DocumentCode :
1797293
Title :
Search engine optimization: From analysis based on an engineering meta-model towards integrative approaches
Author :
Sagot, Sylvain ; Fougeres, Alain-Jerome ; Ostrosi, Egon ; Lacom, Pauline
Author_Institution :
IRTES-M3M UTBM, Univ. of Technol. of Belfort-Montbeliard, Belfort, France
fYear :
2014
fDate :
10-12 Nov. 2014
Firstpage :
274
Lastpage :
281
Abstract :
Search Engine Optimization (SEO) is the process of improving a website´s position in the Internet search engine results. Firstly, this paper, by using an engineering meta-model, analyzes a range of different approaches discussed in the literature into a meta-model. This meta-model explains the key differences, and illustrates the relationships between them. Secondly, by clarifying the links between different models, the meta-model proposes to consider the SEO as a process to be designed rather than as a “combination” of techniques. This process has to integrate different models with the aim of improving and optimizing the SEO. Thirdly, two approaches are infered from this meta-model, and have been applied in a real situation. The results show that website ranking can be variable and fluctuating during the SEO process. It has to be an adaptive process which should be assisted by intelligent models and tools integrated in a holistic approach.
Keywords :
Internet; Web sites; search engines; Internet search engine results; SEO process; Web site position; Web site ranking; adaptive process; engineering metamodel; integrative approach; intelligent models; search engine optimization; Analytical models; Computational modeling; Internet; Mathematical model; Optimization; Search engines; Web pages; E-Business; Engineering meta-model; SEO design method; SEO process; Search engine optimization (SEO);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Society (i-Society), 2014 International Conference on
Conference_Location :
London
Type :
conf
DOI :
10.1109/i-Society.2014.7009059
Filename :
7009059
Link To Document :
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