Journal articles on the topic 'Reasoning services'

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1

Criado, N., J. M. Such, and V. Botti. "Norm reasoning services." Information Systems Frontiers 16, no. 2 (September 6, 2013): 201–23. http://dx.doi.org/10.1007/s10796-013-9444-7.

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Srivastava, Rajendra P., and Theodore J. Mock. "Evidential Reasoning for WebTrust Assurance Services." Journal of Management Information Systems 16, no. 3 (December 1999): 11–32. http://dx.doi.org/10.1080/07421222.1999.11518254.

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Steller, Luke Albert, Shonali Krishnaswamy, and Mohamed Methat Gaber. "Enabling Scalable Semantic Reasoning for Mobile Services." International Journal on Semantic Web and Information Systems 5, no. 2 (April 2009): 91–116. http://dx.doi.org/10.4018/jswis.2009040104.

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Chua, Hui Na, and S. M. F. D. Syed Mustapha. "Converged services composition with case-based reasoning." International Journal of Information and Communication Technology 13, no. 3 (2018): 257. http://dx.doi.org/10.1504/ijict.2018.094316.

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Chua, Hui Na, and S. M. F. D. Syed Mustapha. "Converged services composition with case-based reasoning." International Journal of Information and Communication Technology 13, no. 3 (2018): 257. http://dx.doi.org/10.1504/ijict.2018.10012282.

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Chun, Sungkyu, Giho Jang, Hyosook Jung, Seung-Seok Kang, and Seongbin Park. "Adaptive Hypermedia Services Using Semantic Web Reasoning." Advanced Science Letters 22, no. 11 (November 1, 2016): 3279–83. http://dx.doi.org/10.1166/asl.2016.7881.

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Bădică, Costin, Nick Bassiliades, Sorin Ilie, and Kalliopi Kravari. "Agent reasoning on the web using web services?" Computer Science and Information Systems 11, no. 2 (2014): 697–721. http://dx.doi.org/10.2298/csis140301038b.

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In this paper we present an approach for reusing agent-based reasoning capabilities by making them available for invocation as Web services. In this way, we provide the missing link between the highly interoperable Web services and the autonomicity and intelligence of agent-based systems, so that the latter can be seamlessly integrated into the knowledge-rich SemanticWeb environment without being compromised by isolated communication platforms and languages or restricted to only one or just few reasoning formalisms. We have achieved this by extending the EMERALD framework for agent based reasoning with a Web service interface. Our approach is exemplified by the development of an online system for intelligent brokering of apartment rentals. The broker intelligence is captured as a defeasible knowledge base, while its problem solving process involves the invocation of third party defeasible reasoning Web services included into the EMERALD framework.
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Sujana, Edy, and Nyoman Ayu Wulan Trisna Dewi. "The Effect of Moral Reasoning on Intention to Fraud in the Procurement of Goods and Services under Obedience Pressure: An Experimental Study." Jurnal Ilmiah Akuntansi 6, no. 2 (January 12, 2022): 413. http://dx.doi.org/10.23887/jia.v6i2.38944.

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This study examines the influence of obedience pressure and individual moral reasoning on the attention to commit fraud in the context of the procurement of goods and services. This study uses a 2x2 factorial experimental design. The participants in this study were undergraduate accounting students who have passed courses in Professional Ethics, Public Sector Accounting, and Forensic Accounting who acted as implementers of the procurement of goods and services. Hypothesis testing in this study used ANOVA. The results of this study found the effect of obedience pressure and individual moral reasoning in committing fraud in the procurement of goods and services. Under conditions of obedience pressure, individuals with low moral reasoning will tend to commit fraud compared to individuals with high moral reasoning. Thus, individuals who have high moral reasoning tend to behave ethically, even though they are faced with pressure from superiors.
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Shuang Qiu, Yadong Wang, Yongzhuang Liu, and Liang Cheng. "Bioinformatics Web Services Composition with Case based Reasoning." Journal of Convergence Information Technology 6, no. 2 (February 28, 2011): 240–53. http://dx.doi.org/10.4156/jcit.vol6.issue2.25.

