In his enthusiastic panegyric of fuzzy logic, kosko 1993 argues that after. 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. Such an approach is sometimes called degreetheoretic semantics by logicians and philosophers, but the more usual term is fuzzy logic or manyvalued logic. Purchase fuzzy logic and the semantic web, volume 1 1st edition. Fuzzy ontologies building platform for semantic web. 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. One of the main features of this framework is the use of ontologies.
In the semantic web, the manipulation of web resources by machine requires the description of these resources. Section 3 describes the motivation and manner in which fuzzy logic technology is applied in the system, followed by the conclusions in section 4. Mar 01, 20 collaborative approach for semantic search engine mining. The linking of elements from semantic web technologies with sensor networks dates back to 2005 and was called semantic sensor nets 7. All main parameters in this proposal is based on the term frequency inverse document frequency tfidf which depends on vsm. 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. Foundations of fuzzy logic and semantic web languages. The aim of this paper is to present an overview of the fuzzy logic based control and its basic difference to the conventional control theory. Efficient semantic web data querying and integration using.
Storing and querying fuzzy knowledge in the semantic web. Exploitation and proposal of the ontology in this field of science seems to be useful. Prometheus framework for fuzzy information retrieval in. We further show to which extend we may generalise them to socalled annotation domains, that cover also e. They propose an owl based ontology of trust related concepts. The conventional methods, such as game theory, are incapable of handling an open environment where the information is sparse and full of uncertainty, while the fuzzy approaches are suitable to elegantly deal with this problem. Cao, fuzzy conceptual graphs for the semantic web, in m.
Towards a fuzzy description logic for the semantic web. Concepts, technologies and applicationskarin breitman 2007 0124 the web is growing at. Submission guidelines journal of logic and computation. The semantic web is an emerging development of the internet in which not only the meaning or semantics of information is defined but also services on the web, making it possible for machines to understand and satisfy the requests of both people and machines. Fuzzy logic, annotation domains and semantic web languages. A semantic web service includes four basic classes, namely service, service profile, service model, and service grounding. 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. Background thousands of products and services are being advertised daily over the web. Any event, process, or function that is changing continuously cannot always be defined as either true or false, which means that we need to define such activities in a fuzzy manner.
Fuzzy logic and the semantic web, volume 1 1st edition. Vojtas, and hedge algebras in order to facilitate the representation and reasoning on human knowledge expressed in natural languages. Fuzzy logic uses an imprecise but very descriptive language to deal with input data more like a human operator. By contrast, in boolean logic, the truth values of variables may only be the integer values 0 or 1. A more detailed description on the applicability of fuzzy semantics for medical applications can be found in 27. Fuzzy semantic search engine falls in the area of information retrieval and semantic web, and aims to improve the evaluation and enhances web search tools. Fuzzy logic and the semantic web, volume 1 1st edition elsevier. Fuzzy logic is nowadays a very popular logic methodology. Furthermore, the need for handling fuzzy and uncertain information is crucial to the web.
Open and closed a fuzzy set a is open left if limx. Fuzzy set theoryand its applications, fourth edition. There are some other mathematical languages also known relational algebra. Keywords fuzzy description logics, fuzzy truth values 1 introduction description logics dls 1, have gained popularity due to their application in the context of the semantic web 2. A fuzzy extension of the semantic building information model.
What might be added is that the basic concept underlying fl is that of a linguistic variable, that is, a variable whose values are words rather than numbers. Fuzzy logic is a mathematical language toexpresssomething. The semantic web is an extension of the web through standards by the world wide web consortium w3c. Tightly integrated fuzzy description logic programs under the. Foundations of fuzzy logic and semantic web languages 1st. Particularly, ontology is part of semantic web and shows the information in such a way that is understandable by the machine. Swrlf a fuzzy logic extension of the semantic web rule language. For risks that do not have an appropriate probability model, a fuzzy logic system can help model the cause and effect relationships, assess the level of risk exposure, rank key risks in a consistent way, and consider available data and expertsopinions. To deal with uncertainty in the semantic web and its applications, many researchers have proposed extending owl and the description logic dl formalisms with special mathematical frameworks. Dl is the main formal underpinning of such diverse kinds of knowledge representation formalisms as semantic nets, framebased systems, and others. A hybrid approach using ontology similarity and fuzzy. Observations on using type2 fuzzy logic for reducing. Researchers have proposed probabilistic,1 possibilistic,2 and fuzzy extensions, 35 among others. Selfreference and chaos in fuzzy logic fuzzy systems, ieee.
