Creative meta search: research and application

Ma, S (2019) Creative meta search: research and application. PhD thesis, Bath Spa University.

Abstract

The aim of this thesis is to provide a meta search method through the support of Abstraction and other related techniques according to software engineering. It is always a debatable issue on whether autonomous wisdom search is possible based on different perspectives; Besides, wisdom search becomes extremely crucial in modern life nowadays. Therefore, this study is to contribute to automatic wisdom search, in which computers, instead of human beings, will search wisdom results. A wisdom result is a result that is not only intelligent but also operable. To achieve this goal, this research focuses on wisdom in results for both research and industrial communities. Thus, this thesis proposes a novel meta search approach with three phases: (1) Cleansing at Concrete Level and Abstracting to Meta Level, (2) Decomposing and Evaluating at Meta Level, and (3) Balancing and Validating for Wisdom. Especially, this research achieves four original contributions. The first contribution is a novel approach to searching wisdom for specific domains, according to simulated human and machine wisdom search processes and Abstraction. The second one is a set of abstraction rules for abstracting wisdom components at meta level from wisdom elements at concrete level. The third one consists of balancing rules, according to identified atomic integration operations, where ontology, logics, inference techniques, integration principles and the atomic operations are implemented. The fourth one is a developed inference engine that can operate in different applications for various domains. Combining with the designed wisdom evaluation metrics with wisdom elements, wisdom components and corresponding algorithms, the presented meta search approach provides techniques to support every phase of searching wisdoms. Thus, one prototype system with tourism application is designed to follow the proposed approach in order to proof the concept of the proposed techniques.

Item Type: Thesis (PhD)
Keywords: search methods, abstraction, wisdom search, software engineering, inference engine, tourism, prototype
Divisions: School of Creative Industries
Date Deposited: 02 Sep 2021 14:19
Last Modified: 02 Sep 2021 14:19
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