IDENTIFYING WEBPAGE SEMANTICS FOR SEARCH ENGINE OPTIMIZATION

Themistoklis Mavridis, Andreas L. Symeonidis, Andreas L. Symeonidis

2012

Abstract

The added-value of search engines is, apparently, undoubted. Their rapid evolution over the last decade has transformed them into the most important source of information and knowledge. From the end user side, search engine success implies correct results in fast and accurate manner, while also ranking of search results on a given query has to be directly correlated to the user anticipated response. From the content providers’ side (i.e. websites), better ranking in a search engine result set implies numerous advantages like visibility, visitability, and profit. This is the main reason for the flourishing of Search Engine Optimization (SEO) techniques, which aim towards restructuring or enriching website content, so that optimal ranking of websites in relation to search engine results is feasible. SEO techniques are becoming more and more sophisticated. Given that internet marketing is extensively applied, prior quality factors prove insufficient, by themselves, to boost ranking and the improvement of the quality of website content is also introduced. Current paper discusses such a SEO mechanism. Having identified that semantic analysis was not been widely applied in the field of SEO, a semantic approach is adopted, which employs Latent Dirichlet Allocation techniques coupled with Gibbs Sampling in order to analyze the results of search engines based on given keywords. Within the context of the paper, the developed SEO mechanism LDArank is presented, which evaluates query results through state-of-the-art SEO metrics, analyzes results’ content and extracts new, optimized content.

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Paper Citation


in Harvard Style

Mavridis T., L. Symeonidis A. and L. Symeonidis A. (2012). IDENTIFYING WEBPAGE SEMANTICS FOR SEARCH ENGINE OPTIMIZATION.In Proceedings of the 8th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-8565-08-2, pages 272-275. DOI: 10.5220/0003937302720275


in Bibtex Style

@conference{webist12,
author={Themistoklis Mavridis and Andreas L. Symeonidis and Andreas L. Symeonidis},
title={IDENTIFYING WEBPAGE SEMANTICS FOR SEARCH ENGINE OPTIMIZATION},
booktitle={Proceedings of the 8th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2012},
pages={272-275},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003937302720275},
isbn={978-989-8565-08-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - IDENTIFYING WEBPAGE SEMANTICS FOR SEARCH ENGINE OPTIMIZATION
SN - 978-989-8565-08-2
AU - Mavridis T.
AU - L. Symeonidis A.
AU - L. Symeonidis A.
PY - 2012
SP - 272
EP - 275
DO - 10.5220/0003937302720275