The publication capturing intelligence, volume 1, discusses the positive role of fuzzy logic, and soft computing in the development of the semantic web, by filling a gap, and facing a new challenge. This tutorial will be useful for graduates, postgraduates, and research students who either have an. Storing fuzzy description logic ontology knowledge bases in fuzzy relational. It has been shown that fuzzy logic allows to bridge the gap between humanunderstandable soft logic and machinereadable hard logic. It discusses the concepts, tools, techniques, and applications exhibiting the usefulness, and the necessity, of using fuzzy logic in the semantic web. Another source of confusion is the duality of meaning of fuzzy logic. We introduce a type2 fuzzy logic system fls, which can handle rule uncertainties. Fuzzy logic and the semantic web volume 1 capturing. Fuzzy logic is type of computer software that recognizes human emotions from conversion analysis 8. Despite the existing research work the problem of supplementing sw with fl remains without implemented, generic, publicly available, standardsbased and widely used solution. Ontologies and semantic web services are the basics of next generation semantic web.
Unlimited viewing of the articlechapter pdf and any associated supplements. Introduction to fuzzy logic, by franck dernoncourt home page email page 2 of20 a tip at the end of a meal in a restaurant, depending on the quality of service and the quality of the food. Fuzzy logic resembles the human decisionmaking methodology and deals with vague and imprecise information. Enhancing semantic search engine by using fuzzy logic in. Since it is a fuzzy set, there will be two members in a singleton. Capturing intelligence fuzzy logic and the semantic web. Applications of fuzzy set theory 9 9 fuzzy logic and approximate reasoning 141 9. Towards a fuzzy description logic for the semantic web 169 equal to 20.
Description logics dl are a family of formal knowledge representation languages. Boolean logic, and the latter 2 is suitable for a fuzzy controller using fuzzy logic. Like, literally, pretend you were a really great version of pkzip, running continuously on your code, looking for ways to make it semantically smaller. Semantic compression i look at programming as having essentially two parts. Storing and querying fuzzy knowledge in the semantic web. Finally, the obtained results from the simulation will be compared for two cases without controller and with fuzzy logic active controller. Semantic web rule language swrl rules and fuzzy logic are employed to. As the first step, the compressor system is simulated by applying greitzer equation and compressor dynamics, then a fuzzy logic active controller will be designed for this system. Fuzzy logic in compressor fuzzy logic fl, which reflects qualitative and inexact nature of human reasoning, makes it possible to cope with uncertain and complex systems, which are difficult to model mathematically.
Fuzzy conceptual graphs for the semantic web, in m. Apr 23, 2017 the complement of a fuzzy set a is a new fuzzy set a complement, containing all the elements which are in the universe of discourse but not in a, with the membership function. An efficient fuzzy ga flow control of turbine compressor system. Fuzzy logic and the semantic web, volume 1 1st edition. Fuzzy logic will not supposed to be the basis for the semantic web but its related concepts and techniques will certainly reinforce the systems classically developed within w3c. The book focuses on the three main streams of semantic web languages. A tolerance for imprecision, by a positive use of fuzzy logic may be exploited to enhance the power of the semantic web 2, 3. Lm35 temperature sensor sense the current temperature. You can use fuzzy logic toolbox software with matlab technical computing software as a tool for solving problems with fuzzy logic. Multimedia annotations and the semantic web ceur workshop. Furthermore, the need for handling fuzzy and uncertain information is crucial to the web. Straccia, towards a fuzzy description logic for the semantic web, the semantic web.
The discussion about the philosophical background and the role of fuzzy logic in science has not been finished till now. Pdf the number of people with a chronic disease is rapidly increasing. Specifically, it is fre quently not recognized that the term fuzzy logic is actually used in two dif ferent senses. Request pdf a fuzzy ontology and its application to news. Logic tensor networks for semantic image interpretation. Fuzzy logic and the semantic web zhu 2007 journal of. The rule structure of both types are the same, except for the antecedent and consequent are of the respective types. Fuzzy ontologies are envisioned to be very useful in the semantic web. An overview of fuzzy description logics for the semantic web. Save up to 80% by choosing the etextbook option for isbn. The web ontology language owl uses again a different terminology, also given in the. Our aim here is not to give implementation details of the latter, but to use the example to explain the underlying fuzzy logic.
