Relevant bibliographies by topics / SWRL rule

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'SWRL rule'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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Journal articles on the topic "SWRL rule"

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Bouaicha, Souad, and Zizette Boufaida. "SWRLx." International Journal of Intelligent Information Technologies 12, no. 2 (April 2016): 53–69. http://dx.doi.org/10.4018/ijiit.2016040104.

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Although OWL (Web Ontology Language) and SWRL (Semantic Web Rule Language) add considerable expressiveness to the Semantic Web, they do have expressive limitations. For some reasoning problems, it is necessary to modify existing knowledge in an ontology. This kind of problem cannot be fully resolved by OWL and SWRL, as they only support monotonic inference. In this paper, the authors propose SWRLx (Extended Semantic Web Rule Language) as an extension to the SWRL rules. The set of rules obtained with SWRLx are posted to the Jess engine using rewrite meta-rules. The reason for this combination is that it allows the inference of new knowledge and storing it in the knowledge base. The authors propose a formalism for SWRLx along with its implementation through an adaptation of different object-oriented techniques. The Jess rule engine is used to transform these techniques to the Jess model. The authors include a demonstration that demonstrates the importance of this kind of reasoning. In order to verify their proposal, they use a case study inherent to interpretation of a preventive medical check-up.
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Plinere, Darya, and Arkady Borisov. "SWRL: Rule Acquisition Using Ontology." Scientific Journal of Riga Technical University. Computer Sciences 40, no. 1 (January 1, 2009): 117–22. http://dx.doi.org/10.2478/v10143-010-0016-8.

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SWRL: Rule Acquisition Using Ontology Nowadays rule-based systems are very common. The use of ontology-based systems is becoming ever more popular, especially in addition to the rule-based one. The most widely used ontology development platform is Protégé. Protégé provides a knowledge acquisition tool, but still the main issue of the ontology-based rule system is rule acquisition. This paper presents an approach to using SWRL rules Tab, a plug-in to Protégé, for rule acquisition. SWRL rules Tab transforms conjunctive rules to Jess rules in IF…THEN form.
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Bassiliades, Nick. "A Tool for Transforming Semantic Web Rule Language to SPARQL Infererecing Notation." International Journal on Semantic Web and Information Systems 16, no. 1 (January 2020): 87–115. http://dx.doi.org/10.4018/ijswis.2020010105.

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Semantic web rule language (SWRL) combines web ontology language (OWL) ontologies with horn logic rules of the rule markup language (RuleML) family. Being supported by ontology editors, rule engines and ontology reasoners, it has become a very popular choice for developing rule-based applications on top of ontologies. However, SWRL is probably not going to become a WWW Consortium standard, prohibiting industrial acceptance. On the other hand, SPARQL Inferencing Notation (SPIN) has become a de-facto industry standard to represent SPARQL rules and constraints on semantic web models, building on the widespread acceptance of SPARQL (SPARQL Protocol and RDF Query Language). In this article, we argue that the life of existing SWRL rule-based ontology applications can be prolonged by converting them to SPIN. To this end, we have developed the SWRL2SPIN tool in Prolog that transforms SWRL rules into SPIN rules, considering the object-orientation of SPIN, i.e. linking rules to the appropriate ontology classes and optimizing them, as derived by analysing the rule conditions.
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Zhai, Zhaoyu, José-Fernán Martínez Ortega, Néstor Lucas Martínez, and Pedro Castillejo. "A Rule-Based Reasoner for Underwater Robots Using OWL and SWRL." Sensors 18, no. 10 (October 16, 2018): 3481. http://dx.doi.org/10.3390/s18103481.

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Web Ontology Language (OWL) is designed to represent varied knowledge about things and the relationships of things. It is widely used to express complex models and address information heterogeneity of specific domains, such as underwater environments and robots. With the help of OWL, heterogeneous underwater robots are able to cooperate with each other by exchanging information with the same meaning and robot operators can organize the coordination easier. However, OWL has expressivity limitations on representing general rules, especially the statement “If … Then … Else …”. Fortunately, the Semantic Web Rule Language (SWRL) has strong rule representation capabilities. In this paper, we propose a rule-based reasoner for inferring and providing query services based on OWL and SWRL. SWRL rules are directly inserted into the ontologies by several steps of model transformations instead of using a specific editor. In the verification experiments, the SWRL rules were successfully and efficiently inserted into the OWL-based ontologies, obtaining completely correct query results. This rule-based reasoner is a promising approach to increase the inference capability of ontology-based models and it achieves significant contributions when semantic queries are done.
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Jajaga, Edmond, and Lule Ahmedi. "C-SWRL: A Unique Semantic Web Framework for Reasoning Over Stream Data." International Journal of Semantic Computing 11, no. 03 (September 2017): 391–409. http://dx.doi.org/10.1142/s1793351x17400165.

