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Fuzzy Ontology Mining and Semantic Information Granulation for Effective Information Retrieval Decision Making

Chapmann C.L. Lai, Raymond Y.K. Lau, Yuefeng Li
2011 International Journal of Computational Intelligence Systems  
Our TREC-based experiment reveals that the proposed fuzzy ontology based granular IR system outperforms a classical vector space based IR system in domain specific IR.  ...  Our research work opens the door to the applications of granular computing and fuzzy ontology mining methods to enhance domain specific IR decision making.  ...  Our experimental results show that the fuzzy ontology based granular IR system outperforms a classical similarity-based IR system for some routing tasks.  ... 
doi:10.2991/ijcis.2011.4.1.5 fatcat:gvpfbcbhsbhjrgjygi4me2f2jq

Fuzzy Ontology Mining and Semantic Information Granulation for Effective Information Retrieval Decision Making

Raymond Y.K. Lau, Chapmann C.L. Lai, Yuefeng Li
2011 International Journal of Computational Intelligence Systems  
Our TREC-based experiment reveals that the proposed fuzzy ontology based granular IR system outperforms a classical vector space based IR system in domain specific IR.  ...  Our research work opens the door to the applications of granular computing and fuzzy ontology mining methods to enhance domain specific IR decision making.  ...  Our experimental results show that the fuzzy ontology based granular IR system outperforms a classical similarity-based IR system for some routing tasks.  ... 
doi:10.1080/18756891.2011.9727763 fatcat:qck4byizgbemzlssdyglwmwnpq

Computational Intelligence in Decision Making

Tianrui Li, Pawan Lingras, Yuefeng Li, Joseph Herbert
2011 International Journal of Computational Intelligence Systems  
It contains 86 final accepted papers from 229 online submissions for RSKT2009.  ...  Experimental results show that the proposed fuzzy ontology based granular IR system outperforms a classical vector space based IR system in domain specific IR.  ...  The authors illustrate the design and development of a fuzzy ontology based granular information retrieval (IR) system to improve the effectiveness of IR decision making for various domains.  ... 
doi:10.1080/18756891.2011.9727758 fatcat:k4agqubsmnbuhl5zhowxyhmwiy

Ontology Based Aspect Level Opinion Mining

Ms. Meleesa Alfonso*, Ms. Razia Sardinha
2016 Zenodo  
In recent years, opinion mining has been investigated mainly in three level of granularity (document, sentence or aspect(feature)).  ...  In our project, a domain ontology has been introduced, which defines a space of hotel aspects, thus makes it possible for an hotel to be classified and scored by commonly accepted aspects.  ...  I thank my parents and friends for their support and encouragement throughout my project work. I am grateful to God for his blessings for which words are not enough to praise his glory.  ... 
doi:10.5281/zenodo.56012 fatcat:sww4alqkgffgvooahyypjw2di4

Formal Concept Analysis in Knowledge Discovery: A Survey [chapter]

Jonas Poelmans, Paul Elzinga, Stijn Viaene, Guido Dedene
2010 Lecture Notes in Computer Science  
As a case study, we zoom in on the 140 papers on using FCA in knowledge discovery and data mining and give an extensive overview of the contents of this literature.  ...  In 13% of the FCA papers, FCA is used in combination with ontologies or for ontology engineering. In 11% of the papers, the extension of FCA to deal with fuzzy attributes is investigated.  ...  papers authors make use of ontologies. 15 IR papers deal with the retrieval of software structures such as software components.  ... 
doi:10.1007/978-3-642-14197-3_15 fatcat:e2d6pofivza6pcyn72m3tjrbda

Fuzzy and rough formal concept analysis: a survey

Jonas Poelmans, Dmitry I. Ignatov, Sergei O. Kuznetsov, Guido Dedene
2014 International Journal of General Systems  
Acknowledgements We would like to thank Paul Elzinga for his help in processing of huge amount of text data for building the lattice diagrams. We express our gratitude to Prof.  ...  Radim Belohlavek for his valuable comments and remarks. We are thankful to Prof. Dominik Slezak for his patience and willingness to constantly stimulate us during the research.  ...  concept lattices and applying FCA with fuzzy attributes in domains such as IR, KDD and ontology engineering.  ... 
doi:10.1080/03081079.2013.862377 fatcat:cqcuajzkkbhn5ptoh2zqwg644i

Automatic Subspace Clustering of High Dimensional Data

Rakesh Agrawal, Johannes Gehrke, Dimitrios Gunopulos, Prabhakar Raghavan
2005 Data mining and knowledge discovery  
Clustering analysis is a vibrant field of research intelligence and data mining.  ...  Initially, clustering is applied for enhancing the information retrieval techniques.  ...  Hence, this research concentrates mainly on the semantic clustering based on GA, NDRGA, ACO and fuzzy ontology clustering for better performance.  ... 
doi:10.1007/s10618-005-1396-1 fatcat:t527k7b24vcu5mqtvwwxp3lqsi

The State of the Art in Developing Fuzzy Ontologies: A Survey [article]

