In this paper, we study the integration of fuzzy logic in ontologies, in order to define a. Building fuzzylogic ontology for political decisionmakers. International journal of semantic computing july 3, 2009 19. Furthermore, the need for handling fuzzy and uncertain information is. Notation3 10 was selected as an open and semantic web language to implement the fuzzy cognitive maps. Resource description framework rdf a variety of data interchange formats e. Building fuzzy logic ontology for political decisionmakers. Typereduction methods are extended versions of type1 defuzzification methods.
The semantic web tools were established to implement the fcm approach. Finally, in the fourth part, the semantic music recommendation system is evaluated and tested in the context of a large exhibition. Application of fuzzy cognitive maps using semantic web. Tightly integrated fuzzy description logic programs under. Purchase fuzzy logic and the semantic web, volume 1 1st edition. Extending fuzzy description logics for the semantic web. In this paper, we present an approach to fuzzy description logic programs under the answer set semantics for the semantic web, which is an integration of description logics with nonmonotonic logic programs under the answer set. Sanchez, editor, fuzzy logic and the semantic web, capturing intelligence. With an extensive bibliography, this book provides indepth insight into fuzzy semantic web languages for nonfuzzy set theory and fuzzy logic experts. We focus on output processing, which consists of type reduction and defuzzification. A degree of matchmaking evaluation scheme based on fuzzy logic is proposed and evaluated using synthetic data from the web. The geometric visualization of fuzzy logic will give us a hint as to the possible connection with neural. The logic of the semantic web university of waterloo.
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. The tool creates the fuzzy inference engine and webbased user interface. Similar to crisp ontologies, they can serve as basic semantic infrastructure, providing shared understanding of certain domains across di. Tightly coupled fuzzy description logic programs under the answer set semantics for the semantic web thomas lukasiewicz1. Citeseerx fuzzy description logic programs under the. Ontology is adopted as a standard for knowledge representation on the semantic web, and resource description framework rdf is used to add structure and meaning to web applications. Tightly coupled fuzzy description logic programs under the.
Numerous studies1012 implement the fuzzy set theory in the ahp problem to tolerate the vagueness conditions. A fuzzy logic controller flc is a conceptual inputoutput machine, capable of making certain decisions based on the input linguistic variables fed to it. Despite the existing research work the problem of supplementing sw with fl remains without implemented, generic, publicly available, standardsbased and widely used solution. Last, we show how to implement the extended semantics in inference rules section 4. The logic of the semantic w eb enrico f ranconi rdf in the real world rdf and sparql are w3c standards widespread use for metadata representation, e. The knowledge base was constructed from the clinical guidelines as the form of ifthen fuzzy rules. Ontology alignment is the process of bringing ontologies into mutual agreement by the automatic discovery of mappings between related concepts.
Capturing intelligence fuzzy logic and the semantic web. Rdfxml,n3,turtle,ntriples notations such as rdf schema rdfs and the web ontology language owl all are intended to provide a formal. Explorers guide to the semantic web, p 4 the semantic web is a vision of the next generation web, which. It discusses the concepts, tools, techniques, and applications exhibiting the usefulness, and the necessity, of using fuzzy logic in the semantic web. Fuzzy logic and the semantic web zhu 2007 journal of. Fuzzy logic and the semantic web, volume 1 1st edition elsevier. Storing and querying fuzzy knowledge in the semantic web. Pdf combining fuzzy logic and semantic web to enable. Application of fuzzy cognitive maps using semantic web approaches to model medical knowledge e. In elie sanchez, editor, fuzzy logic and the semantic web, capturing. Pdf towards a fuzzy description logic for the semantic. This is gross interpretation of the real lifedifficulties and based on degrees of truth quite than usual truefalse or 10 like boolean logic. Pdf towards a fuzzy description logic for the semantic web. Hajim2 1information systems department, college of computer, anbar university, ramadi, anbar, iraq 2computer science department, college of computer, anbar university, ramadi, anbar, iraq.