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The synergy of Data Stream Management Systems and Semantic Web applications has steered towards a new paradigm known as Stream Reasoning. The Semantic Web standards for knowledge base modeling and querying, namely RDF, OWL and SPARQL, has extensively been used by the Stream Reasoning community. However, the Semantic Web rule languages, such as SWRL and RIF, have never been used in stream data applications. Instead, different non-Semantic Web rule systems have been approached. Since RIF is primarily intended for exchanging rules among systems, we focused on SWRL applications with stream data. This proves difficult following the SWRL’s open world semantics. To overcome SWRL’s expressivity issues we propose an infrastructure extension, which will enable SWRL reasoning with stream data. Namely, a query processing system, such as C-SPARQL, was layered under SWRL to support closed-world and time-aware reasoning. Moreover, OWLAPI constructs were utilized to enable non-monotonicity, while SPARQL constructs were used to enable negation as failure. Water quality monitoring was used as a validation domain of the proposed system.
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Zhang, Xian-kun, Xin-ya Gao, Qian Zhang, and Jia Jia. "Research on the Rough Extension of Ontology Description Language of SWRL." Journal of Electrical and Computer Engineering 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/5636254.

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Although ontology has strong ability to express knowledge, it is difficult to express uncertain or imprecise information using the language of ontology. In order to improve the ability to express uncertain information, this paper extends the Semantic Web Rule Language (SWRL) and gives the extension of reasoning rules. According to the rough ontology and the rules of SWRL, it updates the knowledge base. Firstly, the concept of rough ontology and the extension of rough relationship of ontology are put forward; secondly, it gives the extension method for concepts, relationships, axioms, examples, and rules of SWRL. Finally, a psychological counseling case shows that the method can well express the uncertainty of knowledge, and it is able to well express the reasoning rules.
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de Farias, Tarcisio Mendes, Ana Roxin, and Christophe Nicolle. "SWRL rule-selection methodology for ontology interoperability." Data & Knowledge Engineering 105 (September 2016): 53–72. http://dx.doi.org/10.1016/j.datak.2015.09.001.

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Milanovic, Milan, Dragan Gasevic, Adrian Giurca, Gerd Wagner, Sergey Lukichev, and Vladan Devedzic. "Model transformations to bridge concrete and abstract syntax of web rule languages." Computer Science and Information Systems 6, no. 2 (2009): 47–85. http://dx.doi.org/10.2298/csis0902047m.

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This paper presents a solution to bridging the abstract and concrete syntax of a Web rule languages by using model transformations. Current specifications of Web rule languages such as Semantic Web Rule Language (SWRL) or RuleML define their abstract syntax (e.g., metamodel) and concrete syntax (e.g., XML schema) separately. Although the recent research in the area of Model-Driven Engineering (MDE) demonstrates that such a separation of two types of syntax is a good practice (due to the complexity of languages), one should also have tools that check validity of rules written in a concrete syntax with respect to the abstract syntax of the rule language. In this study, we use the REWERSE I1 Rule Markup Language (R2ML), SWRL, and Object Constraint Language (OCL), whose abstract syntax is defined by using metamodeling, while their textual concrete syntax is defined by using either XML/RDF schema or Extended Backus-Naur Form (EBNF) syntax. We bridge this gap by a bi-directional transformation defined in a model transformation language (ATLAS Transformation Language, ATL). This transformation allowed us to discover a number of issues in both web rule language metamodels and their corresponding concrete syntax, and thus make them fully compatible. This solution also enables for sharing web rules between different web rule languages.
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Dai, Hong Qin. "The Research on Intelligent Clothing Recommendation System Based on Ontology." Advanced Materials Research 175-176 (January 2011): 827–31. http://dx.doi.org/10.4028/www.scientific.net/amr.175-176.827.

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Ontology which is a description of knowledge has been applied to many fields. Some intelligent systems based on ontology have been developed. In the paper, a clothing recommendation system based on ontology is developed. The recommendation system mainly includes two parts: knowledge base and inference engine. The structural knowledge of clothing is represented by using ontology and some constraint knowledge is described by SWRL. The clothing recommendation process are carried out using JESS, a rule engine for the Java platform, by mapping OWL-based clothing knowledge and SWRL-based design rules into JESS facts and JESS rules, respectively.
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Bouihi, Bouchra, and Mohamed Bahaj. "Ontology and Rule-Based Recommender System for E-learning Applications." International Journal of Emerging Technologies in Learning (iJET) 14, no. 15 (August 1, 2019): 4. http://dx.doi.org/10.3991/ijet.v14i15.10566.

