information and its knowledge management challenging. The existing information retrieval (IR) tools and their fusion in a framework need attent...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Australasian Association for Information Systems and Australian Computer Society
2020
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| Online Access: | http://hdl.handle.net/20.500.11937/81451 |
| _version_ | 1848764366456881152 |
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| author | Zhu, Dengya Nimmagadda, Shastri Reiners, Torsten Rudra, Amit |
| author_facet | Zhu, Dengya Nimmagadda, Shastri Reiners, Torsten Rudra, Amit |
| author_sort | Zhu, Dengya |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The explosion of information constrains the judgement of search terms associated with Knowledge-Based Web Ecosystem (KBWE), making the retrieval of relevant information and its knowledge management challenging. The existing information retrieval (IR) tools and their fusion in a framework need attention, in which search results can effectively be managed. In this article, we demonstrate the effective use of information retrieval services by a variety of users and agents in various KBWE scenarios. An innovative Integrated Search Framework (ISF) is proposed, which utilises crawling strategies, web search technologies and traditional database search methods. Besides, ISF offers comprehensive, dynamic, personalized, and organization-oriented information retrieval services, ranging from the Internet, extranet, intranet, to personal desktop. In this empirical research, experiments are carried out demonstrating the improvements in the search process, as discerned in the conceptual ISF. The experimental results show improved precision compared with other popular search engines. |
| first_indexed | 2025-11-14T11:18:13Z |
| format | Journal Article |
| id | curtin-20.500.11937-81451 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:18:13Z |
| publishDate | 2020 |
| publisher | Australasian Association for Information Systems and Australian Computer Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-814512021-05-03T03:43:34Z An Integrated Search Framework for Leveraging the Knowledge-Based Web Ecosystem Zhu, Dengya Nimmagadda, Shastri Reiners, Torsten Rudra, Amit The explosion of information constrains the judgement of search terms associated with Knowledge-Based Web Ecosystem (KBWE), making the retrieval of relevant information and its knowledge management challenging. The existing information retrieval (IR) tools and their fusion in a framework need attention, in which search results can effectively be managed. In this article, we demonstrate the effective use of information retrieval services by a variety of users and agents in various KBWE scenarios. An innovative Integrated Search Framework (ISF) is proposed, which utilises crawling strategies, web search technologies and traditional database search methods. Besides, ISF offers comprehensive, dynamic, personalized, and organization-oriented information retrieval services, ranging from the Internet, extranet, intranet, to personal desktop. In this empirical research, experiments are carried out demonstrating the improvements in the search process, as discerned in the conceptual ISF. The experimental results show improved precision compared with other popular search engines. 2020 Journal Article http://hdl.handle.net/20.500.11937/81451 10.3127/ajis.v24i0.2331 https://creativecommons.org/licenses/by/3.0/ Australasian Association for Information Systems and Australian Computer Society fulltext |
| spellingShingle | Zhu, Dengya Nimmagadda, Shastri Reiners, Torsten Rudra, Amit An Integrated Search Framework for Leveraging the Knowledge-Based Web Ecosystem |
| title | An Integrated Search Framework for Leveraging the
Knowledge-Based Web Ecosystem |
| title_full | An Integrated Search Framework for Leveraging the
Knowledge-Based Web Ecosystem |
| title_fullStr | An Integrated Search Framework for Leveraging the
Knowledge-Based Web Ecosystem |
| title_full_unstemmed | An Integrated Search Framework for Leveraging the
Knowledge-Based Web Ecosystem |
| title_short | An Integrated Search Framework for Leveraging the
Knowledge-Based Web Ecosystem |
| title_sort | integrated search framework for leveraging the
knowledge-based web ecosystem |
| url | http://hdl.handle.net/20.500.11937/81451 |