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A Technical Study and Analysis on Fuzzy Similarity Based Models For Text Classification

Shalini Puri
2012 International Journal of Data Mining & Knowledge Management Process  
Such study and technical review provide a strong base of research work done on fuzzy similarity based text document categorization.  ...  Fuzzy similarity provides a way to find the similarity of features among various documents. In this paper, a technical review on various fuzzy similarity based models is given.  ...  and Agglomerative Hierarchical Methods [24] Web Document Classification Based on Fuzzy Association [25] A Fuzzy Self-Constructing Feature Clustering Algorithm for Text Classification [26] Exploring  ... 
doi:10.5121/ijdkp.2012.2201 fatcat:fkka4kow6jg4jpd22bufgwhkqe

Emerging Trends in Reducing Semantic Gap towards Multimedia Access: A Comprehensive Survey

Aijazahamed Qazi, R. H. Goudar
2016 Indian Journal of Science and Technology  
Objectives: The exponential growth of web has increased the volume of the documents. Data does not carry any meaning, but it should be interpreted efficiently for execution of query.  ...  This paper includes the recent trends in accessing the information in semantic web and reducing semantic gap.  ...  Ranking of documents based on relevance Documents OntoEdit Wallace et al. Subjective classification of multimedia using fuzzy algebra Video data sets Onto mat annotizer  ... 
doi:10.17485/ijst/2016/v9i30/99072 fatcat:asnamx3urveabjyritsri3guuy

Ontology Based Aspect Level Opinion Mining

Ms. Meleesa Alfonso*, Ms. Razia Sardinha
2016 Zenodo  
The evaluation is based on the hotel reviews collected from traveler guide sites such as tripadvisor and makemytrip.  ...  The basic idea of our approach is to capture the relationships among aspects, associations between aspects and their expressions of opinion.  ...  ACKNOWLEDGEMENTS The success of this report depends largely on the encouragement and guidelines of many people.  ... 
doi:10.5281/zenodo.56012 fatcat:sww4alqkgffgvooahyypjw2di4

Fuzzy-Ontology-Enrichment-based Framework for Semantic Search

Hajer Baazaoui Zghal, Henda Ben Ghezala
2014 Proceedings of the 10th International Conference on Web Information Systems and Technologies  
This paper presents a framework for semantic search based on ontology enrichment and fuzziness (FuzzOntoEnrichIR).  ...  The framework aims on the one hand to capitalize and formulate extraction-ontology rules based on a meta-ontology.  ...  First, in (Sayed et al., 2007) , document classification is not based on fuzzy ontologies.  ... 
doi:10.5220/0004923801230130 dblp:conf/webist/ZghalG14 fatcat:b5wrhlac3zainmvjuyq4nyuvye

A concept of semantics extraction from web data by induction of fuzzy ontologies

M. Kaufmann, E. Portmann, M. Fathi
2013 IEEE International Conference on Electro-Information Technology , EIT 2013  
We define a conceptual framework, a semantics extraction algorithm, and a first proof of concept applying the algorithm to a small set of Wikipedia documents.  ...  fuzzy classification 1  ...  We sincerely thank our colleagues from the Fuzzy Marketing Methods Research Center and from the Berkeley Initiative in Soft Computing for contributing valuable thoughts.  ... 
doi:10.1109/eit.2013.6857939 fatcat:wo4ybv7kbnbp3mansqqul4irtq

Patent Search Decision Support Service

Aviv Segev, Jussi Kantola
2010 2010 Seventh International Conference on Information Technology: New Generations  
The model is based on inputting a patent request and extracting the relevant existing patent documents.  ...  The search for patent information is based on Fuzzy Logic decision support, allowing a more comprehensive search.  ...  She enters a document into the Web based ontology matching process. After a couple of minutes she can see a list of related concepts together with the degrees of relevance.  ... 
doi:10.1109/itng.2010.99 dblp:conf/itng/SegevK10 fatcat:b7dg4cjk2vco3lt2drkzvrfuqm

Hybrid Fuzzy-ontology Design Using FCA Based Clustering for Information Retrieval in Semantic Web

K. Balasubramaniam
2015 Procedia Computer Science  
Ontology is a way to represent the domain knowledge into a human understandable and machine readable format. It is used as one of the major knowledge representation mechanism for semantic web.  ...  The given algorithm is a hybrid technique based on matching extracted instances from the input queries and in information domain.  ...  At last, a method based on fuzzy concept for combining other attributes of database to the ontology is planned.  ... 
doi:10.1016/j.procs.2015.04.075 fatcat:lapkeusytzfirharigor2ntnca

A multilingual text mining approach to web cross-lingual text retrieval

Rowena Chau, Chung-Hsing Yeh
2004 Knowledge-Based Systems  
This approach is employed for developing a multi-agent system to facilitate concept-based CLTR on the Web. q  ...  When language-independent concepts hidden beneath both document and query are revealed, concept-based matching is made possible. Hence, concept-based CLTR is facilitated.  ...  This approach is employed for developing a multi-agent system to facilitate concept-based CLTR on the Web.  ... 
doi:10.1016/j.knosys.2004.04.001 fatcat:xcvrtmnhkve67eauw6ohzjpky4