Foundations of fuzzy logic and semantic web languages. Combining fuzzy logic and semantic web to enable situationawareness in service recommendation. Fuzzy logic and the semantic web capturing intelligence. Fuzzy logic, annotation domains and semantic web languages. With regard to fuzzy logic, there is an issue of semantics that is in need of clarification. The present paper proposes an approach based on fuzzy logic active control principles in order to prevent the incident of surge in a typical centrifugal compressor. To implement such as a system, a fuzzy ontology approach can be applied by using fuzzy logic type1 or type2 levels 11 for text retrieval. To enable the encoding of semantics with the data, technologies such as resource description framework rdf and web ontology language owl are used.
Fuzzy description logic programs under the answer set. Soft computing in ontologies and semantic web springerlink. Situationaware mobile service recommendation with fuzzy logic and semantic web alessandro ciaramella mario g. Fuzzy knowledge management for the semantic web zongmin. Fuzzy logic is all about the relative importance of precision. Foundations of fuzzy logic and semantic web languages provides a rigorous and succinct account of the mathematical methods and tools used for representing and reasoning with fuzzy information within semantic. Rdfxml,n3,turtle,ntriples notations such as rdf schema rdfs and the web ontology language owl all are intended to provide a formal. Enhancing semantic search engine by using fuzzy logic in web.
The geometric visualization of fuzzy logic will give us a hint as to the possible connection with neural. In 2, a probabilistic fuzzy logic is used, but not with real semantics. The implementation of this type2 fls involves the operations of fuzzification, inference, and output processing. The present work describes system architecture of a collaborative approach for semantic search engine mining. This book covers in a great depth the fast growing topic of tools, techniques and applications of soft computing e. Pdf type2 fuzzy ontologyaided recommendation systems for.
We focus on output processing, which consists of type reduction and defuzzification. This is different from ltns where the universallyquanti. Semantic question answering retrieval system using ontology similarity and. One of the most important uses of fuzzy logic is analysis of pollutants and guide line for water quality improvement 17. Chapter 4 a fuzzy description logic for the semantic web umberto straccia isticnr, via g.
For example, at the initiative of lotfi zadeh and masoud nikravesh, flint meetings fuzzy logic and the internet have been organized by b isc. Introduction during recent years, important initiatives have led to reports of connections between fuzzy logic and the internet. Indeed there has been a natural integration of fuzzy logic in on. Lotfi zadeh, the father of fuzzy logic, claimed that many vhwv in the world that surrounds us are defined by a nondistinct boundary. Phrasal graphbased method for abstractive vietnamese paragraph compression.
Fuzzy logic controller flc was developed to maintain temperature and humidity at set conditions. Conventional room air conditioners are controlled by thermostat with targeted temperature and no control over humidity. A fuzzy ontologyapproach to improve semantic information. Complement of ax 1 ax complement of a fuzzy set a is a new fuzzy set a complement. To improve the education semantic web, the first step is a semantic question answering system where uncertain words are questions. The term reasoning system can be used to apply to just about any kind of sophisticated decision support system as illustrated by the specific areas described below. The goal of the semantic web is to make internet data machinereadable. Similar to crisp ontologies, they can serve as basic semantic infrastructure, providing shared understanding of certain domains across di. Fuzzy logic and the semantic web, volume 1 1st edition elsevier. But in much broader sense which is in dominant use today, fuzzy logic, or fl for short, is much more than a logical system. We further show to which extend we may generalise them to socalled annotation domains, that cover also e. Semantic web rule language is a combination of the owl dl and owl lite sublanguages with the unarybinary datalog ruleml sublanguages of the rule markup language fuzzy logic is a form of multivalued logic, which derived from the fuzzy set theory introduced by zadeh extends binary set by adding a degree of membership.
