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Rough Sets in Perception-Based Computing [chapter]

Andrzej Skowron
2005 Lecture Notes in Computer Science  
approximated using sensor measurements to concepts, expressed by human beings in natural language, that are the perception results [42] .  ...  The concept approximation problem is the basic problem investigated in machine learning, pattern recognition [14] and data mining [17] .  ...  Information granule calculi based on rough sets have been proposed as tools making it possible to solve this problem. We discuss ontology approximation in the granular computing framework.  ... 
doi:10.1007/11590316_3 fatcat:dhudbqll6zexpjr6p7xlc3nlyi

Approximate Reasoning in MAS: Rough Set Approach

Andrzej Skowron
2006 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology  
We propose another approach to approximation of Q(s, a) based on ontology approximation.  ...  In particular, we present a number of basic concepts such as approximation spaces, concept approximation, rough inclusion, construction of information granules in calculi of information granules, and perception  ... 
doi:10.1109/iat.2006.38 dblp:conf/iat/Skowron06 fatcat:hceu4eympjem7cltvv4ipc73oa

Approximate Reasoning in MAS: Rough Set Approach

Andrzej Skowron
2006 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06)  
We propose another approach to approximation of Q(s, a) based on ontology approximation.  ...  In particular, we present a number of basic concepts such as approximation spaces, concept approximation, rough inclusion, construction of information granules in calculi of information granules, and perception  ... 
doi:10.1109/wi.2006.43 fatcat:ey4peluof5aorkc7hvzvwxmovi

Data-Driven Granular Computing Systems and Applications

Ruidan Su, George Panoutsos, Xiaodong Yue
2020 Granular Computing  
Ivo Düntsch et.al present Measures and approximations using empirical structures that demonstrates the process of analyzing data based on observed granules according to a model proposed by G.  ...  based on quotient space theory.  ... 
doi:10.1007/s41066-020-00222-6 fatcat:ockd3jhe7favvnookoreowbkti

Rough sets: Some extensions

Zdzisław Pawlak, Andrzej Skowron
2007 Information Sciences  
In this article, we present some extensions of the rough set approach and we outline a challenge for the rough set based research.  ...  The approach is based on hierarchical learning and ontology approximation [8, 36, 41, 70] . Approximation of concepts in distributed environments is discussed in [66] .  ...  The rough mereological approach [41, 55, 56, 58] is based on calculi of information granules for constructing compound concept approximations.  ... 
doi:10.1016/j.ins.2006.06.006 fatcat:brik2txle5a6xf2d326upkqtea

Granular computing applied to ontologies

Silvia Calegari, Davide Ciucci
2010 International Journal of Approximate Reasoning  
Each level is usually represented by 'chunks' of data or granules, also known as information granules. Rough Set Theory is one of the most widely used methodologies for handling or defining granules.  ...  Then these operations are used to have various views of an ontology built with a rough-set approach.  ...  Furthermore, in [6] a ''set-based" ontology is built from an approximation space.  ... 
doi:10.1016/j.ijar.2009.11.006 fatcat:iymllecnqfcddiiwwt2ich577u

Research on domain ontology in different granulations based on concept lattice

Xiangping Kang, Deyu Li, Suge Wang
2012 Knowledge-Based Systems  
ontology base in different granulations.  ...  This paper introduces concept lattice and granular computing into ontology learning, and presents a unified research model for ontology building, ontology merging and ontology connection based on the domain  ...  base, in the following, an axiomatic definition of knowledge granulation in the domain ontology base is introduced.  ... 
doi:10.1016/j.knosys.2011.09.016 fatcat:6yiqwbhjvnfrnnxetok5tmo7y4

Comparative Approaches to Granularity in General Rough Sets [chapter]

A. Mani
2020 Lecture Notes in Computer Science  
Further related concepts of granules and granulations may be incompatible in many senses.  ...  These have been grouped based on their role relative to approximations and ontology, and are known to have a central role in defining possible concepts of granules.  ...  The possible implications of the mereological overlap and underlap relations between granules is captured by these axioms.  ... 
doi:10.1007/978-3-030-52705-1_37 fatcat:mll3vrtu7rbnvm4km5tacw2q5y