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Ali, Rahman, Muhammad Afzal, Maqbool Hussain, Maqbool Ali, Muhammad Hameed Siddiqi, Sungyoung Lee, and Byeong Ho Kang. "Multimodal hybrid reasoning methodology for personalized wellbeing services." Computers in Biology and Medicine 69 (February 2016): 10–28. http://dx.doi.org/10.1016/j.compbiomed.2015.11.013.

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Lee, Chiung-Hon Leon, Alan Liu, and Huan-Hsian Huang. "Using Planning and Case-Based Reasoning for Service Composition." Journal of Advanced Computational Intelligence and Intelligent Informatics 14, no. 5 (July 20, 2010): 540–48. http://dx.doi.org/10.20965/jaciii.2010.p0540.

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Planning commonly applied to automating Web Service composition involves two problems - (i) overlooked user needs combined with services provided by the systems themselves and outside services providing a much more flexible service model. (ii) “Speeding up” and “facilitating” services by not recording information about service providers already having served users and about planning already processed. We propose merging internal and external services to meet user needs. Internal services include system functions designed to meet user needs. External services mean Web services provided by outside service providers. We plan to combine both types of services to create planning to meet user needs. We apply case-based reasoning to store planning and related information in a case base to make planning much faster when users have similar needs.
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Lecue, Freddy. "Personalizing Your Web Services with Constructive DL Reasoning Join." Proceedings of the AAAI Conference on Artificial Intelligence 25, no. 1 (August 4, 2011): 1216–21. http://dx.doi.org/10.1609/aaai.v25i1.8079.

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Nowadays web users have clearly expressed their wishes to receive and interact with personalized services directly. However, existing approaches, largely syntactic content-based, fail to provide robust, accurate and useful personalized services to its users. Towards such an issue, the semantic web provides technologies to annotate and match services’ descriptions with users’ features, interests and preferences, thus allowing for more efficient access to services and more generally information. The aim of our work, part of service personalization, is on automated instantiation of services which is crucial for advanced usability i.e., how to prepare and present services ready to be executed while limiting useless interactions with users? We introduce the constructive Description Logics reasoning join and couple it with concept abduction to i) identify useful parts of users profiles that satisfy services requirements and ii) compute the description required by a service to be executed but not provided by users profiles.
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Ren, Yuan, Jeff Pan, and Yuting Zhao. "Soundness Preserving Approximation for TBox Reasoning." Proceedings of the AAAI Conference on Artificial Intelligence 24, no. 1 (July 3, 2010): 351–56. http://dx.doi.org/10.1609/aaai.v24i1.7602.

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Large scale ontology applications require efficient and robust description logic (DL) reasoning services. Expressive DLs usually have very high worst case complexity while tractable DLs are restricted in terms of expressive power. This brings a new challenge: can users use expressive DLs to build their ontologies and still enjoy the efficient services as in tractable languages. In this paper, we present a soundness preserving approximate reasoning framework for TBox reasoning in OWL2-DL. The ontologies are encoded into EL++ with additional data structures. A tractable algorithm is presented to classify such approximation by realizing more and more inference patterns. Preliminary evaluation shows that our approach can classify existing benchmarks in large scale efficiently with a high recall.
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Lee, Chang-Hun, Ji-Ho Kim, and Oh-Young Song. "Context-Aware Reasoning System for Personalized u-City Services." KIPS Transactions:PartC 16C, no. 1 (February 28, 2009): 109–16. http://dx.doi.org/10.3745/kipstc.2009.16-c.1.109.

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Gutman, V. "Ethical Reasoning and Mental Health Services with Deaf Clients." Journal of Deaf Studies and Deaf Education 10, no. 2 (April 1, 2005): 171–83. http://dx.doi.org/10.1093/deafed/eni017.

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Stewart, Alan, Joaquim Gabarro, and Anthony Keenan. "Reasoning about orchestrations of web services using partial correctness." Formal Aspects of Computing 25, no. 6 (November 16, 2011): 833–46. http://dx.doi.org/10.1007/s00165-011-0212-5.

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Salaun, Gwen, Lucas Bordeaux, and Marco Schaerf. "Describing and reasoning on Web Services using Process Algebra." International Journal of Business Process Integration and Management 1, no. 2 (2006): 116. http://dx.doi.org/10.1504/ijbpim.2006.010025.