This book goes to great depth concerning the fast growing topic of technologies and approaches of fuzzy logic in the semantic web. It merges an ontologybased characterization of data distributions with non. It provides indepth insight into fuzzy semantic web languages for non fuzzy set theory and fuzzy logic experts. Zadeh, professor for computer science at the university of california in berkeley. Handling uncertainty thus becomes one of the key research directions in the semantic web community. Foundations of fuzzy logic and semantic web languages provides a rigorous and succinct account of the mathematical methods and tools used for representing and reasoning with fuzzy information within semantic web languages. Extending fuzzy description logics for the semantic web giorgos stoilos 1and giorgos stamou department of electrical and computer engineering, national technical university of athens, zographou 15780, greece abstract.
Semantic web, as the theoretical counterpart of owl dl the w3c standard for specifying ontologies, see 9 for details. Purchase fuzzy logic and the semantic web, volume 1 1st edition. An efficient fuzzyga flow control of turbine compressor. The main difference between them is that the type2 fuzzy set itself is fuzzy, with a new dimension called the footprint of uncertainty, which characterizes type2 fuzzy logic. Fuzzy logic, knowledge representation, semantic web, rdf, rdf schema. In a narrow sense, fuzzy logic fln is a logical system an extension of multivalued logic that is. The aim of ths study is to enhance the desgn evauaton and. The topics of this book include fuzzy description logics and fuzzy ontologies, queries of fuzzy description logics and fuzzy ontology knowledge bases, extraction of fuzzy description logics and ontologies from.
The method is a way of transforming situations into a form, where decisionmaking rules can be applied. Semantic web technologies provide a uniform framework for capturing. Fuzzy description logics fuzzy dls and fuzzy owl have been proposed as languages able to represent and reason about imprecise. This book is the first to combine coverage of fuzzy logic and semantic web languages. A process control case study rahul malhotra, narinder singh, yaduvir singh many problem domains. Swrlf a fuzzy logic extension of the semantic web rule. Fuzzy logic is a fascinating area of research because it does a good job of. Zadeh,1 department of eecs, university of california, berkeley, ca 947201776, united states received 8 february 2008. The topics of this book include fuzzy description logics and fuzzy ontologies, queries of fuzzy description logics and fuzzy ontology knowledge bases, extraction of fuzzy description logics and ontologies from fuzzy data models, storage of fuzzy ontology knowledge. Resource description framework rdf a variety of data interchange formats e.
Temperature and humidity are the inputs of the fuzzy logic control and outputs are the compressor and the fan. Fuzzy description logics combines fuzzy logic with dls. This paper introduces a fuzzy logic based approach which extends the classic description logic with zadeh semantics to deal with uncertain knowledge about concepts and roles as well as instances of concepts and roles. Journal of the american society for information science and technology. In this paper we present swrlf, a fuzzy logic extension of the semantic web rule language. Semantic web, fuzzy logic, rdf, owl, rif 1 overview managing uncertainty and fuzzyness is starting to play an important role in semantic web research, and has been recognised by a large number of research efforts. A hybrid approach using ontology similarity and fuzzy logic. Fuzzy semantic web ontology learning from fuzzy uml model.
How important is it to be exactly right when a rough answer will do. Towards a fuzzy description logic for the semantic web. Since this book focusses on the mathematical principles of fuzzy logic, it. Unlimited viewing of the articlechapter pdf and any associated supplements and figures. This is a pdf file of an unedited manuscript that has been accepted for publication. Introduction low cost temperature control using fuzzy logic system block diagram shown in the fig. Situationaware mobile service recommendation with fuzzy. Foundations of fuzzy logic and semantic web languages crc. A fuzzy set theory corresponds to fuzzy logic and the semantic of fuzzy operators can be understood using a geometric model. A hybrid approach using ontology similarity and fuzzy.
