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Knowledge Management in MCDA Domain

Jarosław Wątróbski, Jarosław Jankowski
2015 Proceedings of the 2015 Federated Conference on Computer Science and Information Systems  
Multi-criteria decision analysis (MCDA) methods have become increasingly popular in decision-making.  ...  In order to achieve a high level of practicality on different levels of decision making, the ontology as a form of conceptualization is implemented.  ...  [35] SMART Ranking of variants based on the aggregation of partial form of additive utility function.  ... 
doi:10.15439/2015f295 dblp:conf/fedcsis/WatrobskiJ15 fatcat:ev4p5ljvbrhgjpg5mjoy6ykhwi

A multi-criteria context-sensitive approach for social image collection summarization

Zahra Riahi Samani, Mohsen Ebrahimi Moghaddam
2018 Sadhana (Bangalore)  
We use social network infrastructure to identify attractiveness features and domain ontology for extracting ontology features.  ...  Social images; social networks; image collection summarization; ontology and knowledge based systems.  ...  Combining ontology features with attractiveness features is done simply by the weighted average approach. There exist more advance techniques in multi-criteria ranking or rank aggregation.  ... 
doi:10.1007/s12046-018-0908-9 fatcat:lgn7g6hokfed3f7zhmb6moqoxy

Solving multi-criteria group decision making problems under environments with a high number of alternatives using fuzzy ontologies and multi-granular linguistic modelling methods

J.A. Morente-Molinera, G. Kou, R. González-Crespo, J.M. Corchado, E. Herrera-Viedma
2017 Knowledge-Based Systems  
Concretely, fuzzy ontologies reasoning procedures are used in order to automatically obtain the alternatives ranking classification.  ...  Thanks to our novel methodology, experts only need to provide the importance of a small set of criteria values making it possible for experts to perform multi-criteria group decision making procedures  ...  A multi-criteria group decision problem consists in creating a ranking on X based on the preferences values provided by the experts: p f j lk . p i j lk refers to the preference value of the alternative  ... 
doi:10.1016/j.knosys.2017.09.010 fatcat:soeojziw2bhy3dqlof4fscm44e

Hidden information retrieval and evaluation method and tools utilising ontology reasoning applied for financial fraud analysis

Mariusz Chmielewski, Piotr Stąpor, N. Mastorakis, V. Mladenov, A. Bulucea
2018 MATEC Web of Conferences  
These scenarios and schemes are implemented by the analysts using ontology-based constructs.  ...  The method combines algorithms for data aggregation and logic reasoning utilising concrete financial data. As an outcome method supports suspicious behaviour recognition of money loundering schemes.  ...  Fig. 4 . 4 Multi-criteria semantic association ranking, evaluation of instance data based on their terminology importance measures: CCTM -Concept Capacity Taxonomy Measure, ACCTM -Absolute CCTM, SSCM -  ... 
doi:10.1051/matecconf/201821002019 fatcat:cp3xblbpjfhvtexs3nhjhxsumq

Optimizing Ontology Alignments through NSGA-II without Using Reference Alignment

Xingsi Xue, Yuping Wang, Weichen Hao, Juan Hou
2014 Computing and informatics  
In our approach, an adaptive aggregation strategy is presented to improve the efficiency of optimizing process and two approximate evaluation measures, namely match coverage and match ratio, are introduced  ...  ontology alignment.  ...  MULTI-OBJECTIVE OPTIMAL MODEL FOR OPTIMIZING MULTIPLE ONTOLOGY ALIGNMENTS WITH NO REFERENCE ALIGNMENT In Definition 3, we have defined the ontology alignment process.  ... 
dblp:journals/cai/XueWHH14 fatcat:q2xuezfofnbfznovir3u3sfxli

Efficient Ontology Meta-Matching Using Alignment Prescreening Approach and Gaussian Random Field Model assisted NSGA-II

Xingsi Xue
2017 Journal of Information Hiding and Multimedia Signal Processing  
In this paper, we propose an efficient NSGA-II based ontology meta-matching technology to improve the efficiency of NSGA-II based ontology meta-matching technology.  ...  Multi-Objective Evolutionary Algorithm (MOEA) is emerging as a new methodology to tackle the ontology meta-matching problem.  ...  Multi-Objective Ontology Meta-matching.  ... 
dblp:journals/jihmsp/Xue17 fatcat:arckzyfrtzghrpvfwq2al27hfy

Review-aggregated aspect-based sentiment analysis with ontology features

Sophie de Kok, Linda Punt, Rosita van den Puttelaar, Karoliina Ranta, Kim Schouten, Flavius Frasincar
2018 Progress in Artificial Intelligence  
Furthermore, we focus on semantic enrichment by employing ontology features in determining the sentiment value of a given pair of review and aspect.  ...  We show that the ontology features are important to correctly determine the sentiment of aspects and that the pure review-level algorithm outperforms the sentence aggregation method.  ...  The optimal value of the importance score for the ontology concept score feature adaptor is equal to m = 5.0, and the optimal value of the parameter k for the word window feature adaptor is k = 1.  ... 
doi:10.1007/s13748-018-0163-7 fatcat:zztmd5ruebauhmyebjzcw53vk4