Wisdom Technology: A Rough-Granular Approach [chapter]

Andrzej Jankowski, Andrzej Skowron
2009 Lecture Notes in Computer Science  
We propose another approach to the approximation of Q(s, a) based on ontology approximation.  ...  It is a different approach from the ontology of modern mathematics (also known as Cantor ontology), which is based on the relation being an element-of.  ... 
doi:10.1007/978-3-642-04735-0_1 fatcat:nubs2htmkncsvnurxrezyiql5i

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.  ...  Based on the notion of semantic information granulation, a novel computational model is developed to estimate the semantic granularity of documents; these documents can then be ranked according to the  ...  In addition, a novel method was proposed to capture the evolving patterns in order to refine the initially discovered ontology.  ... 
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.  ...  Based on the notion of semantic information granulation, a novel computational model is developed to estimate the semantic granularity of documents; these documents can then be ranked according to the  ...  In addition, a novel method was proposed to capture the evolving patterns in order to refine the initially discovered ontology.  ... 
doi:10.1080/18756891.2011.9727763 fatcat:qck4byizgbemzlssdyglwmwnpq

Enforcing situation awareness with granular computing: a systematic overview and new perspectives

Vincenzo Loia, Giuseppe D'Aniello, Angelo Gaeta, Francesco Orciuoli
2016 Granular Computing  
Fuzzy Cognitive Maps, Fuzzy Formal Concept Analysis, Dempster-Shafer Theory of Evidence, Ontologies, Knowledge Reasoning, Evolutionary Computing, Intelligent Agents) can be employed to implement such systems  ...  With respect to this issue, Granular Computing is an information processing theory for using "granules" (e.g. subsets, intervals, fuzzy sets) effectively to build an efficient computational model for dealing  ...  Based on the rough set theory, authors use the concept of approximation spaces that are fundamental granules used in searching for relevant complex granules called as data models, that approximate more  ... 
doi:10.1007/s41066-015-0005-y fatcat:crqtymj6jncbtowit34fl5whnu

On augmenting database design-support environments to capture the geo-spatio-temporal data semantics

Vijay Khatri, Sudha Ram, Richard T. Snodgrass
2006 Information Systems  
We show how segregating "what" from "when/where" via annotations is straightforward to implement, satisfies ontology-and cognition-based requirements, dovetails with existing database design methodologies  ...  We describe a database design-support environment that exemplifies our spatio-temporal conceptual design approach: (i) first capture current reality using a conventional conceptual model without considering  ...  We propose intuitive ontology-based dialog panels in DISTIL, which comprehensively capture the semantics related to space and time.  ... 
doi:10.1016/j.is.2004.10.001 fatcat:zl77pg6sj5cvrb3ziycmlbwldq

Computational resources for identifying and describing proteins driving liquid–liquid phase separation

Rita Pancsa, Wim Vranken, Bálint Mészáros
2021 Briefings in Bioinformatics  
In this survey, we showcase recent advancements in LLPS bioinformatics, focusing on (i) available databases and ontologies that are necessary to describe the studied phenomena and the experimental results  ...  In addition, several dedicated ontologies will surely be required to describe features not captured by existing descriptions.  ...  Finally, polymer physics-based methods excel at capturing global behaviour of disordered regions and describing the electrostatic interaction-driven effects.  ... 
doi:10.1093/bib/bbaa408 pmid:33517364 pmcid:PMC8425267 fatcat:ne6fikf7anfirdd637ktb7oyxu

Automatic metadata mining from multilingual enterprise content

Melike Şah, Vincent Wade
2012 Journal of Web Semantics  
parsing algorithms to extract rich metadata from multilingual enterprise content using the newly developed DocBook, Resource Type and Topic ontologies.  ...  Manual annotation of large knowledge bases with such rich metadata is not scalable.  ...  We propose to use a fuzzy based method which is based on fuzzy information granulation; documents are partitioned into semantic parts (semantic granules), each semantic granule is associated with a fuzzy  ... 
doi:10.1016/j.websem.2011.11.001 fatcat:sk7ba4wclffaxnd6d24psppdti
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