Semantic web technologies a set of technologies and frameworks that enable the web of data. Tightly integrated fuzzy description logic programs under the. This talk presents a detailed, selfcontained and comprehensive account of the state of the art in representing and reasoning with fuzzy knowledge in semantic web languages such a rdfrdfs, owl 2 and rif and discuss some implementation related issues. Silvia calegari, elie sanchez, a fuzzy ontologyapproach to improve semantic information retrieval, proceedings of the third international conference on uncertainty reasoning for the semantic web, p. Request pdf an overview of fuzzy description logics for the semantic web information imprecision and uncertainty exist in many real world applications, and such information would be retrieved. Application of fuzzy cognitive maps using semantic web approaches to model medical knowledge e. Fuzzy logic and the semantic web article in journal of the american society for information science and technology 5814.
We use a fuzzy coclustering algorithm to retrieve collection of. Formal fuzzy logic 7 fuzzy logic can be seen as an extension of ordinary logic, where the main difference is that we use fuzzy sets for the membership of a variable we can have fuzzy propositional logic and fuzzy predicate logic fuzzy logic can have many advantages over ordinary logic in areas like. Foundations of fuzzy logic and semantic web languages provides a rigorous and succinct account of the mathematical methods and tools used for representing an. This upcoming technologies are useful in many fields such as bioinformatics, business collaboration, data integration and etc. Managing vaguenessfuzziness is starting to play an important role in semantic web research, with a large number of research efforts underway. Download foundations of fuzzy logic and semantic web. Volume 58, issue 14, pages 24092410, issue 14, pages 24092410. Fuzzy dls 15, 18, 23, 24 extend classical dls by allowing to deal with fuzzy vagueimprecise concepts such as candia is a creamy white rose with dark pink edges to the petals, jacaranda. The semantic web is an extension of the world wide web through standards set by the world wide web consortium w3c. However, the most common use of the term reasoning system implies the computer representation of logic. Pdf a very first introduction for readers without a formal logic background. Pdf combining fuzzy logic and semantic web to enable.
Machine learning in the internet of things semantic web journal. Fuzzy set theoryand its applications, fourth edition. Resource finding, information selection and preprocessing, generalization and analysis. A fuzzy ontology and its application to news summarization. The semantics of predicate logic university of waterloo. In fact, fuzzy logic cannot be ignored in order to bridge the gap between humanunderstandable soft logic and machinereadable hard logic. Chapter 4 a fuzzy description logic for the semantic web. It also helps researchers of non semantic web languages get a better understanding of the theoretical fundamentals of semantic web languages.
Fuzzy logic and associated concepts and techniques more generally, soft computing, has certainly a positive role to play in the development of the semantic web. The type reducer transforms the type2 fuzzy output of the inference. Cimino, beatrice lazzerini, francesco marcelloni imt lucca institute for advanced studies, piazza san ponziano 6, 55100 lucca italy a. Fuzzy logic, semantic web languages, rdfs, owl, rif. General concept inclusions in fuzzy description logics. This is a very small tutorial that touches upon the very basic concepts of fuzzy logic. Enhancing semantic search engine by using fuzzy logic in web mining. In a narrow sense, fuzzy logic is a logical system.
Ma, gaofeng fan, xing wang, automatic fuzzy semantic web ontology learning from fuzzy objectoriented database model, proceedings of the 21st international conference on database and expert systems applications. Fuzzy logic, fuzzy logic controller flc and temperature control system. Swrlf a fuzzy logic extension of the semantic web rule language. Using primary concepts of genetic selection, crossover and mutation 7, gas are a stochastic, but directed method of identifying global optima within a problem domainspace. Extending fuzzy description logics for the semantic web. Fuzzy logic and the semantic web by sanchez, elie and publisher elsevier science.
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