While in classical set theory an element either belongs to a set or not, in fuzzy set theory elements belong only to a certain degree. It also helps researchers of nonsemantic web languages get a better understanding of the theoretical fundamentals of semantic web languages. These ontological semantic models standardize the description of concepts, relationships, and properties in the domain. Citeseerx fuzzy description logic programs under the answer. Foundations of fuzzy logic and semantic web languages. In addition, we show that the fuzzy answer set semantics is reduced to the stable fuzzy model semantics for normal fuzzy logic programs introduced in 42. These components are considered to develop the webbased expert system. A fuzzy set theory corresponds to fuzzy logic and the semantic of fuzzy operators can be understood using a geometric model. In fact, fuzzy logic cannot be ignored in order to bridge the gap between humanunderstandable soft logic and machinereadable hard logic. 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. Enhancing semantic search engine by using fuzzy logic in web mining. A fuzzy expert system uses predefined fuzzy rules to imitate the verbal expression and the think process of human beings to solve the decisionmaking problems. In order to incorporate fuzzy systems into the semantic web, this paper utilizes fuzzy ontology to represent formally the fuzzy linguistic variables, considering the semantic relationships between fuzzy concepts.
A problem here is a that i am no logician, and so i am am having to step like a fascinated reporter into this world of which i do not possess intimate experience. Box 10878, gosi complex, exhibitions road, manama, kingdom of bahrain. Towards integrating fuzzy logic capabilities into an ontology. We will define a fuzzy counterpart of the rdf model theory for rdf section 2 and rdf schema section 3. Furthermore, the need for handling fuzzy and uncertain information is crucial to the web. This paper presents a system for ontology alignment in the semantic sensor web which uses fuzzy logic techniques to combine similarity measures between entities of different ontologies. Semantic web technologies a set of technologies and frameworks that enable the web of data. This paper discusses about the concept of semantic web, technologythe, web content writing, and necessity for the development of 3. Fuzzy ontologies are envisioned to be very useful in the semantic web. Although the modeltheoretic semantics of the languages used in the semantic web are crisps, the need arise to extend them to represent fuzzy data, in the same way fuzzy logic extend firstorderlogic. In this study, we develop an ahp multicriteria decision making tool which equips with fuzzy set theory to tolerate the fuzziness in decision maker s judgements. A fuzzy description logic for the semantic web 75 more importantly it helps in understanding the differences between classical,stqi.
The aim of ths study is to enhance the desgn evauaton and. The goal of the semantic web is to make internet data machinereadable. Learner is to provide a dlowlbased machine learning. Howell, hendro wicaksono, baris yuce, member, ieee, kris mcglinn, and yacine rezgui abstractthis paper presents a cloudbased building energy management system, underpinned by semantic middleware, that. 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. Introduction nowadays, airport security is one of the biggest issues for travelers. Fuzzy logic and the semantic web, volume 1 1st edition. Fuzzy logic and the semantic web article in journal of the american society for information science and technology 5814. Fuzzy logic knowledge interface in fuzzy information retrieval the relevance of the index terms is expressed by a fuzzy relation. Semantic web aims to make web content more accessible to automated processes adds semantic annotations to web resources ontologies provide vocabulary for annotations terms have well defined meaning owl ontology language based on description logic exploits results of basic research on complexity, reasoning, etc.
Foundations of fuzzy logic and semantic web languages oapen. Using fuzzy logic to handle semantic descriptions of music in. With this book, the promise of the semantic web in which machines can find, share, and combine data on the web is not just a technical possibility, but a practical reality programming the semantic web demonstrates several ways to implement semantic web applications, using current and emerging standards and technologies. Abstractmany applications have been developed in various. The reader confident with the sozad terminology may skip directly to section 3. Fuzzy logic and the semantic web volume 1 capturing. The vision of the semantic web is to let computer software relieve us of much of the burden of locating resources on the web that are relevant to our needs and extracting, integrating and indexing the information contained within. Enhancing semantic search engine by using fuzzy logic in. A general purpose reasoning engine, eye 11, and the necessary plugins to be able to perform the reasoning on these knowledge models. Swrlf a fuzzy logic extension of the semantic web rule language. The semantic web is an extension of the world wide web through standards set by the world wide web consortium w3c. A hybrid approach using ontology similarity and fuzzy logic. Apple mcf adobe xmp mozillafirefox oracle supports rdf, and provides an extension of sql to query rdf data hp has a big lab in bristol developing specialised data stores for rdf jena.