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The continuous growth of the internet has given rise to an overwhelming mass of learning materials. Which has increased the demand for a recommendation system to filter information and to deliver the learning materials that fit learners learning context. In this paper, we propose an architecture of a semantic web based recommender system. The proposed architecture is a redesigned architecture of the classical 3-tiers web application architecture with an additional semantic layer. This layer holds two semantic subsystems: an Ontology-based subsystem and SWRL (Semantic Web Rule Language) rules one. The Ontology subsystem is used as a reusable and sharable domain knowledge to model the learning content and context. The SWRL rules are used as a recommendation and filtering technique based on learning object relevance and weighting. These rules are organized into four categories: Learning History Rules (LHR), Learning Performance Rules (LPR), Learning Social Network Rules (LSNR) and Learning Pathway Rules (PR).
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Dissertations / Theses on the topic "SWRL rule"

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Silva, Adriano Rivolli da. "Aprimorando a visualização e composição de regras SWRL na Web." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-27022012-142801/.

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A Web Semântica tem como meta fazer com que os conteúdos disponibilizados na Web tenham significado não apenas para pessoas, mas também que possam ser processados por máquinas. Essa meta está sendo realizada com o desenvolvimento e uso de ontologias para criar dados anotados semanticamente. Entre as distintas formas de anotação semântica, a Semantic Web Rule Language (SWRL) torna possível criar anotações no formato de regras que combinam regras com conceitos definidos em ontologias, especificadas em Web Ontology Language (OWL), para representar conhecimento sobre dados por meio de afirmações condicionais. Todavia, à medida que o número dessas regras crescem, seus desenvolvedores podem enfrentar dificuldades para gerenciá-las adequadamente. Um grande conjunto de regras torna-se difícil de entender e propício a erros, principalmente quando usado e mantido de forma colaborativa. Neste trabalho é apresentado um conjunto de soluções para aprimorar o uso e gerenciamento de regras SWRL, que compreendem o desenvolvimento de novas representações visuais, técnicas de classificação de regras e ferramenta de detecção de erros. Essas soluções resultaram no SWRL Editor, uma ferramenta Web de visualização e composição de regras que roda como um plug-in para o Web Protégé. Como estudo de caso, foi utilizada a Autism Phenologue Rules, uma ontologia para caracterizar fenótipos de autismo, para exemplificar um conjunto grande e complexo de regras SWRL. A partir desse estudo, uma nova representação visual específica para as regras dessa ontologia foi elaborada, permitindo que um especialista em autismo, sem grandes conhecimentos computacionais, seja capaz de ver e editar regras sem ter de se preocupar com a sintaxe da linguagem SWRL. Os resultados obtidos indicam que o SWRL Editor é uma ferramenta clara e intuitiva, contribuindo para um melhor entendimento, criação e gerenciamento de regras SWRL.
The Semantic Web aims to make web content available not only to people but also to computers using machine-readable formats. This goal is being realized with the development and use of ontologies to create semantically annotated data. Among the different ways to annotate data, the Semantic Web Rule Language (SWRL) enables rule-based annotation that combines rules with ontology concepts, defined using the Web Ontology Language (OWL), to represent knowledge about data as conditional assertions. However, as the number of these rule-base annotations grows, developers face problems when trying to manage them. A large rule set becomes difficult to understand and prone to errors, especially when it is collaboratively maintained. This work presents solutions to improve SWRL rule use and management that include the development of new visual representations, classification techniques and error detection tools. These solutions resulted in the SWRL Editor, a webbased visualization and composition tool for SWRL rules that runs as a Web Protégé plug-in. As a case study, we used the Autism Phenologue Rules, an ontology to characterize autism phenotypes, to exemplify a large and complex SWRL rule set. From this study, a new visual representation, specific for this ontologys rules, has been developed, allowing an expert in autism, without a lot of computational knowledge, to be able to view and edit the rules without having to worry about SWRL syntax. The results obtained indicate that the SWRL Editor is a clear and intuitive tool, contributing for a better understanding and easing the creation and management of SWRL rule sets
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Orlando, João Paulo. "Usando aplicações ricas para internet na criação de um ambiente para visualização e edição de regras SWRL." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-25072012-101810/.