Fuzzy Ontology for Distributed Document Clustering based on Genetic Algorithm

Thangamani M, P Thangaraj
2013 Applied Mathematics & Information Sciences  
In this paper, a new document clustering scheme with fuzzy ontology based genetic clustering is proposed.  ...  The availability of large quantity of text documents from the World Wide Web and business document management systems has made the dynamic separation of texts into new categories as a very important task  ...  In this paper, the concept of document clustering is extended into Web document clustering by establishing the approach of affinity based similarity measure, which makes use of the user access patterns  ... 
doi:10.12785/amis/070442 fatcat:egfoyks27rcbdnhoztvqyvucfy

E-Service Intelligence: An Introduction [chapter]

Jie Lu, Da Ruan, Guangquan Zhang
2007 Studies in Computational Intelligence  
This chapter offers a thorough introduction and systematic overview of the new field e-service intelligence mainly based on computational intelligence techniques.  ...  mining, online searching/data retrieval, and various web-based support systems.  ...  Some successful examples include web user profile clustering, web document classification, web document clustering, online concept retrieval, and web key information finding (Wang et al., 2006) .  ... 
doi:10.1007/978-3-540-37017-8_1 fatcat:wdrvcikn5fagbit4fkp7ma6nvm

A Comprehensive Survey on Query Expansion Techniques, their Issues and Challenges

Neha Kathuria, Kanika Mittal
2017 International Journal of Computer Applications  
In order to improve the retrieval performance, the process of Query expansion is performed on the original user's query in order to reformulate the user's query.  ...  Through this paper, a comprehensive survey is presented to study the various query expansion techniques proposed in literature by researchers and the various keyholes in the current scenario.  ...  Fuzzy Logic is easy, flexible and more intuitive approach to deal with imprecise data as based on natural language.  ... 
doi:10.5120/ijca2017914424 fatcat:g7fhniioe5aa3morxprr6firlq

Annotating Fuzzy Web Data Table Integration using ONDINE System

S. Selvapriya, S. Thirunavukarasu
2015 Indian Journal of Science and Technology  
The data warehouse consists of data in the table format which is to be extracted from the web documents. The primary step is to annotate the data tables that are extracted.  ...  The instances of these concepts of the annotated data tables in each row mainly based on fuzzy RDF annotations, which is presented in section 4.  ...  The primary one consists of associating the data tables, those are been extracted from Web documents, with a reliability that accounts to several criteria to qualify the trust in the data source as like  ... 
doi:10.17485/ijst/2015/v8i32/87210 fatcat:flf3ognbmrh3hcd7ddjnrj2k74

Rules and fuzzy rules in text: concept, extraction and usage

D.H. Kraft, M.J. Martı́n-Bautista, J. Chen, D. Sánchez
2003 International Journal of Approximate Reasoning  
We include a review of the most relevant works of the different types of rules based on their representation and their application to most of the common tasks of Information Retrieval such as categorization  ...  In this paper, we focus on the concept of rule and the management of uncertainty in text applications.  ...  In [4] , the authors present a knowledge-based approach to construct queries. The knowledge base contains concepts and fuzzy relations among the concepts.  ... 
doi:10.1016/j.ijar.2003.07.005 fatcat:36ypsda6mvh4jkty5runl4hrqm

Web Page Classification Using SVM and FURIA

P. Madhubala, K. Murugesan
2015 Research Journal of Applied Sciences Engineering and Technology  
Text Classification classifies a document, under a predefined category.  ...  Mostly, an automatic text classification is an important application taken as a research topic, since the inception of digital documents.  ...  The mapping can be performed by a suitable choice of a kernel function. Fuzzy Unordered Rule Induction Algorithm (FURIA): FURIA is a fuzzy rule-based classification method.  ... 
doi:10.19026/rjaset.9.1434 fatcat:r67ovyamv5f2lawqyia6ddjaaa

Fuzzy Logic Applications for Knowledge Discovery: a Survey

Jorge Ropero, Carlos Leon, Alejandro Carrasco, Ariel Gomez, Octavio Rivera
2011 International Journal of Advancements in Computing Technology  
We introduce a huge variety of FL applications, using the two main existing approaches: the applications based on the Vector Space Model (VSM); and the applications based on ontologies.  ...  In this paper, we present a survey on Fuzzy Logic (FL) applications for Knowledge Discovery (KD), focusing on Information Retrieval (IR) and Information Extraction (IE).  ...  The database is based on objects of knowledge: the content of a document or the service is defined by a two-dimensional matrix (map of knowledge) based on a scheme of decimal classification and a game  ... 
doi:10.4156/ijact.vol3.issue6.22 fatcat:j2d7fl6irzgvbn2qualdgshuqq
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