For these reasons it is considered to be an important element in. Towards a fuzzy description logic for the semantic web 169 equal to 20. We introduce a type2 fuzzy logic system fls, which can handle rule uncertainties. The implementation of this type2 fls involves the operations of fuzzification, inference, and output processing. The millions of air passengers who pass through airports every day require high levels of security. Swrlf a fuzzy logic extension of the semantic web rule. The present work describes system architecture of a collaborative approach for semantic search engine mining. Tightly integrated fuzzy description logic programs under the. Developing webbased semantic and fuzzy expert systems. Swrl, swrlf, fuzzy logic, fuzzy rules, fuzzy, rule language, risk. Furthermore, we define fixpoint semantics for extended fuzzy logic programs with and without nonmonotonic negation, and study their relationship to the fuzzy answer set semantics.
Pdf fuzzy ontologies model for semantic web researchgate. Extended fuzzy logic programs with fuzzy answer set. 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. These components are considered to develop the web based expert system. Towards a fuzzy description logic for the semantic web. Enhancing semantic search engine by using fuzzy logic in web. 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. In this paper we present swrlf, a fuzzy logic extension of the semantic web rule language.
Chapter 4 a fuzzy description logic for the semantic web. Resource finding, information selection and preprocessing, generalization and analysis. To enable the encoding of semantics with the data, technologies such as resource description framework rdf and web ontology language owl are used. Extended fuzzy logic programs with fuzzy answer set semantics. Vagueness and imprecision abound in multimedia information processing and retrieval. These fuzzy rules were transferred to fcm modeling technique and, through the semantic web. Towards a fuzzy description logic for the semantic web preliminary report conference paper pdf available in lecture notes in computer science 3532. Design and development of decision making system using fuzzy. Ontologies and the semantic web school of informatics. Ieee transactions on cybernetics 1 user centered neurofuzzy.
The book focuses on the three main streams of semantic web languages. It works on the principals of fuzzy logic as suggested by zadeh 1965 in his revolutionary work which stresses on the significance of fuzzy membership functions instead of crisp values. Later the semantics of fuzzy logic is more formally introduced for the purposes of querying over rdf triples 21 with the use of tnorms and r. Volume 58, issue 14, pages 24092410, issue 14, pages 24092410. This looks at the semantic web design in the light a little reading on formal logic, of the access limited logic system, in particular, and in the light of logical languages in general. Citeseerx document details isaac councill, lee giles, pradeep teregowda. Ieee transactions on cybernetics 1 user centered neurofuzzy energy management through semanticbased optimization shaun k.
The third part applies fuzzy logic to flexible querying. 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. Unlimited viewing of the articlechapter pdf and any associated supplements. Ii fuzzy logic fuzzy logic resembles the human decision making methodology. Fuzzy knowledge representation for fuzzy systems based on. The results are found to be consistent on the scale provided. Pdf ontologies are set to play a key role in the semantic web and are used for. Such artefacts are referred to as semantic models, and are being developed using the web ontology language owl, to facilitate the semantic web 9, 18, 19, internet of things 20, and linked data 21. The tool creates the fuzzy inference engine and web based user interface. Developing webbased semantic and fuzzy expert systems using. Using fuzzy logic to handle semantic descriptions of music. Journal of the american society for information science and technology. International journal of semantic computing july 3, 2009. In this paper, we present an approach to fuzzy description logic programs under the answer set semantics for the semantic web, which is an integration of description logics with nonmonotonic logic programs under the answer set semantics with default negation in rule bodies that also allows for.
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