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A Systematic Mapping with Bibliometric Analysis on Information Systems Using Ontology and Fuzzy Logic

Diana Kalibatiene, Jolanta Miliauskaitė
2021 Applied Sciences  
Consequently, there is a need to provide a comprehensive systematic mapping study (SMS) to build a structure on the ontology- and fuzzy-based IS field of interest and to grasp the main ideas.  ...  The ontology-based information systems (IS) development is beneficial for analyzing, conceptual modeling, designing, and re-engineering complex IS to be semantically enriched and suitable for sophisticated  ...  Sci. 2021, 11, x FOR PEER REVIEW 13 of 21 Figure 6 . The country map on the ontology-and fuzzy-based IS topic generated from WoS.  ... 
doi:10.3390/app11073003 fatcat:dg6vlqmxeveyxcfkzvvebdhh7a

A fuzzy similarity based approach for intelligent web based e-learning [article]

B. Senthilnayaki, K. Venkatalakshmi, A. Kannan
2013 arXiv   pre-print
The salient contributions of this paper are the use of Jaccard Similarity, fuzzy approach for ontology alignment and K-Means clustering algorithm for decision making using decision rules for providing  ...  In this paper, an intelligent system for web based e-Learning is proposed which analyzes students knowledge capacity by applying clustering technique.  ...  This system maps the similarity of two ontologies into a new ontology [5] . A methodology of ontology mapping proposed in [3] is based on similarity measurement by Jaccard's coefficient as well.  ... 
arXiv:1302.1971v1 fatcat:rooxqxwigrcd3jtoxqhjd7oajq

Domain specific concept ontologies and text summarization as hierarchical fuzzy logic ranking indicator on malay text corpus

Shaiful Bakhtiar Bin Rodzman, Normaly Kamal Ismail, Nurazzah Abd Rahman, Syed Ahmad Aljunid, Zulhilmi Mohamed Nor, Ahmad Yunus Mohd Noor
2019 Indonesian Journal of Electrical Engineering and Computer Science  
A Hierarchical Fuzzy Logic Controller of Mamdani-type Fuzzy Inference System has been built to define the ranking function, based on the Malay Information retrieval's BM25 Model.  ...  of ontology in text retrieval.  ...  The rule base will apply the Mamdani Type Rules of Fuzzy Logic.  ... 
doi:10.11591/ijeecs.v15.i3.pp1527-1534 fatcat:otlqlambrrekvpqyp7wrgympau

An IoT Knowledge Reengineering Framework for Semantic Knowledge Analytics for BI-Services

Nilamadhab Mishra, Hsien-Tsung Chang, Chung-Chih Lin
2015 Mathematical Problems in Engineering  
Thus, reengineering a superseded knowledge base into a renovated knowledge base system can yield greater business value and is more cost effective and feasible than standardising a new system for the same  ...  Such a superseded knowledge base lacks adequate knowledge context scenarios, and the semantics, rules, frames, and ontology contents may not meet the latest requirements of contemporary BI-services.  ...  Analyse and alter rule ontology-this step defines the ontology mechanism based on complex fuzzy rules.  ... 
doi:10.1155/2015/759428 fatcat:ofdmfboghbh5hk3m7nivhwfjia

Towards Intelligent Ontology Alignment Systems for Question Answering: Challenges and Roadblocks

Maria Vargas-Vera, Miklos Nagy
2010 Journal of Emerging Technologies in Web Intelligence  
mapping systems.  ...  In our context (ontology mapping for question answering), we have identified five critical and interrelated challenges that can be considered as roadblocks for future successful mapping frameworks.  ...  Fuzzy systems map the inputs to the outputs by a set of condition → action rules i.e. rules that can be expressed in If − T hen form.  ... 
doi:10.4304/jetwi.2.3.244-257 fatcat:w6cgsdzyxfgp3dydaedu57u5hm

Context Based Classification of Reviews Using Association Rule Mining, Fuzzy Logics and Ontology

Razia Sulthana A, Subburaj Ramasamy
2017 Bulletin of Electrical Engineering and Informatics  
It is a challenging task to summarize and streamline the online textual reviews. In this paper, we propose a new framework called Fuzzy based contextual recommendation system.  ...  The relationship between review and their context is compared using the semantic analyzer which is based on the fuzzy rules.  ...  In [7] a system for product recommendation based on the domain ontology is proposed with sentiment analysis of the tagged word.  ... 
doi:10.11591/eei.v6i3.682 fatcat:mnxt35mjfzhfhh2pmtovfy4c6m

Introducing Fuzzy Trust for Managing Belief Conflict over Semantic Web Data

Miklos Nagy, Maria Vargas-Vera, Enrico Motta
2008 International Semantic Web Conference  
In this paper we propose a solution for managing this conflict by introducing trust between the mapping agents based on the fuzzy voting model.  ...  One such application area of the Semantic Web is ontology mapping where different similarities have to be combined into a more reliable and coherent view, which might easily become unreliable if the conflicting  ...  similarities in our ontology mapping system.  ... 
dblp:conf/semweb/NagyVM08 fatcat:22o2dc4yazhhplhjpriavm7n24

Uncertainty Reasoning for the Semantic Web [chapter]