Zahra Riahi Samani, Mehrnoush Shamsfard
2018 arXiv   pre-print
The survey is produced by studying about 35 works on developing fuzzy ontologies from a batch of 100 articles in the field of fuzzy ontologies.  ...  Fuzzy ontologies are proposed to offer a way to deal with this uncertainty. This paper describes the state of the art in developing fuzzy ontologies.  ...  Lau and colleagues [65] use fuzzy ontology for the estimation of semantic granularity of documents to improve the effectiveness of IR.  ... 
arXiv:1805.02290v1 fatcat:3rjgsqq35neqtpkivqstc6t524

A Comprehensive Survey on Extractive and Abstractive Techniques for Text Summarization [chapter]

Abhishek Mahajani, Vinay Pandya, Isaac Maria, Deepak Sharma
2019 Msphere  
Clustering analysis is a vibrant field of research intelligence and data mining.  ...  Initially, clustering is applied for enhancing the information retrieval techniques.  ...  Hence, this research concentrates mainly on the semantic clustering based on GA, NDRGA, ACO and fuzzy ontology clustering for better performance.  ... 
doi:10.1007/978-981-13-5934-7_31 fatcat:itcz7ddb3zd5fe36xr2cjp3tqq

Implicit, Formal and Powerful Semantics in Geoinformation

Gloria Bordogna, Cristiano Fugazza, Paolo Acquaviva d'Aragona, Paola Carrara
2021 ISPRS International Journal of Geo-Information  
The prototypical system, has the classic structure of an Information Retrieval System (IRS) [163] , consisting of two main components: the Indexing Module and the Retrieval Module.  ...  Environmental status indicator mapping 5 incomplete (fuzzy) ontology + machine learning exploiting in situ classified data 7 2 task ontology; ontology for modeling; ontology for encoding;  ... 
doi:10.3390/ijgi10050330 fatcat:tscz7fb6evbhdo7fw4lyf3i4yq

An Ontology as a Tool for Representing Fuzzy Data in Relational Databases

Carmen Martinez-Cruz, Ignacio J. Blanco, M. Amparo Vila
2012 International Journal of Computational Intelligence Systems  
The communication channel established between the ontology and any Relational Database Management System (RDBMS) is analysed in depth throughout the text to justify some of the advantages of the system  ...  To get advantage of this, in this paper, an ontology, that represents fuzzy relational database model, has been redefined to communicate users or applications with fuzzy data stored in fuzzy databases.  ...  Finally, we are specially grateful to Jose María Serrano Chica for his support with the FuzzyQueries2 tool.  ... 
doi:10.1080/18756891.2012.747663 fatcat:xxa7o2ha3rad3g755ga75j7cdu

Dualistic Ontologies

F.A. Grootjen, Th.P. van der Weide
2005 International Journal of Intelligent Information Technologies  
To effectively use and share knowledge among AI systems, a formal specification of the representation of their shared domain of discourse -called an ontology -is indispensable.  ...  Then we relate this formal definition to three different (well known) kinds of ontologies, based on the vector model, on formal concept analysis and on fuzzy logic respectively.  ...  The fuzzy model provides the opportunity to balance between granularity and cost of computation.  ... 
doi:10.4018/jiit.2005070103 fatcat:fjhd6kxfqjerdnv4jjwf3q45ca

Towards knowledge modeling and manipulation technologies: A survey

Andrew Thomas Bimba, Norisma Idris, Ahmed Al-Hunaiyyan, Rohana Binti Mahmud, Ahmed Abdelaziz, Suleman Khan, Victor Chang
2016 International Journal of Information Management  
A system which represents knowledge is normally referred to as a knowledge based system (KBS).  ...  A promising technique for knowledge-based business management and other knowledge related applications is also discussed.  ...  Fuzzy Rule-Based System Fuzzy sets are used in representing knowledge in a fuzzy rule-based system (Cordón, 2011) .  ... 
doi:10.1016/j.ijinfomgt.2016.05.022 fatcat:hrvswtcsxzdgxdlhim4xtfggkm

A Review On Important Aspects Of Information Retrieval

Yogesh Gupta, Ashish Saini, A.K. Saxena
2014 Zenodo  
The research work is going on various aspects of information retrieval systems so as to improve its efficiency and reliability.  ...  [81] presented a method for mining additional query terms for query expansion. Michel and Annabelle [82] proposed an IR model using the fuzzy proximity degree of term occurrences. Chang et al.  ...  Li and Agrawal [66] used multi-granularity indexing and query processing for supporting the web query expansion and Wei et al.  ... 
doi:10.5281/zenodo.1336508 fatcat:gmyzki3nwng7bfmzs7pzvp4fse

Recommender system application developments: A survey

Jie Lu, Dianshuang Wu, Mingsong Mao, Wei Wang, Guangquan Zhang
2015 Decision Support Systems  
recommender systems for real-world applications becoming apparent.  ...  Various recommender system techniques have been proposed since the mid-1990s, and many sorts of recommender system software have been developed recently for a variety of applications.  ...  [50] developed a fuzzy linguistic-based recommender system combining CB filtering and the multi-granular fuzzy linguistic modeling technique, which is useful for assessing different qualitative concepts  ... 
doi:10.1016/j.dss.2015.03.008 fatcat:y4phvn677zaondsbjkn56orxt4
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