Fuzzy extensions of dls have been studied for more than a decade, and the literature on the topic is very extensive see 26 for a survey. Enhancing semantic search engine by using fuzzy logic in web. The fuzzy voting model was developed by baldwin 4 and has been used in fuzzy logic applications. If machines could understand the content of web pages, searches with high precision and recall would be possible. Fuzzy ontologies are envisioned to be very useful in the semantic web. To enable the encoding of semantics with the data, technologies such as resource description framework rdf 2 and web ontology language owl 3 are used. In fuzzy linguistic logic programming, truth values are linguistic ones, e. A hybrid approach using ontology similarity and fuzzy logic. Applications of fuzzy logic in daily life semantic scholar.
This book goes to great depth concerning the fast growing topic of technologies and approaches of fuzzy logic in the semantic web. Proceedings of the 11th conference of the european society for fuzzy logic and technology eusflat. Reliability estimation is an essential part of the semantic web architecture, and many research work focus on issues such as source authentication, reputation, etc. Fuzzy logic semantic web activity detection wireless multimedia sensor networks. Rdfs provides basic elements for the description of ontologies with resource description framework rdf. Fuzzy logic with evaluated syntax sometimes also called pavelkas logic, denoted by evl, is a further generalization of mathematical fuzzy logic. Sep 20, 2020 fuzzy logic systems help to make largescale risk management frameworks more simple. The goal of the semantic web is to make internet data machinereadable. Fuzzy logic uses the whole interval between 0false and 1trueto describe human reasoning. Quantifying uncertainty in risk assessment using fuzzy theory. In fact, fuzzy logic cannot be ignored in order to bridge the gap between humanunderstandable soft logic and machinereadable hard logic. For example, advocates a multifaceted approach to trust models.
Fuzzy logic, annotation domains and semantic web languages umberto straccia isticnr, pisa, italy. Capturing intelligence fuzzy logic and the semantic web. Comparison of a deductive database with a semantic web. Fuzmod algorithmthe core of the discovery system is a matching process. Opinion, opinion mining, sentiment analysis, fuzzy logic, semantic orientation, subject and objective information 1. This means the concept is vague in some way, lacking a fixed, precise meaning, without however being unclear or meaningless altogether. 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 artificial intelligence where a simple truefalse statement is. In 2008 a framework named semantic sensor web 8 was proposed. It is employed to handle the concept of partial truth, where the true value may range between completely true and completely false. In fuzzy mathematics, fuzzy logic is a form of manyvalued logic in which the truth value of variables may be any real number between 0 and 1 both inclusive. While the above kinds of fuzzy logic have traditional syntax and manyvalued semantics, in evl is evaluated also syntax. Several languages have been defined for this purpose, as rdf schema abbreviated as rdfs, rdfs, rdfs or rdfs which represents an extensible knowledge representation language.
It is estimated that 75,000 new blogs emerge daily with 1. The proposed negotiation agent model is particularly suitable to open environments, such as the internet. Fuzzy sets and fuzzy logic are, among other things, about including human subjectivity and approximate reasoning nature in a mathematical theory of complex and uncertain information. However, to our knowledge it has not been introduced in the context of trust management on the semantic web. In this paper, we present a fuzzy logic based extension of such semantic bims that provides support for imprecise knowledge representation and retrieval. The unstructured design of web resources favors human comprehension, but makes difficult the automatic exploitation of the contents of these resources by. Towards a fuzzy description logic for the semantic web preliminary report u. The standards promote common data formats and exchange protocols on the web, most fundamentally the resource description framework rdf according to the w3c, the semantic web provides a common framework that allows data to be shared and reused across application. There are some other mathematical languages also known relational algebra operations on sets boolean algebra operations on boolean variables predicate logic operations on well formed. The semantic web envisions the idea of having web resources augmented with semantics, so that machines, e. In this paper we present a fuzzy version of shoind, the corresponding description logic of the ontology description language owl dl. The paper describes the basic principles of fuzzy logic, different definitions and complete. Tightly integrated fuzzy description logic programs under.