Thomas Lukasiewicz
2009 Lecture Notes in Computer Science  
A fuzzy dl-program KB = (L, P) consists of a fuzzy description logic knowledge base L and a finite set of fuzzy dl-rules P.  ...  Example The following two mappings have been created by the hmatch system for mapping the CRS Ontology (O 1 ) on the EKAW Ontology (O 2 ): EarlyRegisteredParticipant(X ) ← Participant(X ) ; LateRegisteredParticipant  ... 
doi:10.1007/978-3-642-05082-4_3 fatcat:ojaedt2s6jc2jmocn2ie2ewejy

Uncertainty Reasoning for the Semantic Web [chapter]

Thomas Lukasiewicz
2017 Lecture Notes in Computer Science  
A fuzzy dl-program KB = (L, P) consists of a fuzzy description logic knowledge base L and a finite set of fuzzy dl-rules P.  ...  Example The following two mappings have been created by the hmatch system for mapping the CRS Ontology (O 1 ) on the EKAW Ontology (O 2 ): EarlyRegisteredParticipant(X ) ← Participant(X ) ; LateRegisteredParticipant  ... 
doi:10.1007/978-3-319-61033-7_8 fatcat:hszvhxxiind3pjxrw6d6rnmmse

Content Provisioning for Ubiquitous Learning

Zhiwen Yu, Yuichi Nakamura, Daqing Zhang, Shoji Kajita, Kenji Mase
2008 IEEE pervasive computing  
The context-aware and QoS-enabled approach described here uses a knowledge-based semantic recommendation method, a fuzzy logic-based decision-making strategy, and an adaptive QoS mapping mechanism to support  ...  interoperability and sharing, we designed three ontologies: a context ontology, a learning content ontology, and a domain ontology.  ...  , under the projects of "development of Fundamental Software technologies for digital Archives" and "cyber Infrastructure for the Information-Explosion Era."  ... 
doi:10.1109/mprv.2008.69 fatcat:66yixg7wl5hg3matnmycbx6eyy

Capability-oriented architectural analysis method based on fuzzy description logic

Zhang Tingting, Liu Xiaoming, Wang Zhixue, Dong Qingchao
2016 Computer Science and Information Systems  
The paper introduces a method for modeling architectural requirements in a way of ontology-based and capabilityoriented requirements elicitation.  ...  An algorithm is provided to transform the fuzzy UML models into the fuzzy Description Logics ontology for model verification. A case study is given to demonstrate the applicability of the method.  ...  Based on the above classification, the domain-general rules are added in f-SHIN system in following way, forming the domain-general rule base.  ... 
doi:10.2298/csis150222046t fatcat:sg6k6qavnrhihlrswl7gvakn3m

An adaptive rule-based approach for managing situation-awareness

Mario G.C.A. Cimino, Beatrice Lazzerini, Francesco Marcelloni, Alessandro Ciaramella
2012 Expert systems with applications  
In this framework, we propose a robust and general rule-based approach to manage situation awareness.  ...  The system is evaluated by means of a real-world case study concerning resource recommendation. Experimental results show the effectiveness of the proposed approach.  ...  Prato (Italy) for financial and technical support.  ... 
doi:10.1016/j.eswa.2012.03.014 fatcat:2cmnn4dblrczfolma4rabj6psi

Fuzzy Ontology-Based Sentiment Analysis of Transportation and City Feature Reviews for Safe Traveling [article]

Farman Ali, D. Kwak, Pervez Khan, S.M. Riazul Islam, K.H. Kim, and K.S. Kwak
2017 arXiv   pre-print
In this regard, this paper proposes fuzzy ontology-based sentiment analysis and SWRL rule-based decision-making to monitor transportation activities and to make a city- feature polarity map for travelers  ...  A fuzzy ontology and an intelligent system prototype are developed by using Prot\'eg\'e OWL and Java, respectively.  ...  Acknowledgement This research was supported by a grant (12-TI-C01) from the Advanced Water Management Research Program funded by Ministry of Land, Infrastructure, and Transport of the Korean government  ... 
arXiv:1701.05334v1 fatcat:7oaun5dcurdjlminhrgvvkst6e

A Comprehensive Fuzzy Ontology-Based Decision Support System for Alzheimer's Disease Diagnosis

Nora Shoaip, Amira Rezk, Shaker El-Sappagh, Louai Alarabi, Sherif Barakat, Mohammed Elmogy
2020 IEEE Access  
It is a comprehensive semantic knowledge base toward the development of fuzzy ontology-based CDSS for AD diagnosis.  ...  INDEX TERMS Fuzzy ontology, clinical decision support system, Alzheimer's disease, knowledge based, Mild COGNITIVE impairment, ontology representation.  ...  Elmogy is a professional member of the ACM Society. He has served as a Reviewer for various international journals. He served as a Technical Program Committee Member in many workshops and conferences.  ... 
doi:10.1109/access.2020.3048435 fatcat:asxbpuhffvebjnhkzoi57hswki

Generating Ontologies from Relational Data with Fuzzy-Syllogistic Reasoning [chapter]

Bora İ. Kumova
2015 Communications in Computer and Information Science  
Fuzzy-syllogistic reasoning with the fuzzy-syllogistic system 4 S provides 2048 possible fuzzy inference schema for every possible triple concept relationship of an ontology.  ...  can be used as one generic fuzzy reasoner for quantified ontologies.  ...  Here we propose the fuzzy-syllogistic (FS) reasoning system as a common logic for ontology reasoning.  ... 
doi:10.1007/978-3-319-18422-7_2 fatcat:uufri3e6zng2xp3sw6gjebcdaq
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