Particularly, ontology is part of semantic web and shows the information in such a way that is understandable by the machine. 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. Semweb is a lowlevel api facilitating access into rdfxml owl ontologies from. 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. To enable the encoding of semantics with the data, technologies such as resource description framework rdf and web ontology language owl are used. 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. Using fuzzy logic to handle semantic descriptions of music. Cgi files as components in a coursespecific web based enrollment guide.
Meanwhile, there are many kinds of logic, like the many versions of petri. The implementation of this type2 fls involves the operations of fuzzification, inference, and output processing. Novel approach of semantic annotation by fuzzy ontology. It is then introduced and illustrated by an example ontology of art. Our approach is usable in both p2p grid systems and semantic p2p grid systems. Fuzzy ontologies for the semantic web springerlink.
Efficient semantic web data querying and integration using. In standard fuzzy logic, the meaning of a predicate is identified with a fuzzy extension, i. The aim of this chapter is to present a detailed, selfcontained and comprehensive account of the state of the art in representing and reasoning with fuzzy knowledge in semantic web languages such as triple languages rdfrdfs, conceptual languages of the owl 2 family and rule languages. Towards a fuzzy description logic for the semantic web 169 equal to 20. 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. Despite the existing research work the problem of supplementing sw with fl remains without implemented, generic, publicly available, standardsbased and widely used solution. Enhancing semantic web technologies with an ability to express uncertainty and.
Fuzzy description logic programs under the answer set semantics for the semantic web fuzzy description logic programs under the answer set semantics for the semantic web lukasiewicz, thomas 20080101 00. Application of fuzzy cognitive maps using 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. The goal of the semantic web is to make internet data machinereadable. In this hybrid ontology, fuzzy logic can be incorporated for indicating uncertainty information. Semantic web based learning management system which is adaptive in terms of finding the learners style and provides learning objects or services according to the style of the learner dynamically is the requirement now a days. Fuzzy logic and the semantic web, volume 1 1st edition. Keywords fuzzy logic, owlontological web language, xmlrdf, ontology, semantic annotation, otr. 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. Vagueness and imprecision abound in multimedia information processing and retrieval. The coordinator is trusted by all nodes in the group and calculates the trust level of each node. Typereduction methods are extended versions of type1 defuzzification methods. With an extensive bibliography, this book provides indepth insight into fuzzy semantic web languages for nonfuzzy set theory and fuzzy logic experts. Capturing intelligence fuzzy logic and the semantic web.
Ontology can become the knowledge basis for fuzzy reasoning 27. A fuzzy reputation based model for trust management. According to recursively propagating trust, if a has trust x in b and b has trust y in c, then a must have some trust z in c. Zadeh, professor for computer science at the university of california in berkeley. Fuzzy set theoryand its applications, fourth edition. Novel approach of semantic annotation by fuzzy ontology based. Towards a fuzzy description logic for the semantic web. Enhancing semantic search engine by using fuzzy logic in web. The present work describes system architecture of a collaborative approach for semantic search engine mining. 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 semantic web must handle information from applications that have special knowledge representation needs and that face uncertain, imprecise knowledge. Resource finding, information selection and preprocessing, generalization and analysis. Sensing semantics of rss feeds by fuzzy matchmaking. However, the implementation is proprietary and does not connect directly with any established semantic web technologies or tools like owl, swrl or protege. Tightly integrated fuzzy description logic programs under the answer set semantics for the semantic web. Citeseerx fuzzy description logic programs under the. No previous knowledge of fuzzy set theory or fuzzy logic is required for an. Two wellknown annotation frameworks exist in the semantic web. Situationaware mobile service recommendation with fuzzy logic and semantic web alessandro ciaramella mario g. Citeseerx document details isaac councill, lee giles, pradeep teregowda. 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. Foundations of fuzzy logic and semantic web languages oapen. Furthermore, the need for handling fuzzy and uncertain information is. Finally, in the fourth part, the semantic music recommendation system is evaluated and tested in the context of a large exhibition.
Fuzzy logic and the semantic web, volume 1 1st edition elsevier. Towards integrating fuzzy logic capabilities into an ontology. Developing web based semantic and fuzzy expert systems using proposed tool mostafa a. Situationaware mobile service recommendation with fuzzy. Tightly integrated fuzzy description logic programs under. We use a fuzzy coclustering algorithm to retrieve collection of documents based on ontology similarity. 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. Fuzzy logic and the semantic web zhu 2007 journal of. Patrick hayes 1 introduction a major international research e ort is currently under way to improve the existing world wide web www, with the intention to create what is often called the semantic web bernerslee et al.
Report 18430703, institut fur informationssysteme, tu wien, february 2007. Pdf combining fuzzy logic and semantic web to enable. They present a fuzzy reasoning engine that implements a reasoning algorithm for a fuzzy dl language fkdshin. We introduce a type2 fuzzy logic system fls, which can handle rule uncertainties. The third part applies fuzzy logic to flexible querying. Unlimited viewing of the articlechapter pdf and any associated supplements. We focus on output processing, which consists of type reduction and defuzzification. It discusses the concepts, tools, techniques, and applications exhibiting the usefulness, and the necessity, of using fuzzy logic in the semantic web.