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A Web Semântica é uma maneira de explorar a associação de significados explícitos aos conteúdos de documentos presentes na Web, para que esses possam ser processados diretamente ou indiretamente por máquinas. Para possibilitar esse processamento, os computadores necessitam ter acesso a coleções estruturadas de informações e a conjuntos de regras de inferência sobre esses conteúdos. O SWRL permite a combinação de regras e termos de ontologias (definidos por OWL) para aumentar a expressividade de ambos. Entretanto, conforme um conjunto de regras cresce, ele torna-se de difícil compreensão e sujeito a erros, especialmente quando mantido por mais de uma pessoa. Para que o SWRL se torne um verdadeiro padrão web, deverá ter a capacidade de lidar com grandes conjuntos de regras. Para encontrar soluções para este problema, primeiramente, foi realizado um levantamento sobre sistemas de regras de negócios, descobrindo os principais recursos e interfaces utilizados por eles, e então, com as descobertas, propusemos técnicas que usam novas representações visuais em uma aplicação web. Elas permitem detecção de erro, identificação de regras similares, agrupamento, visualização de regras e o reuso de átomos para novas regras. Estas técnicas estão implementadas no SWRL Editor, um plug-in open-source para o Web-Protégé (um editor de ontologias baseado na web) que utiliza ferramentas de colaboração para permitir que grupos de usuários possam não só ver e editar regras, mas também comentar e discutir sobre elas. Foram realizadas duas avaliações do SWRL Editor. A primeira avaliação foi um estudo de caso para duas ontologias da área biomédica (uma área onde regras SWRL são muito usadas) e a segunda uma comparação com os únicos três editores de regras SWRL encontrados na literatura. Nessa comparação foi mostrando que ele implementa mais recursos encontrados em sistemas de regras em geral
The Semantic Web is a way to associate explicitly meaning to the content of web documents to allow them to be processed directly by machines. To allow this processing, computers need to have access to structured collections of information and sets of rules to reason about these content. The Semantic Web Rule Language (SWRL) allows the combination of rules and ontology terms, defined using the Web Ontology Language (OWL), to increase the expressiveness of both. However, as rule sets grow, they become difficult to understand and error prone, especially when used and maintained by more than one person. If SWRL is to become a true web standard, it has to be able to handle big rule sets. To find answers to this problem, we first surveyed business rule systems and found the key features and interfaces they used and then, based on our finds, we proposed techniques and tools that use new visual representations to edit rules in a web application. They allow error detection, rule similarity analysis, rule clustering visualization and atom reuse between rules. These tools are implemented in the SWRL Editor, an open source plug-in for Web-Protégé (a web-based ontology editor) that leverages Web-Protégés collaborative tools to allow groups of users to not only view and edit rules but also comment and discuss about them. We have done two evaluations of the SWRL Editor. The first one was a case study of two ontologies from the biomedical domain, the second was a comparison with the SWRL editors available in the literature, there are only three. In this comparison, it has been shown that the SWRL Editor implements more of the key resources found on general rule systems than the other three editors
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Viklund, Herman, and Hanna Karlsson. "Clinical Decision Support Rules in an Archetype-Based Health Record System : Combining Archetype Query Language (AQL) and Semantic Web Rule Language (SWRL)." Thesis, Linköping University, Department of Biomedical Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-51851.

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By using archetypes, it is possible to define how data are stored in the EHR,which facilitates querying for data.

The objective of this thesis is to investigate the possibility of connecting a decisionsupport system to archetype-based medical records by using the ArchetypeQuery Language (AQL) and the Semantic Web Rule Language (SWRL).

The result shows that, since SWRL is a logic language rather than a programminglanguage, built-ins are necessary to allow SWRL rules to function as programmingrules. Built-ins are SWRL modules that can be written in e.g. Java,which allows complex functions to be created.

The conclusion is that built-ins can be used to connect archetypes and SWRLrules by querying the archetype path with AQL. There are however several ruledesign factors to consider when using SWRL e.g. data location problems.

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Woodbury, Charla Jean. "Automatic Extraction From and Reasoning About Genealogical Records: A Prototype." BYU ScholarsArchive, 2010. https://scholarsarchive.byu.edu/etd/2335.

