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Automatic discovery and ranking of synonyms for search keywords in the web

K.C. Srikantaiah, M.S. Roopa, N. Krishna Kumar, K.R. Venugopal, L.M. Patnaik
2014 International Journal of Web Science  
To alleviate these problems, we propose an algorithm called automatic discovery and ranking of synonyms for search keywords in the web (ADRS).  ...  A vast majority of these web users experience difficulties caused by the keyword-based search engines such as inaccurate results for queries and irrelevant URLs even though the given keyword is present  ...  Contribution In this paper, we propose a dynamic, online domain-independent algorithm called automatic discovery and ranking of synonyms for search keywords in the web (ADRS) that provides a ranked list  ... 
doi:10.1504/ijws.2014.070668 fatcat:rx4rxsluafc4bikeeitvsomdn4

A Synonym Based Approach of Data Mining in Search Engine Optimization

Palvi Arora, Tarun Bhalla
2014 International Journal of Computer Trends and Technology  
This paper present a synonym based data mining approach for SEO that makes the task of improving the ranking of the website much easier way and user will get answer to their query easily through any of  ...  In todays era with the rapid growth of information on the web, makes users turn to search engines as a replacement of traditional media.  ...  Matching the keywords and synonyms on web:Web is searched for relevant documents based on keyword as well as synonym.  ... 
doi:10.14445/22312803/ijctt-v12p140 fatcat:w2sdd7shu5hhflwigpvr3aarme

Development of new techniques to improve Web search

David Sánchez, Antonio Moreno
2005 International Joint Conference on Artificial Intelligence  
In order to solve them, we propose new methods for polysemy disambiguation of web resources and discovery of lexicalizations and synonyms of search queries.  ...  Web search engines are a great help for accessing web sites but they present several problems regarding semantic ambiguity.  ...  In order to face these two problems, in this paper we present new, automatic and autonomous methodologies for semantic disambiguation and classification of web resources and for discovery of lexicalizations  ... 
dblp:conf/ijcai/SanchezM05 fatcat:7yorn3x2crao7akiigitvlhysa

Extensible Dynamic Form approach for supplier discovery

Yan Kang, Jaewook Kim, Yun Peng
2011 2011 IEEE International Conference on Information Reuse & Integration  
With XDF, the supplier's capability information can be entered in the structure and format that fit different intentions of individual users.  ...  Experimental results demonstrate that the proposed architecture is valuable for facilitating the supplier discovery process.  ...  Acknowledgements This work was supported in part by NIST award 60NANB6D6206.  ... 
doi:10.1109/iri.2011.6009525 dblp:conf/iri/KangKP11 fatcat:igq5n5ppovcsrjhsnprjekebmu

Web Service Discovery Methods and Techniques: A Review

Soodeh Pakari, Esmaeel Kheirkhah, Mehrdad Jalali
2014 International Journal of Computer Science Engineering and Information Technology  
In this paper, we classify them and determine the advantages and disadvantages of each group, to help researchers to implement a new or to select the most appropriate existing approach for Semantic Web  ...  The Semantic Web Service discovery is the process of finding the most suitable service that satisfies the user request. A number of approaches to Web Service discovery have been proposed.  ...  or impropriate [6] . • The idea behind the keyword search is that the keyword involved in the search query which matches them with Web Service description.  ... 
doi:10.5121/ijcseit.2014.4101 fatcat:oo2oig5eybhqnipc27mjk4qfke

Synonym Discovery for Structured Entities on Heterogeneous Graphs

Xiang Ren, Tao Cheng
2015 Proceedings of the 24th International Conference on World Wide Web - WWW '15 Companion  
We cast the synonym discovery problem into a graph-based ranking problem and demonstrate the existence of a closed-form optimal solution for outputting entity synonym scores.  ...  A general, heterogeneous graph-based data model which encodes our problem insights is designed by capturing three key concepts (synonym candidate, web page and keyword) and different types of interactions  ...  Entity synonym discovery is useful for a rich set of applications (e.g., vertical search, web search), as it helps boost recall, improves precision and enhances user experience. * Work was partially done  ... 
doi:10.1145/2740908.2745396 dblp:conf/www/RenC15 fatcat:3h7h77zdozdx3noz53yjqq5zem

Web Image Re-ranking using Semantic Signature and Visual Query Expansion

Khushabu A., Shital Patil
2016 International Journal of Computer Applications  
Web image reranking is an effective way to improve the results of web based image searching.  ...  A major challenge in web image reranking is that the similarities of visual features are not correlated with images and semantic meanings which can not interpret users search intention.  ...  Data mining is a core part of KDD process. Knowledge Discovery in Databases (KDD) is an automatic and modelling of large data repositories.  ... 
doi:10.5120/ijca2016911613 fatcat:eqleavnhfjcq7mbwdllabib6ke

EasyApp: Goal-Driven Service Flow Generator with Semantic Web Service Technologies [chapter]

Yoo-mi Park, Yuchul Jung, HyunKyung Yoo, Hyunjoo Bae, Hwa-Sung Kim
2011 Lecture Notes in Computer Science  
The purpose of EasyApp is to provide application creation environment for software programmers to make new application semi-automatically by enabling the semantic composition of web services on the Web  ...  In this demo, we introduce key technologies of EasyApp to overcome the problems of the previous work on semantic web service technologies.  ...  During the semantic service discovery, top-k services are ranked based on a weighted sum of the textual similarity score given by keyword search and the functional similarity that represents the goal achievability  ... 
doi:10.1007/978-3-642-21064-8_32 fatcat:dhudn4tmyzeaxgoswtyujxorsa

