A semantic web based meta search engine

Li, S (2017) A semantic web based meta search engine. M.Phil thesis, Bath Spa University.

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With the rapid development of economy and technology, people who are influenced by the era pay more attention to the Internet. Creative computing is a relatively new research area, for enhancing human creativity through requiring computing itself to be creative. It involves the Internet, web language, art, humanities and other areas. It motivates creative thinking during the process of study. The aim of my research is to develop a targeted and personalised a meta search engine (MSE) based on the semantic web technology and at the same time, to explore whether it will resolve problems and create applied value for a group of people. The semantic web integrates Internet into an integral database by adding meta data which can be acknowledged by computer. By adding meta data, all content will be re-graded into data by document unit. As a result, data will cover meanings in different semantics and can generate certain logical relationship. On account of this concept, after receiving searching needs, Meta Search Engine hunts on multiple search engines and return result to users. It mainly focuses on improving searching speed, intelligently handling of search result and personalising searching function. What is more, recall ratio and precision ratio is high with increasing friendliness on users’ retrieval surface. The author can personally provide targeted search of a restricted field by compiling algorithm of metadata search engine. Compared with the present search engines, the Writer’s Portal that I am building is more personalised. Writer’s Portal can provide the writers with more information on funding opportunities and scholarship support, etc., in order that writer could find a variety of aids on finance. Therefore, this is a very practical and a focused project. It can also fully show the characteristics of accuracy and personalisation of the meta search engines.

Item Type: Thesis (M.Phil)

Thesis supervised by Hongji Yang.

Keywords: Internet, search engines, computing, personalised search, targeted search, recall ratio, precision ratio, metadata, writers
Divisions: Bath School of Design
Identification Number: https://doi.org/10.17870/bathspa.00010713
Date Deposited: 25 Jan 2018 17:39
Last Modified: 21 Apr 2023 13:33
URI / Page ID: https://researchspace.bathspa.ac.uk/id/eprint/10713
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