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Family history research on the web is increasing in popularity, and many competing genealogical websites host large amounts of data-rich, unstructured, primary genealogical records. It is labor-intensive, however, even after making these records machine-readable, for humans to make these records easily searchable. What we need are computer tools that can automatically produce indices and databases from these genealogical records and can automatically identify individuals and events, determine relationships, and put families together. We propose here a possible solution—specialized ontologies, built specifically for extracting information from primary genealogical records, with expert logic and rules to infer genealogical facts and assemble relationship links between persons with respect to the genealogical events in their lives. The deliverables of this solution are extraction ontologies that can extract from parish or town records, annotated versions of original documents, data files of individuals and events, and rules to infer family relationships from stored data. The solution also provides for the ability to query over the rules and data files and to obtain query-result justification linking back to primary genealogical records. An evaluation of the prototype solution shows that the extraction has excellent recall and precision results and that inferred facts are correct.
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Touileb, Djaid Nadia. "Contribution à la mise en œuvre d’une architecture ambiante d’interaction homme-robot-environnement. Dans le cadre de la robotique d’aide à la personne dépendante." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLV037/document.

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Le sujet de cette thèse de doctorat consiste à proposer une architecture ambiante d’interaction homme-robot-environnement. Dans le cadre de la robotique d’aide à la personne dépendante. Cette architecture va permettre aux robots « Ubiquitous Networked Robots » de prendre en compte le contexte évolutif pour fournir continuellement du service à l'utilisateur. L'architecture proposée utilise le concept d'Ontologie du domaine pour la description de l'environnement. Nous avons choisi d'utiliser l'outil open source PROTEGE qui va nous permettre de définir l'ontologie ainsi que les moteurs de fusion et de fission. Les entrées multimodales seront fusionnées puis subdivisées en tâches élémentaires et envoyées comme commandes au fauteuil roulant muni d'un bras manipulateur. Cette architecture sera validée par des spécifications et des simulations via des réseaux de Pétri temporels et stochastiques
The subject of this thesis is to provide an ambient architecture for the human-robotenvironment interaction, as part of thedependent person robotics help. This architecture will enable the robot to take into account the changing context and continually provide a service to the user. The architecture uses the concept of ontology for the descriptionof the environment. We have chosen to use the open source PROTEGE because it allows the definition of the ontology and the fusion and fission engines. Indeed, multimodal inputs will be merged and subdivided into elementary tasks and sent tocontrol the wheelchair with the manipulated arm. This architecture will be validated by specifications and simulations via temporal and stochastic Petri nets
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Satpathy, Sri Jitendra. "Rules with Right hand Existential or Disjunction with ROWLTab." Wright State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1559146742960876.

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El, Ghosh Mirna. "Automatisation du raisonnement et décision juridiques basés sur les ontologies." Thesis, Normandie, 2018. http://www.theses.fr/2018NORMIR16/document.

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Le but essentiel de la thèse est de développer une ontologie juridique bien fondée pour l'utiliser dans le raisonnement à base des règles. Pour cela, une approche middle-out, collaborative et modulaire est proposée ou des ontologies fondationnelles et core ont été réutilisées pour simplifier le développement de l'ontologie. L’ontologie résultante est adoptée dans une approche homogène a base des ontologies pour formaliser la liste des règles juridiques du code pénal en utilisant le langage logique SWRL
This thesis analyses the problem of building well-founded domain ontologies for reasoning and decision support purposes. Specifically, it discusses the building of legal ontologies for rule-based reasoning. In fact, building well-founded legal domain ontologies is considered as a difficult and complex process due to the complexity of the legal domain and the lack of methodologies. For this purpose, a novel middle-out approach called MIROCL is proposed. MIROCL tends to enhance the building process of well-founded domain ontologies by incorporating several support processes such as reuse, modularization, integration and learning. MIROCL is a novel modular middle-out approach for building well-founded domain ontologies. By applying the modularization process, a multi-layered modular architecture of the ontology is outlined. Thus, the intended ontology will be composed of four modules located at different abstraction levels. These modules are, from the most abstract to the most specific, UOM(Upper Ontology Module), COM(Core Ontology Module), DOM(Domain Ontology Module) and DSOM(Domain-Specific Ontology Module). The middle-out strategy is composed of two complementary strategies: top-down and bottom-up. The top-down tends to apply ODCM (Ontology-Driven Conceptual Modeling) and ontology reuse starting from the most abstract categories for building UOM and COM. Meanwhile, the bottom-up starts from textual resources, by applying ontology learning process, in order to extract the most specific categories for building DOM and DSOM. After building the different modules, an integration process is performed for composing the whole ontology. The MIROCL approach is applied in the criminal domain for modeling legal norms. A well-founded legal domain ontology called CriMOnto (Criminal Modular Ontology) is obtained. Therefore, CriMOnto has been used for modeling the procedural aspect of the legal norms by the integration with a logic rule language (SWRL). Finally, an hybrid approach is applied for building a rule-based system called CORBS. This system is grounded on CriMOnto and the set of formalized rules
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Peng, Yong. "Modelling and designing IT-enabled service systems driven by requirements and collaboration." Phd thesis, INSA de Lyon, 2012. http://tel.archives-ouvertes.fr/tel-00737773.