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Zhang, Xiaowang, Zhiyong Feng, Wenrui Wu, Xin Wang, and Guozheng Rao. "PROSE." International Journal on Semantic Web and Information Systems 14, no. 1 (January 2018): 121–39. http://dx.doi.org/10.4018/ijswis.2018010105.

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The study of paraconsistent reasoning with ontologies is especially important for the Semantic Web since knowledge is not always perfect within it. However, classical OWL reasoners cannot support reasoning with inconsistent ontologies. In this article, the authors present a plugin-based framework called prose to provide rich paraconsistent reasoning services for OWL ontologies, whose architecture contains the three following parts: a classical OWL reasoner, a multi-valued transformer, and an OWL API connecting with them. Within the proposed framework prose, they implement different multi-valued paraconsistent reasoning in the OWL. Moreover, they select three popular classical OWL reasoners and two typical kinds of reasoning services for users. As the authors excepted, prose does exactly enable current classical OWL reasoners to tolerate inconsistency in a simple and convenient way. Finally, they evaluate the three reasoners in a united framework (prose) and, as a result, those results can amend the analysis of the three reasoners on inconsistent ontologies.
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19

KABASSI, KATERINA, MARIA VIRVOU, and GEORGE A. TSIHRINTZIS. "WEB SERVICES USER MODEL SERVER PERFORMING DECISION MAKING." International Journal of Pattern Recognition and Artificial Intelligence 21, no. 02 (March 2007): 245–64. http://dx.doi.org/10.1142/s0218001407005454.

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This paper presents a user model server based on Web Services. User model servers are very important because they allow reusability of user modeling reasoning mechanisms which are typically very complex and difficult to construct from scratch. In this paper we show how the potential of interoperability, reusability and component sharing offered by the technology of Web Services have been exploited in the design of a user model server that performs decision making. The reasoning of the user modeling is based on a multi-criteria decision making theory and has been implemented as a Web Service to provide intelligent assistance to users over the Web. Reusability has been shown through the successful application of the user model server into two different applications: an e-mail and a file manager application.
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LUTHER, MARKO, YUSUKE FUKAZAWA, MATTHIAS WAGNER, and SHOJI KURAKAKE. "Situational reasoning for task-oriented mobile service recommendation." Knowledge Engineering Review 23, no. 1 (March 2008): 7–19. http://dx.doi.org/10.1017/s0269888907001300.

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AbstractWe study the case of integrating situational reasoning into a mobile service recommendation system. Since mobile Internet services are rapidly proliferating, finding and using appropriate services require profound service descriptions. As a consequence, for average mobile users it is nowadays virtually impossible to find the most appropriate service among the many offered. To overcome these difficulties, task navigation systems have been proposed to guide users towards best-fitting services. Our goal is to improve the user experience of such task navigation systems making them context-aware (i.e. to optimize service navigation by taking the user's situation into account). We propose the integration of a situational reasoning engine that applies classification-based inference to qualitative context elements, gathered from multiple sources and represented using ontologies. The extended task navigator enables the delivery of situation-aware recommendations in a proactive way. Initial experiments with the extended system indicate a considerable improvement of the navigator's usability.
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Liu, Fangfang, Yan Chi, Jie Yu, Xiangfeng Luo, and Zheng Xu. "Discovery of Web Service Flow based on Service Context." International Journal of Web Services Research 8, no. 4 (October 2011): 29–46. http://dx.doi.org/10.4018/jwsr.2011100102.

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The growing number of services faces the need to combine them to create complex services and meet users’ requirements. Discovery based on the similarity evaluation only focuses on those services with similar functions. Techniques based on the conventional semantic Web offer many relations to connect services, but considerable time is spent on reasoning. This paper proposes an approach to discover associated service flows for the purpose of combination. The authors firstly obtain the text descriptions with rich semantics about the service functions from the Web to build the service contexts. They then create E-FCM representation for services based on the contexts to describe the functions of services because it can keep the semantic information and be automatically created. Furthermore, instead of reasoning, the association relations among services can be quickly found based on computation. Associated web service flows are generated from the association relations to recommend services with related functions to users. Thus, discovery effectiveness can be improved and facilitate the utilization of services.
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22

Guessoum, Djamel, Moeiz Miraoui, and Chakib Tadj. "Contextual case-based reasoning applied to a mobile device." International Journal of Pervasive Computing and Communications 13, no. 3 (September 4, 2017): 282–99. http://dx.doi.org/10.1108/ijpcc-11-2016-0056.