Semantic Guided Interactive Image Retrieval for plant identification

Filipe Marcel Fernandes Gonçalves, Ivan Rizzo Guilherme, Daniel Carlos Guimarães Pedronette
2018 Expert systems with applications  
For the semantic model, we developed a domain ontology which represents the plant properties and structures, relating features from Angiosperm families.  ...  This work proposes a novel graph-based approach denominated Semantic Interactive Image Retrieval (SIIR) capable of combining Content Based Image Retrieval (CBIR), unsupervised learning, ontology techniques  ...  Acknowledgments The authors are grateful to CAPES (Coordination for Higher Education Staff Development), and São Paulo Research Foundation -FAPESP (Grant 2013/08645-0 ).  ... 
doi:10.1016/j.eswa.2017.08.035 fatcat:3hvxenhhefgplo4ppszlsc77va

Building a relatedness graph from Linked Open Data: A case study in the IT domain

Tommaso Di Noia, Vito Claudio Ostuni, Jessica Rosati, Paolo Tomeo, Eugenio Di Sciascio, Roberto Mirizzi, Claudio Bartolini
2016 Expert systems with applications  
In such applications, the notion of relatedness between entities plays an important role whenever, given a query, we are looking not only for exact answers but we are also interested in a ranked list of  ...  Our final aim is to create a useful data structure at the basis of an expert system that, looking for an IT resource, returns a ranked list of related technologies, languages, tools the user might be interested  ...  As for ranking aggregation, the unsupervised approach for features aggregation based on Borda count is able to compute relatedness values without the need of a training set.  ... 
doi:10.1016/j.eswa.2015.08.038 fatcat:mq7ara4eifbujae3jajq2jasje

Knowledge-based Cybernetics in decision support system based on subjective intelligence

Hamido Fujita
2013 2013 IEEE 11th International Symposium on Intelligent Systems and Informatics (SISY)  
The both aggregate functions as well as the physical ontology aggregate functions are aligned on medical knowledge based for producing aligned inquiry for reasoning in medical knowledge.  ...  The VDS project used two physical ontology model and mental ontology model aligned on medical ontology for reasoning.  ...  We have employed combination of Fuzzy geometric aggregation for attributes for representing Physical ontology of VDS (Subjective attributes).  ... 
doi:10.1109/sisy.2013.6662565 dblp:conf/sisy/Fujita13 fatcat:q5rcazr32neuppgpldqk5qrygq

An Ontological Multi-Agent System for Web FAQ Query

Sheng-Yuan Yang
2007 2007 International Conference on Machine Learning and Cybernetics  
This paper expresses the results of our research in developing a multi-agent system: FAQ-master as an intelligent Web information integration system based upon intelligent retrieval, filtering, integration  ...  The system is implemented as four agents working together through an ontology-supported content base.  ...  Acknowledgments The authors would like to thank Ying-Hao Chiu, Yai-Hui Chang, Pen-Chin Liao, Fang-Chen Chuang and Chung-Min Wang for their assistance in system implementation.  ... 
doi:10.1109/icmlc.2007.4370655 fatcat:7jreymktdjf6lhzfhdai5iml6i

An Intelligent Content Discovery Technique for Health Portal Content Management

Daswin De Silva, Frada Burstein
2014 JMIR Medical Informatics  
Continuous content management of health information portals is a feature vital for its sustainability and widespread acceptance.  ...  The construction of multi-dimensional search queries with input from Wordnet, the use of multi-word and single-word terms as representative semantics for text analytics and the use of fuzzy multi-criteria  ...  It generates a list of multi-word terms ranked by the NC-value. The NC-value is a weighted summation of context information and the C-value ( Figure 5 ).  ... 
doi:10.2196/medinform.2671 pmid:25654440 pmcid:PMC4288068 fatcat:bix4ultcjreltpo74ofu23sjpe

Integrating semantic Web services ranking mechanisms using a common preference model

José María García, Martin Junghans, David Ruiz, Sudhir Agarwal, Antonio Ruiz-Cortés
2013 Knowledge-Based Systems  
Consequently, applying a single mechanism to a particular scenario constrains the user to define preferences based on that mechanism's facilities.  ...  In order to overcome these issues, we propose a Preferencebased Universal Ranking Integration (PURI) framework that enables the combination of several ranking mechanisms using a common, holistic preference  ...  Ontology-based Feature Aggregation for Multivalued Ranking The first approach ranks services based on objective features of Web services that can be automatically crawled and monitored [44] .  ... 
doi:10.1016/j.knosys.2013.04.007 fatcat:7yib2rr6hzb7hagila5xewsyeq

Creating knowledge databases for storing and sharing people knowledge automatically using group decision making and fuzzy ontologies

J.A. Morente-Molinera, I.J. Pérez, M.R. Ureña, E. Herrera-Viedma
2016 Information Sciences  
In this paper, an automatized method for retrieving the subjective Internet users information and creating ontologies is described.  ...  Ontologies were designed in an effort to sort and categorize all sorts of information.  ...  [40] used modular fuzzy ontologies for change management purposes, and Bobillo and Straccia [13] extended their fuzzyDL software [12] with features for handling fuzzy integrals.  ... 
doi:10.1016/j.ins.2015.08.051 fatcat:ytbqjvyjrrfnzkn6tktopwmv4u

An Ontology Selection and Ranking System Based on the Analytic Hierarchy Process

Adrian Groza, Irina Dragoste, Iulia Sincai, Ioana Jimborean, Vasile Moraru
2014 2014 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing  
Selecting the desired ontology from a collection of available ones is essential for ontology reuse.  ...  We address the problem of evaluating, ranking and selecting ontologies according to user preferences.  ...  ACKNOWLEDGMENTS We thank the reviewers for their valuable comments.  ... 
doi:10.1109/synasc.2014.47 dblp:conf/synasc/GrozaDSJM14 fatcat:qxcldxstkzbmre2ynnnce2hcmq
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