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Compared to traditional business services, IT-enabled services provide more value to customers and providers by enabling traditional business services with Information and Communication Technologies (ICT) and delivering them via e-channels (i.e., Internet, Mobile networks). Although IT-enabled service systems help in co-creating value through collaboration with customers during service design and delivery, they raise challenges when we attempt to understand, design and produce innovative and intelligent IT-enabled services from a multi-disciplinary perspective by including businesses, technology and people for value addition and increasing benefits. Due to their social-technical nature and characteristics (i.e., Intangibility, Inseparability, Perishability, Simultaneity), IT-enabled services also lack common methods to systemize services driven by customer requirements and their satisfactions and co-produce them through ad-hoc collaboration. In this thesis, we propose a middle-out methodology to model, design and systemize advanced IT-enabled service driven by customer requirements and collaboration among all actors to jointly co-create service systems. From a multi-disciplinary perspective, the methodology relies on a multi-view models including a service system reference model, a requirement model and a collaboration model to ensure system flexibility and adaptability to requirement changes and take into account joint efforts and collaboration of all service actors. The reference model aims at a multi-disciplinary description of services (ontological, systematical and characteristic-based descriptions), and formalizing business knowledge related to different domains. As for the requirement model, customer needs are specified in common expressiveness language understandable by all service actors and made possible its top-down propagation throughout service lifecycle and among actors. The collaboration model advocates a data-driven approach, which increases busi-ness, technical and semantic interoperability and exhibits stability in comparison to business processes centric approaches. Finally, the collaboration hinges on de-livery channels expressed as data flows and encapsulating business artifacts as per which business rules are generated to invoke underlying software components.
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Bhoopalam, Kruthi. "Fire : a description logic based rule engine for OWL ontolgies with SWRL-like rules." Thesis, 2005. http://spectrum.library.concordia.ca/8705/1/MR10280.pdf.

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The present decade has seen significant progress towards realizing the vision of the Semantic Web. This progress has most often been seen in the levels of maturity reached by each layer in the architectural layers representing the Semantic Web vision. The ontology layer reached a substantial level of maturity with the OWL Web Ontology Language (OWL) being recommended by the World Wide Web Consortium (W3C) as the standard for representing ontologies on the Web. This move has triggered several other standardizations and led to interesting research results that have further strengthened the ontology layer. This has motivated the Semantic Web community to venture further towards the rules layer in the vision. One of the interesting lines of research in this context is to extend OWL with rules both syntactically and semantically and providing a sound, complete and terminating reasoning support for the extension. Our present work corresponds to this line of research.
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LU, SHAO-YUAN, and 呂紹源. "An Ontology Match Approach Based on WordNet and SWRL Rule." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/8pw5s2.

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碩士
國立臺中教育大學
資訊工程學系
102
In recent years, the web service is becoming more and more popular in various application domains, which attracts many researchers to contribute efforts in this domain. Some people study on service search some on load balance. However, there are bottlenecks encountered in service matchmaking and service discovery. In traditional service matchmaking, most approaches use keyword-based methods for service discovery that may cause difficulties in meeting user’s demands. It will be limited to a single keyword by using keyword-based methods. In order to address the above problems, we propose a mechanism to match services based on WordNet, ontology and SWRL rules, in which WordNet are used to extend queries, ontology stores service description, service name and service attributes, and SWRL rules are used to extract implicit messages hidden in ontologies. In this paper, we propose an Ontology match method based on WordNet and SWRL Rules, which improves the quality of the web service found by using WordNet and SWRL technologies.
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Books on the topic "SWRL rule"

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book, Simone Bar. Composition Notebook: Rick and Morty Kaleidoscope Rick Swirl Journal/Notebook Blank Lined Ruled 6x9 100 Pages. Independently Published, 2020.

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Notebooks, W. R. Flow. Composition Notebook: Purple Marble Swirl Pattern Notebook for School or Journaling - 100 Pages College Ruled Composition Notebook. Independently Published, 2019.