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Purpose This paper aims to apply a contextual case-based reasoning (CBR) to a mobile device. The CBR method was chosen because it does not require training, demands minimal processing resources and easily integrates with the dynamic and uncertain nature of pervasive computing. Based on a mobile user’s location and activity, which can be determined through the device’s inertial sensors and GPS capabilities, it is possible to select and offer appropriate services to this user. Design/methodology/approach The proposed approach comprises two stages. The first stage uses simple semantic similarity measures to retrieve the case from the case base that best matches the current case. In the second stage, the obtained selection of services is then filtered based on current contextual information. Findings This two-stage method adds a higher level of relevance to the services proposed to the user; yet, it is easy to implement on a mobile device. Originality/value A two-stage CBR using light processing methods and generating context aware services is discussed. Ontological location modeling adds reasoning flexibility and knowledge sharing capabilities.
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Osman, Taha, Dhavalkumar Thakker, and David Al-Dabass. "Utilisation of Case-Based Reasoning for Semantic Web Services Composition." International Journal of Intelligent Information Technologies 5, no. 1 (January 2009): 24–42. http://dx.doi.org/10.4018/jiit.2009092102.

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Sekkal, Nawel, Sidi Mohamed Benslimane, Michael Mrissa, Cheol Young Park, and Boudjemaa Boudaa. "Proactive and reactive context reasoning architecture for smart web services." International Journal of Data Mining, Modelling and Management 12, no. 1 (2020): 1. http://dx.doi.org/10.1504/ijdmmm.2020.105609.

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Boudjemaa, BOUDAA, PARK Cheol Young, BENSLIMANE Sidi Mohammed, MRISSA Michael, and SEKKAL Nawel. "Proactive and reactive context reasoning architecture for smart web services." International Journal of Data Mining, Modelling and Management 13, no. 1/2 (2021): 1. http://dx.doi.org/10.1504/ijdmmm.2021.10023541.

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Utami, Sri, and Zulkardi. "Developing proportional reasoning problem like PISA with “choosing services” context." Journal of Physics: Conference Series 1470 (February 2020): 012084. http://dx.doi.org/10.1088/1742-6596/1470/1/012084.

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Lakin, Joni M., and Jonathan Wai. "Making space for spatial talent." Phi Delta Kappan 102, no. 4 (November 23, 2020): 36–39. http://dx.doi.org/10.1177/0031721720978061.

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Spatial reasoning — the ability to mentally visualize, transform, and recognize symbolic information — is known to predict long-term success in many educational and occupational areas, including in STEM. Despite this, spatial reasoning measures are virtually absent in K-12 tests. Thus, such strengths are not prioritized in gifted identification and talent development. Joni Lakin and Jonathan Wai discuss why spatial reasoning matters for finding and developing talent, services schools might provide for students with these strengths, and how understanding spatial reasoning can help education leaders expand access to gifted education.
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González, Juan Miguel Rosa, Miguel Eduardo Moreno Añez, and Hilka Vier Machado. "Effectual Reasoning and Causal Reasoning in Creating New Businesses: A Case Study." Revista Ibero-Americana de Estratégia 10, no. 2 (October 24, 2011): 140–58. http://dx.doi.org/10.5585/ijsm.v10i2.1718.

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This article focuses on the process of new business creation, considering the effectuation approach, which explains the phenomenon of entrepreneurship in a different perspective than the traditional causal approach. Beginning with a description of the effectual approach assumptions, a case study about the subject is presented in order to explore the logic of the business creation process. The case discusses a Brazilian organization created in 1980 to produce materials and services in steel industry. Through structured interview with the entrepreneur who idealized the business, the main events in the early stages of the project are described. The results show the relationship between entrepreneur’s means available at the time of the enterprise creation and the new business design. In addition, the entrepreneur preferred a strategy of drawing instead of a decision one, and gave priority to strategic partnerships as a substitute of formal market research. All these aspects are covered by the effectual approach.
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PENDERS, ATE, GREGOR PAVLIN, and MICHIEL KAMERMANS. "A COLLABORATIVE APPROACH TO CONSTRUCTION OF LARGE SCALE DISTRIBUTED REASONING SYSTEMS." International Journal on Artificial Intelligence Tools 20, no. 06 (December 2011): 1083–106. http://dx.doi.org/10.1142/s021821301100053x.

