Furthermore, the need for handling fuzzy and uncertain information is crucial to the web. Fuzzy logic is a fascinating area of research because it does a good job of. Lm35 temperature sensor sense the current temperature. Combining fuzzy logic and semantic web to enable situationawareness in service recommendation. 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. Swrlf a fuzzy logic extension of the semantic web rule. Semantic web technologies provide a uniform framework for capturing. A tolerance for imprecision, by a positive use of fuzzy logic may be exploited to enhance the power of the semantic web 2, 3. Enhancing semantic search engine by using fuzzy logic in web mining. This is a pdf file of an unedited manuscript that has been accepted for publication. Conventional room air conditioners are controlled by thermostat with targeted temperature and no control over humidity. This book is the first to combine coverage of fuzzy logic and semantic web languages. Pdf the number of people with a chronic disease is rapidly increasing. Enhancing semantic search engine by using fuzzy logic in web.
The web ontology language owl uses again a different terminology, also given in the. Fuzzy logic and the semantic web zhu 2007 journal of. Machine learning in the internet of things semantic web journal. Soft computing in ontologies and semantic web springerlink. Pdf type2 fuzzy ontologyaided recommendation systems for. Situationaware mobile service recommendation with fuzzy. 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. Semantic web rule language swrl rules and fuzzy logic are employed to. Multimedia annotations and the semantic web ceur workshop. Handling uncertainty thus becomes one of the key research directions in the semantic web community. This upcoming technologies are useful in many fields such as bioinformatics, business collaboration, data integration and etc.
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. 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. Purchase fuzzy logic and the semantic web, volume 1 1st edition. This is different from ltns where the universallyquanti. The aim of ths study is to enhance the desgn evauaton and. However, the most common use of the term reasoning system implies the computer representation of logic. Fuzzy semantic web ontology learning from fuzzy uml model. Another source of confusion is the duality of meaning of fuzzy logic. Despite the existing research work the problem of supplementing sw with fl remains without implemented, generic, publicly available, standardsbased and widely used solution.
Fuzzy description logics fuzzy dls and fuzzy owl have been proposed as languages able to represent and reason about imprecise. 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. Fuzzy description logics combines fuzzy logic with dls. It merges an ontologybased characterization of data distributions with non. 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. Application of fuzzy cognitive maps using semantic web approaches to model medical knowledge e. 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. Applications of fuzzy set theory 9 9 fuzzy logic and approximate reasoning 141 9. Save up to 80% by choosing the etextbook option for isbn. Chapter 4 a fuzzy description logic for the semantic web umberto straccia isticnr, via g. 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. Unlimited viewing of the articlechapter pdf and any associated supplements and figures.
A process control case study rahul malhotra, narinder singh, yaduvir singh many problem domains. In 2, a probabilistic fuzzy logic is used, but not with real semantics. Semantic question answering retrieval system using ontology similarity and. We introduce a type2 fuzzy logic system fls, which can handle rule uncertainties. 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. Foundations of fuzzy logic and semantic web languages provides a rigorous and succinct account of the mathematical methods and tools used for representing an. Fuzzy logic and the semantic web capturing intelligence. The semantic web is an extension of the world wide web through standards set by the world wide web consortium w3c. You can use fuzzy logic toolbox software with matlab technical computing software as a tool for solving problems with fuzzy logic. Introduction low cost temperature control using fuzzy logic system block diagram shown in the fig. The discussion about the philosophical background and the role of fuzzy logic in science has not been finished till now. Like, literally, pretend you were a really great version of pkzip, running continuously on your code, looking for ways to make it semantically smaller. Similar to crisp ontologies, they can serve as basic semantic infrastructure, providing shared understanding of certain domains across di.
An overview of fuzzy description logics for the semantic web. 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. An efficient fuzzy ga flow control of turbine compressor system. The goal of the semantic web is to make internet data machinereadable. But in much broader sense which is in dominant use today, fuzzy logic, or fl for short, is much more than a logical system. When considered in this way, my experience has led me to conclude that the most efficient way to program is to approach your code as if you were a dictionary compressor.
Fuzzy logic is type of computer software that recognizes human emotions from conversion analysis 8. Towards a fuzzy description logic for the semantic web. The implementation of this type2 fls involves the operations of fuzzification, inference, and output processing. The rule structure of both types are the same, except for the antecedent and consequent are of the respective types. Fuzzy logic and the semantic web, volume 1 1st edition elsevier. We further show to which extend we may generalise them to socalled annotation domains, that cover also e. Boolean logic, and the latter 2 is suitable for a fuzzy controller using fuzzy logic. Finally, the obtained results from the simulation will be compared for two cases without controller and with fuzzy logic active controller. To improve the education semantic web, the first step is a semantic question answering system where uncertain words are questions. Swrlf a fuzzy logic extension of the semantic web rule language. This book goes to great depth concerning the fast growing topic of technologies and approaches of fuzzy logic in the semantic web. An efficient fuzzyga flow control of turbine compressor.
Fuzzy logic, knowledge representation, semantic web, rdf, rdf schema. Foundations of fuzzy logic and semantic web languages crc. Situationaware mobile service recommendation with fuzzy logic and semantic web alessandro ciaramella mario g. The book focuses on the three main streams of semantic web languages. A fuzzy set theory corresponds to fuzzy logic and the semantic of fuzzy operators can be understood using a geometric model.
Phrasal graphbased method for abstractive vietnamese paragraph compression. It also helps researchers of non semantic web languages get a better understanding of the theoretical fundamentals of semantic web languages. 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. 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. Semantic web technologies in pervasive computing st andrews.