Security Techniques for Prevention of Rank Manipulation in Social Tagging Services including Robotic Domains

Okkyung Choi, Hanyoung Jung, Seungbin Moon
2014 The Scientific World Journal  
Similarity is measured for ranking the grade of registered tag on the contents, and weighted values of each tag are measured by means of synonym relevance, frequency, and semantic distances between tags  ...  Therefore, this study proposes a detection method for tag-ranking manipulation to solve the problem of the existing methods which cannot guarantee the reliability of tagging.  ...  Existing search engines determine searching ranks based on keywords, but Google gives searching ranks based on the number of pages that are referred for each webpage.  ... 
doi:10.1155/2014/832638 pmid:25114975 pmcid:PMC4119737 fatcat:ae2ihi2korfrxma76bacrobg74

A Bi-Dimensional User Profile to Discover Unpopular Web Sources

Romain Noël, Nicolas Malandain, Alexandre Pauchet, Laurent Vercouter, Bruno Grilheres, Stephan Brunessaux
2015 Proceedings of the 24th International Conference on World Wide Web - WWW '15 Companion  
The discovery of new sources of information on a given topic is a prominent problem for Experts in Intelligence Analysis (EIA) who cope with the search of pages on specific and sensitive topics.  ...  We propose a double vector to model EIA's information needs, composed of DBpedia resources [2] and keywords, both extracted from Web pages provided by the user.  ...  The steps of the overall process of Web sources discovery implemented in our system called DOWSER (Discovery Of Web Sources Evaluating Relevance) are the following: 1) The user provides URLs of pages according  ... 
doi:10.1145/2740908.2742139 dblp:conf/www/NoelMPVGB15 fatcat:eqojumvyxbaljcwolucqqfqyqi

Using semantic techniques to access web data

Raquel Trillo, Laura Po, Sergio Ilarri, Sonia Bergamaschi, Eduardo Mena
2011 Information Systems  
In this paper, we propose a set of semantics techniques to group the results provided by a traditional search engine into categories defined by the different meanings of the input keywords.  ...  Nowadays, people frequently use different keyword-based web search engines to find the information they need on the web.  ...  Acknowledgements This paper is the result of a joint work started during Raquel Trillo' We would like to thank Arantza Illarramendi and Serena Sorrentino for their valuable comments and support.  ... 
doi:10.1016/ fatcat:2u6ce6pivfebbabxgjd5q7je7q

A Semantic web: Intelligence in information retrieval

R. J. Aroma, M. Kurian
2013 2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)  
The main goal of this paper is to propose the steps for bringing out a new Semantic web discovery algorithm with an efficient Semantic mapping and a novel Classification Scheme for categorization of concepts  ...  The rapid growth of web resources lead to a need of enhanced Search scheme for information retrieval. Every single user contributes a part of new information to be added to the web every day.  ...  The current web admits a syntactic mode of discovery in searching results. It is based on the keyword query being supplied to search the data in search engines, [3] .  ... 
doi:10.1109/ice-ccn.2013.6528493 fatcat:fjgb77jlsjcblizx4kg5nvorjq

Optimizing webpage relevancy using page ranking and content based ranking

J Satish Babu, T Ravi Kumar, Dr Shahana Bano
2018 International Journal of Engineering & Technology  
The strategy, we call it Page Content Rank (PCR) in the paper, consolidates various heuristics that appear to be critical for breaking down the substance of Web pages.  ...  As a source set of pages for mining we utilize an arrangement of pages reacted by a web search tool to the question q. PCR utilizes a neural system as its inward order structure.  ...  We have done work related to web page relevancy in this we have taken content ranking by considering the weight of keyword, in the mere future web page relevancy can be done more precisely.  ... 
doi:10.14419/ijet.v7i2.7.12220 fatcat:2h2wtyulvng55gpp4td4x3pzza

Building a biomedical ontology recommender web service

Clement Jonquet, Mark A Musen, Nigam H Shah
2010 Journal of Biomedical Semantics  
The system uses textual metadata or a set of keywords describing a domain of interest and suggests appropriate ontologies for annotating or representing the data.  ...  Researchers in biomedical informatics use ontologies and terminologies to annotate their data in order to facilitate data integration and translational discoveries.  ...  We acknowledge the assistance in software development of Chris Callendar (University of Victoria, CA) for the user interface.  ... 
doi:10.1186/2041-1480-1-s1-s1 pmid:20626921 pmcid:PMC2903720 fatcat:d7mxashoyjhsbphqqlpsi3ugxq

An Efficient and Optimized Sematic Web Enabled Framework (EOSWEF) for Google Search Engine Using Ontology

Vipin Kumar, Department of Computer Applications, KIET Group of Institutions, Ghaziabad, India, Arun Kumar Tripathi, Naresh Chandra
2019 International Journal of Information Engineering and Electronic Business  
For this, in ontology the prefix keywords and its sematic association are pre-stored.  ...  The paper suggests a new keyword-based semantic retrieval scheme for google search engines.  ...  Another problem in keyword-based searching techniques is that it do not automatically extract meaning from the relevant results of a query.  ... 
doi:10.5815/ijieeb.2019.05.06 fatcat:aojsmxcpjzdkhkcjfrk27nyo4e
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