The two parts together may help both the non fuzzy set theory and fuzzy logic expert to get an insight into fuzzy semantic web languages, while on the other hand may help the non semantic web languages expert to get a better understanding of the theoretical fundamentals of semantic web languages. Selfreference and chaos in fuzzy logic fuzzy systems. A fuzzy concept is a concept of which the boundaries of application can vary considerably according to context or conditions, instead of being fixed once and for all. Last, we show how to implement the extended semantics in inference rules section 4. This theory mimics human psychology as to how a person makes the decision faster. Fuzzy logic theory is therefore systems by li and horrocks 5, paolucci 10 etc. The goal of the semantic web is to make internet data machinereadable to enable the encoding of semantics with the data, technologies such as resource description framework rdf and web ontology language owl are used. To improve the education semantic web, the first step is a semantic question answering system where uncertain words are questions. The aim of ths study is to enhance the desgn evauaton and refinement of web mining tasks using fuzzy logic technique for improving semantic search engine technology. Fuzzy semantic web architecture for activity detection in wireless. Fuzzy ontologies building platform for sem antic web. Request pdf on dec 1, 2007, xiaomin zhu and others published fuzzy logic and the semantic web find, read and cite all the research you need on researchgate. Because of the enhancement to a machineunderstandable internet, the semantic web is.
A fuzzy extension of the semantic building information. Zadeh, professor for computer science at the university of california in berkeley. 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. Sep 01, 2015 to address these challenges, the linked building data initiative promotes the use of ontologies and semantic web technologies in order to create more formal and interoperable bims. Our system employs type2 fuzzy logic instead of traditional fuzzy logic for describing lowlevel image features similarity in order to build a global semantic model. Fuzzy logic is one of the most popular technologies now days prominently used in the all branches of technology, from medical sciences to the automotive controls. The novelty of fuzzy logic is, that it breaks with the. Similar to crisp ontologies, they can serve as basic semantic infrastructure, providing shared understanding of certain domains across di. Azvine, flint 2001, new directions in enhancing the power of the internet, uc berkeley electronics research laboratory, memorandum no. This paper introduces a these web service discovery systems only support framework termed fuzmod that applies fuzzy logic to matching web services using the same ontology. In mathematics and computer science, the gradations of applicable meaning of a fuzzy concept are described in terms of quantitative relationships defined by logical operators. Enhancing semantic search engine by using fuzzy logic in. Fuzzy logic and the semantic web volume 1 capturing.
The concept of fuzzy logic is based on near the human thinking and natural activities. The basic ideas underlying fl are explained in foundations of fuzzy logic. The semantic web is an extension of the world wide web through standards set by the world wide web consortium w3c. Fuzzy logic, semantic web languages, rdfs, owl, rif. This means it has grammar, syntax, semantic like a language for communication. Towards a fuzzy description logic for the semantic web 169 equal to 20. The two parts together may help both the non fuzzy set theory and fuzzy logic expert to get an insight into fuzzy semantic web languages, while on the other hand may help the non semantic web languages expert to get a better understanding of the theoretical fundamentals of semantic web. 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 human reasoning of semantic web and fuzzy logic avails us to exploit them while the development of different services proposed by our information retrieval system. Semantic web offers some opportunities to improve traditional search.
The word fuzzy refers to things which are not clear or are vague. Different kinds of applications in cybernetics, in software programming and its growing use in medicine seems to make fuzzy logic, accord ing to someone, the new logic of science and technology. Apr 03, 2009 the paper introduces fuzzy linguistic logic programming, which is a combination of fuzzy logic programming, introduced by p. In fuzzy logic toolbox software, fuzzy logic should be interpreted as fl, that is, fuzzy logic in its wide sense. Applications of fuzzy set theory 9 9 fuzzy logic and approximate reasoning 141 9.
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