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Notebooks, W. R. Flow. Composition Notebook: Pink Marble Swirl Pattern Notebook for School or Journaling - 100 Pages College Ruled Composition Notebook. Independently Published, 2019.

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Notebooks, W. R. Flow. Composition Notebook: Red Marble Swirl Pattern Notebook for School or Journaling - 100 Pages College Ruled Composition Notebook. Independently Published, 2019.

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notebook, valentine for boy. Composition Notebook: Retro Wizard of OZ Tee Tin Man - Swirl Heart Valentine Journal/Notebook Blank Lined Ruled 6x9 100 Pages. Independently Published, 2020.

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Wizards, Graph. Quad Paper Notebook. Quad Ruled-4 Squares per Inch: Grid Notebook/Grid Paper Journal/Graph Paper Composition Notepad 8. 5x11 in. Color Swirl. Independently Published, 2019.

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Co, M. P. MP Notebook. Composition Notebook: Colorful White Marble Swirl Pattern Notebook for School or Journaling - 7. 5 X 9. 25 in 100 Pages Wide Ruled Composition Notebook. Independently Published, 2019.

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Polgar, Abatorm. Composition Notebook: Runners Nature Lovers Motivational Butterfly Floral Swirl Butterfly Yellow Tattoos Butterflys Science Raising Notebook Journal Notebook Blank Lined Ruled 6x9 100 Pages. Independently Published, 2020.

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Friedman, Andrea. Composition Notebook: Working Cow Horse Blue Swirl Slow Bouncing Alushield Barbie Figurines Bounce Rocking Rapunzel Stencil Horses Notebook Journal Notebook Blank Lined Ruled 6x9 100 Pages. Independently Published, 2020.

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Wood, Adam. Think, Talk, Feel Positive: Beautiful Pink Swirl Artwork Journal with Positive Reminder and Mantra for Adults. Made for Note Taking, Journaling, Writers and Creatives Looking to Stay Positive! - 6 X9 , 120 Pages, Wide Ruled. Independently Published, 2020.

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Book chapters on the topic "SWRL rule"

1

Wang, Xing, Z. M. Ma, Li Yan, and Xiangfu Meng. "Vague-SWRL: A Fuzzy Extension of SWRL." In Web Reasoning and Rule Systems, 232–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-88737-9_20.

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Matheus, Christopher J. "SWRLp: An XML-Based SWRL Presentation Syntax." In Rules and Rule Markup Languages for the Semantic Web, 194–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30504-0_16.

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Keßler, Carsten. "A RESTful SWRL Rule Editor." In Web Reasoning and Rule Systems, 235–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15918-3_22.

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Sánchez-Macián, Alfonso, Encarna Pastor, Jorge E. de López Vergara, and David López. "Extending SWRL to Enhance Mathematical Support." In Web Reasoning and Rule Systems, 358–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72982-2_30.

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McKenzie, Craig, Peter Gray, and Alun Preece. "Extending SWRL to Express Fully-Quantified Constraints." In Rules and Rule Markup Languages for the Semantic Web, 139–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30504-0_11.

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Hassanpour, Saeed, Martin J. O’Connor, and Amar K. Das. "Visualizing Logical Dependencies in SWRL Rule Bases." In Semantic Web Rules, 259–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16289-3_22.

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Varadharajulu, Premalatha, Lesley Arnold, David A. McMeekin, Geoff West, and Simon Moncrieff. "SWRL Rule Development to Automate Spatial Transactions in Government." In Communications in Computer and Information Science, 122–42. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62618-5_8.

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Orlando, João Paulo, Mark A. Musen, and Dilvan A. Moreira. "User Extensible System to Identify Problems in OWL Ontologies and SWRL Rules." In Rule Technologies: Foundations, Tools, and Applications, 112–26. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21542-6_8.

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Hassanpour, Saeed, Martin J. O’Connor, and Amar K. Das. "Exploration of SWRL Rule Bases through Visualization, Paraphrasing, and Categorization of Rules." In Lecture Notes in Computer Science, 246–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04985-9_23.

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Billet, Yves-Gaël, Christophe Gravier, and Jacques Fayolle. "SWRL-Based Context Awareness for Application Servers Hosting Digital Services." In Rule-Based Modeling and Computing on the Semantic Web, 222–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24908-2_24.

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Conference papers on the topic "SWRL rule"

1

Sun, Yunchuan, Junsheng Zhang, Wei Zhao, and Yingjie Tian. "Managing and Refining Rule Set for SWRL." In 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2008. http://dx.doi.org/10.1109/wicom.2008.2669.

