Intelligent Semantic Web Search Engines: A Brief Survey

Madhu, G.; Govardhan, A.; Rajinikanth, T.K.V.

doi:10.5121/ijwest.2011.2103

Cited by 65 publications

(31 citation statements)

References 16 publications

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“…Past SEO experience is connected with week unethical search algorithms contrary to present SEO that is connected more with algorithms that are intelligent and use state of the art techniques by SEO specialists [10,18,20]. This means, web sites have to be semantic, with optimized keywords and structure, unique and optimized content and optimized links.…”

Section: Related Workmentioning

confidence: 99%

Search Engine Optimization on PHP based web pages in practice

Savoska¹,

Naka²,

Manevska³

et al. 2016

ERSICT

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Abstract. SEO is a symbiosis of arts and science. The art's aspect of optimization requests dynamics, creativity and intuition in order to improve the searching rankings. The searching algorithms are too complex to make backward engineering to each aspect of them. Therefore, some scientific aspects have been included such as assumptions, notices, drawing conclusions and achieving multiplicative results as SEO functions. Ability to connect the users with the service or goods supplier is, probably the most significant and the most valuable skill placed on the Internet. In this paper we share our experience of using techniques and methods for improvements of SEO results through a practical example. Some important factors for rising of the rankings of web pages and SEO methodologies of "white and grey" hat, used to increase the ranking of the targeted web sites, have also been presented.

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Section: Related Workmentioning

confidence: 99%

Search Engine Optimization on PHP based web pages in practice

Savoska¹,

Naka²,

Manevska³

et al. 2016

ERSICT

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show abstract

“…Madhu et al [18] have used typically domain specific knowledge. Roul and Sahay [19] brought about a method of finding the synonyms of frequent words in the Word-Net database, and adding the synonyms to the pool of frequent terms that comprise the cluster label candidates.…”

Section: Related Workmentioning

confidence: 99%

Acquiring the Best Page using Query Term Synonym Combination

J¹,

Bichkar²

2017

IJCA

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A large amount of information is available on the web. Generating relevant information from the web for a user has become a question of great concern. This information is made available to the user by search engines as per the query given by a user. Search engines return pages depending on a ranking algorithm based on links, to and from the page and on how popular a page is, with respect to the hits received by users. In most cases the pages returned are too many and irrelevant. It is therefore necessary to use a technique that caters to relevance of the page returned with respect to the query fired by a user. A system associated with use of synonyms of terms in the query has proved to be useful. A combination of such synonyms fired to a search engine has returned relevant information pages. In most cases it has also generated a better page than an individual search engine.The present paper reflects on how synonyms of terms generated from the query are crossed over and fired to the search engine to generate more relevant semantic associated pages. These pages are then tested against the pages returned by the individual search engine with use of the original query using a standard page ranking tool. The pages are also examined for relevance to specific users and usefulness of content to a specific domain. The pages are examined for their positions using ranking tools, trustworthiness tools and intent drifting. It is found that the pages returned using the method of combining synonyms of terms of the user query are placed at better ranking positions. An analysis of the pages returned also indicates relevance to user, usefulness of content to specific domains and possibility of intent drift.

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“…Over the time, World Wide Web (WWW) has made data sharing online an easy task for all users which created an immense amount of data available and transformed the Web to a massive semi-structured database [1]. Hence, retrieving relevant information efficiently from this huge dataspace is a huge challenge.…”

Section: Introductionmentioning

confidence: 99%

State of the Art Exploration Systems for Linked Data: A Review

Jacksi¹,

Dimililer²,

Zeebaree³

2016

ijacsa

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Abstract-The ever-increasing amount of data available on the web is the result of the simplicity of sharing data over the current Web. To retrieve relevant information efficiently from this huge dataspace, a sophisticated search technology, which is further complicated due to the various data formats used, is crucial. Semantic Web (SW) technology has a prominent role in search engines to alleviate this issue by providing a way to understand the contextual meaning of data so as to retrieve relevant, high-quality results. An Exploratory Search System (ESS), is a featured data looking and search approach which helps searchers learn and explore their unclear topics and seeking goals through a set of actions. To retrieve high-quality retrievals for ESSs, Linked Open Data (LOD) is the optimal choice. In this paper, SW technology is reviewed, an overview of the search strategies is provided, and followed by a survey of the state of the art Linked Data Browsers (LDBs) and ESSs based on LOD. Finally, each of the LDBs and ESSs is compared with respect to several features such as algorithms, data presentations, and explanations.

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Intelligent Semantic Web Search Engines: A Brief Survey

Cited by 65 publications

References 16 publications

Search Engine Optimization on PHP based web pages in practice

Search Engine Optimization on PHP based web pages in practice

Acquiring the Best Page using Query Term Synonym Combination

State of the Art Exploration Systems for Linked Data: A Review

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