Fuzzy logic is all about the relative importance of precision. Pdf a very first introduction for readers without a formal logic background. This tutorial will be useful for graduates, postgraduates, and research students who either have an. In a narrow sense, fuzzy logic fln is a logical system an extension of multivalued logic that is.
This book covers in a great depth the fast growing topic of tools, techniques and applications of soft computing e. Increasingly, it is the latter that accounts for what programmers actually spend their time on. 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. A hybrid approach using ontology similarity and fuzzy logic. Resource description framework rdf a variety of data interchange formats e. A fuzzy ontologyapproach to improve semantic information. Zadeh,1 department of eecs, university of california, berkeley, ca 947201776, united states received 8 february 2008. 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. Since it is a fuzzy set, there will be two members in a singleton. Semantic web technologies a set of technologies and frameworks that enable the web of data. Semantic compression i look at programming as having essentially two parts.
It discusses the concepts, tools, techniques, and applications exhibiting the usefulness, and the necessity, of using fuzzy logic in the semantic web. Semantic web, as the theoretical counterpart of owl dl the w3c standard for specifying ontologies, see 9 for details. Towards a fuzzy description logic for the semantic web 169 equal to 20. This is a very small tutorial that touches upon the very basic concepts of fuzzy logic.
Storing and querying fuzzy knowledge in the semantic web. For example, at the initiative of lotfi zadeh and masoud nikravesh, flint meetings fuzzy logic and the internet have been organized by b isc. Fuzzy ontologies are envisioned to be very useful in the semantic web. In fact, fuzzy logic cannot be ignored in order to bridge the gap between humanunderstandable soft logic and machinereadable hard logic.
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. We focus on output processing, which consists of type reduction and defuzzification. 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. 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. A hybrid approach using ontology similarity and fuzzy. Fuzzy logic resembles the human decisionmaking methodology and deals with vague and imprecise information. Fuzzy logic, fuzzy logic controller flc and temperature control system. Resource finding, information selection and preprocessing, generalization and analysis. With regard to fuzzy logic, there is an issue of semantics that is in need of clarification. Straccia, towards a fuzzy description logic for the semantic web, the semantic web. Fuzzy logic, annotation domains and semantic web languages. In a narrow sense, fuzzy logic is a logical system. Foundations of fuzzy logic and semantic web languages.
Logic tensor networks for semantic image interpretation. Fuzzy conceptual graphs for the semantic web, in m. 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. 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 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. We use a fuzzy coclustering algorithm to retrieve collection of. 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. A fuzzy ontology and its application to news summarization. Capturing intelligence fuzzy logic and the semantic web. Storing fuzzy description logic ontology knowledge bases in fuzzy relational. One of the most important uses of fuzzy logic is analysis of pollutants and guide line for water quality improvement 17. Fuzzy logic controller flc was developed to maintain temperature and humidity at set conditions. How important is it to be exactly right when a rough answer will do.
In this paper we present swrlf, a fuzzy logic extension of the semantic web rule language. Temperature and humidity are the inputs of the fuzzy logic control and outputs are the compressor and the fan. Typereduction methods are extended versions of type1 defuzzification methods. 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. Chapter 4 a fuzzy description logic for the semantic web. Fuzzy logic and the semantic web volume 1 capturing. The geometric visualization of fuzzy logic will give us a hint as to the possible connection with neural. Since this book focusses on the mathematical principles of fuzzy logic, it. Rdfxml,n3,turtle,ntriples notations such as rdf schema rdfs and the web ontology language owl all are intended to provide a formal. Introduction during recent years, important initiatives have led to reports of connections between fuzzy logic and the internet.
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. Fuzzy logic and the semantic web, volume 1 1st edition. Fuzzy description logic programs under the answer set. Indeed there has been a natural integration of fuzzy logic in on. Volume 58, issue 14, pages 24092410, issue 14, pages 24092410.
Download foundations of fuzzy logic and semantic web. Request pdf a fuzzy ontology and its application to news. It has been shown that fuzzy logic allows to bridge the gap between humanunderstandable soft logic and machinereadable hard logic. It provides indepth insight into fuzzy semantic web languages for non fuzzy set theory and fuzzy logic experts. Fuzzy logic and the semantic web by sanchez, elie and publisher elsevier science. Unlimited viewing of the articlechapter pdf and any associated supplements. Complement of ax 1 ax complement of a fuzzy set a is a new fuzzy set a complement. To enable the encoding of semantics with the data, technologies such as resource description framework rdf and web ontology language owl are used.
Cimino, beatrice lazzerini, francesco marcelloni imt lucca institute for advanced studies, piazza san ponziano 6, 55100 lucca italy a. General concept inclusions in fuzzy description logics. Enhancing semantic search engine by using fuzzy logic in. Fuzzy logic, semantic web languages, rdfs, owl, rif. Ontologies and semantic web services are the basics of next generation semantic web. Fuzzy set theoryand its applications, fourth edition. Lotfi zadeh, the father of fuzzy logic, claimed that many vhwv in the world that surrounds us are defined by a nondistinct boundary. Application of fuzzy cognitive maps using semantic web. Our aim here is not to give implementation details of the latter, but to use the example to explain the underlying fuzzy logic.
Specifically, it is fre quently not recognized that the term fuzzy logic is actually used in two dif ferent senses. 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. Zadeh, professor for computer science at the university of california in berkeley. Description logics dl are a family of formal knowledge representation languages.
Fuzzy logic and the semantic web article in journal of the american society for information science and technology 5814. Tightly integrated fuzzy description logic programs under the. 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. The method is a way of transforming situations into a form, where decisionmaking rules can be applied. The type reducer transforms the type2 fuzzy output of the inference. Journal of the american society for information science and technology. 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. The present work describes system architecture of a collaborative approach for semantic search engine mining. Fuzzy knowledge management for the semantic web zongmin.
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