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Geyer, Jannik, Johannes Nguyen, Thomas Farrenkopf, and Michael Guckert. "Single Rule Evaluation (SRE): Computational Algorithmic Debugging for Complex SWRL Rules." In 10th International Conference on Knowledge Engineering and Ontology Development. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006924101910198.

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Fan, Hong, Zhihua Wang, and Wu Du. "SWRL rule based precondition and effects service matching." In IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2012. http://dx.doi.org/10.1109/igarss.2012.6351376.

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Li, Wan, Dongbo Ma, Xiuhua Geng, Li Zhu, Zhong Wan, and Hong Li. "Generating Reasoning Plan of SWRL Rule with Spark." In 2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE). IEEE, 2020. http://dx.doi.org/10.1109/auteee50969.2020.9315684.

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"SWRL Rule Editor - A Web Application as Rich as Desktop Business Rule Editors." In 14th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003999402580263.

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"SAM- Semantic Agent Model for SWRL Rule-based Agents." In 2nd International Conference on Agents and Artificial Intelligence. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0002689002450248.

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Kim, Kyoung-Yun, and Hyungjeong Yang. "The Role of Mereotopology and SWRL Rules to Represent Joint Topology Information for Design Collaboration." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49192.

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This paper discusses the role of mereotopology and SWRL (Semantic Web Rule Language) to represent joint topology. Within the physical structure of engineered products, joints are inevitable because of the limitations of component geometries and the required engineering properties. While joints themselves may have similar geometrical configurations, the physical implications of the selected joining processes vary significantly. Mereotopology provides a formal region-based theory for parts and associated concepts. The mereotopologically defined joints topologies are implemented in SWRL (Semantic Web Rule Languages) to overcome the lack of universality of semantic definitions. The paper also presents the conversion rules to translate the mereotopological joint definitions to SWRL rules. These rules can be reasoned for software agents to understand the different joint topologies. This contribution is illustrated by using a real fixture assembly. Also, the remaining challenges to realize a semantic assembly joint design environment are discussed in this paper.
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Noh, Jung-Do, and Hyo-Won Suh. "Layered Product Knowledge Representation and Reasoning With OWL and SWRL." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49720.

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Traditionally, product development process has required knowledge management techniques to capture information and knowledge about design. In the meantime, the necessity for sharing and exchanging not only product data but also semantics of product data has been arisen because of the use of various software tools and product data models in distributed product development environment. The main focus of this research has been on exploiting implicit engineers’ design knowledge by explicitly expressing and sharing the knowledge through terms representing semantics of product data. In particular, it considers that distributed product design data can be semantically integrated by using ontology on which implicit design knowledge can be captured in the form of IF-THEN rule. Thus, in this paper, we use the Web Ontology Language (OWL), which is a Description Logic based ontology language, to represent product data and the Semantic Web Rule Language (SWRL), which is a rule based ontology language, to express design knowledge for car air purifiers in Prote´ge´. Then, this paper shows how OWL product data model and SWRL design knowledge can support design decision making of car air purifiers by their reasoning. In addition, it also demonstrates how SWRL can complement OWL to build product data model as well.
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Ameri, Farhad, and Christian McArthur. "An Experimental Evaluation of a Rule-Based Approach to Manufacturing Supplier Discovery in Distributed Environments." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47768.

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Manufacturing supplier discovery in virtual environments is a computationally intensive task. Existing electronic marketplaces for manufacturing services, due to their syntactic and human-oriented approach in search, fail to build accurate connection between seller and buyers. Automation and intelligence are the two key requirements of web-based solution for efficient deployment of virtual supply chains. It was previously shown that an ontological approach, because of its semantic nature, yields more precise results compared to traditional techniques such as keyword search. While the proposed ontology, known as Manufacturing Service Description Language (MSDL), can sufficiently encode structural knowledge in the manufacturing domain, it doesn’t have the required level of expressivity for representing constraint knowledge. This paper introduces an extension to MSDL for formal representation of constraints and rules based on Semantic Web Rule Language (SWRL). To identify the rules and to evaluate the performance of the rule-based technique, an experimental approach is followed in this research.
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Vinu, P. V., P. C. Sherimon, and Reshmy Krishnan. "Modeling of Test Specifications of Raw Materials in Seafood Ontology using Semantic Web Rule Language (SWRL)." In the 2015 International Conference. New York, New York, USA: ACM Press, 2015. http://dx.doi.org/10.1145/2743065.2743066.

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