A fuzzy set theory corresponds to fuzzy logic and the semantic of fuzzy operators can be understood using a geometric model. Application of fuzzy cognitive maps using semantic web approaches to model medical knowledge e. Similar to crisp ontologies, they can serve as basic semantic infrastructure, providing shared understanding of certain domains across di. The geometric visualization of fuzzy logic will give us a hint as to the possible connection with neural. In this paper we present swrlf, a fuzzy logic extension of the semantic web rule language. Developing webbased semantic and fuzzy expert systems. Volume 58, issue 14, pages 24092410, issue 14, pages 24092410.
An overview of fuzzy description logics for the semantic web. A web of trust is based on recursively propagating trust. The majority of ontology modeling formalisms and tools are based on crisp logic and do not provide way to represent imperfection. In fact, fuzzy logic cannot be ignored in order to bridge the gap between humanunderstandable soft logic and machinereadable hard logic. Research methodology hybrid ontology is an effective theory commonly used for the semantic web. Informally speaking, a concept is a structure in our semantic memory that allows us to categorize objects into the extension of a predicate. See fuzzy search, fuzzy logic, or imageprocessing for more appropriate tags. This paper proposes a quantitative method for information acquisition from rss feeds with the aid of the semantic web technique. Using fuzzy logic to handle semantic descriptions of music in. However reasoning for fuzzy description logic still relies on a consistent fuzzy knowledge basis.
Fuzzy scale uses fuzzy type1 for documents and fuzzy. Net component intended to work with fuzzy logic sets and relations 11. Logics for the semantic web pascal hitzler, jens lehmann, axel polleres reader. This paper first analyses the state of the art in tools for. Fuzzy knowledge management for the semantic web zongmin. Swrlf a fuzzy logic extension of the semantic web rule language abstract. Swrlf a fuzzy logic extension of the semantic web rule. A hybrid approach using ontology similarity and fuzzy logic. Fuzzy logic, the semantic web, and its components ontologies, description logics.
Fuzzy logic applications software free download fuzzy. The semantic web is an extension of the world wide web through standards set by the world wide web consortium w3c. 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. 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. When you type in a tag for a question, the summary for the tag is displayed, and that usually includes some guidelines for when you should use it. Tightly integrated fuzzy description logic programs under the. This approach abstracts away from the semantic function of concepts. In fact the usable of semantic is just to create semantic overlay network son which has lots of advantages for clustering the.
In general, creating of fuzzy ontology is done from predefined concept hierarchy. Applications of fuzzy set theory 9 9 fuzzy logic and approximate reasoning 141 9. Foundations of fuzzy logic and semantic web languages crc. Hybrid fuzzyontology design using fca based clustering. Semantic web technologies a set of technologies and frameworks that enable the web of data.
Fuzzy logic and the semantic web article in journal of the american society for information science and technology 5814. Enhancing semantic search engine by using fuzzy logic in web mining. Cimino, beatrice lazzerini, francesco marcelloni imt lucca institute for advanced studies, piazza san ponziano 6, 55100 lucca italy a. On the expressiveness of the languages for the semantic web making a case for. Part i, august 30september 03, 2010, bilbao, spain. Journal of the american society for information science and technology. With an extensive bibliography, this book provides indepth insight into fuzzy semantic web languages for non fuzzy set theory and fuzzy logic experts. Fuzzy knowledge management for the semantic web zongmin ma. Fuzzy semantic web ontology learning from fuzzy uml model.
It also helps researchers of nonsemantic web languages get a better understanding of the theoretical fundamentals of semantic web languages. More precisely, some applications deal with random information and events, others deal with imprecise and fuzzy knowledge, and still others deal with missing. Bobillo from fuzzy to annotated sw languages 2 239. Enhancing semantic web technologies with an ability to express uncertainty and imprecision is widely discussed. Pdf mobile internet is rapidly growing and an enormous quantity of resources are currently available. See fuzzysearch, fuzzylogic, or imageprocessing for more appropriate tags.
This book goes to great depth concerning the fast growing topic of technologies and approaches of fuzzy logic in the semantic 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. 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. 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. Fuzzy logic and the semantic web volume 1 capturing. Fuzzy logic fl is a way to make machines more intelligentfuzzy logic fl is a way to make machines more intelligent enabling them to reason in a fuzzy manner like humans, itenabling them to reason in a fuzzy manner like humans, it resembles human reasoning. Swrlf a fuzzy logic extension of the semantic web rule language.
Storing and querying fuzzy knowledge in the semantic web. Citeseerx fuzzy description logic programs under the answer. The book focuses on the three main streams of semantic web languages. From fuzzy to annotated semantic web languages springerlink. Fuzzy logic and the semantic web fuzzy logic and the semantic web zhu, xiaomin. Net operators, so that one can effortlessly build and evaluate fuzzy logic expressions directly in. Resource description framework rdf a variety of data interchange formats e. Foundations of fuzzy logic and semantic web languages. Fuzzy ontologies are envisioned to be very useful in the semantic web.
The aim of ths study is to enhance the desgn evauaton and. Pdf fuzzy ontologies model for semantic web researchgate. Enhancing semantic search engine by using fuzzy logic in. It also helps researchers of non semantic web languages get a better understanding of the theoretical fundamentals of semantic web languages.