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This paper introduces a new collaborative approach to construction of large scale service oriented systems supporting distributed reasoning. In particular, we assume systems in which complex situation assessment is carried out through composition of heterogeneous services, each specialized for a particular type of analysis. Different services are composed automatically by using service discovery and negotiation. One of the major challenges in such settings is efficient definition of a large number of different types of services. The presented solution supports efficient definition of services by using a combination of light weight service ontologies, efficient construction procedures and tools. In particular, machine-understandable descriptions of heterogeneous services with well defined syntax and semantics can be created by multiple designers, without complex coordination of collaborative design processes and without any knowledge of formal ontologies.
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Lau, Raymond Y. K., and Wenping Zhang. "Non-Monotonic Modeling for Personalized Services Retrieval and Selection." International Journal of Systems and Service-Oriented Engineering 1, no. 2 (April 2010): 55–68. http://dx.doi.org/10.4018/jssoe.2010040104.

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With growing interest in Semantic Web services and emerging standards, such as OWL, WSMO, and SWSL in particular, the importance of applying logic-based models to develop core elements of the intelligent Semantic Web has been more closely examined. However, little research has been conducted in Semantic Web services on issues of non-mono-tonicity and uncertainty of Web services retrieval and selection. In this paper, the authors propose a non-monotonic modeling and uncertainty reasoning framework to address problems related to adaptive and personalized services retrieval and selection in the context of micro-payment processing of electronic commerce. As intelligent payment service agents are faced with uncertain and incomplete service information available on the Internet, non-monotonic modeling and reasoning provides a robust and powerful framework to enable agents to make service-related decisions quickly and effectively with reference to an electronic payment processing cycle.
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Medhurst, Angela, and Susan Ryan. "Clinical Reasoning in Local Authority Paediatric Occupational Therapy: Planning a Major Adaptation for the Child with a Degenerative Condition, Part 1." British Journal of Occupational Therapy 59, no. 5 (May 1996): 203–6. http://dx.doi.org/10.1177/030802269605900504.

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Three-track reasoning, narratives and reflective practice frameworks form the background for examining the clinical reasoning of a social services occupational therapist during a supervision session. Telling the story of a child with a degenerative condition and the family's needs to the service manager helps to clarify the underlying meanings in the unfolding events the therapist is confronted with. Her reasoning is further challenged by presenting this work to her peers on a postgraduate course on clinical reasoning. This article provides the background and theory base for examining the use of narratives in greater depth in part 2.
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Chen, Shih-Chin, and Sheng-Yuan Yang. "A Web Services, Ontology and Big Data Analysis Technology-Based Cloud Case-Based Reasoning Agent for Energy Conservation of Sustainability Science." Applied Sciences 10, no. 4 (February 19, 2020): 1387. http://dx.doi.org/10.3390/app10041387.

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Energy conservation is one of the important topics for sustainability science, while case-based reasoning is one of the most important techniques for sustainable processing. This study aimed to develop a cloud case-based reasoning agent that integrates multiple intelligent technologies and supports, which can help users to quickly, accurately, and effectively obtain useful cloud energy-saving information in a timely manner for sustainability science. The system was successfully built with the support of Web services technology, ontology, and big data analytics. To set up this energy-saving case-based reasoning agent, this study reviewed the relevant technologies for building a web services platform and explored how to widely integrate and support the cloud interaction of the energy-saving data processing agent via the technologies. In addition to presenting relevant R&D technologies and results in detail, this study carefully conducted performance and learning experiments to prove the system’s effectiveness. The results showed that the core technology of the case-based reasoning agent achieved good performance and that the learning effectiveness of the overall system was also great.
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Sitepu, Edward, Slamet Triadi, Stefanus Djoko Budianto, and Mathias A. "Interpret The Conversation of The Lord Jesus in the Gospel of John Heuristic Approach." Cultural Landscapes Insights 2, no. 1 (April 2, 2024): 43–53. http://dx.doi.org/10.59762/cli901324532120240305154150.

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The Gospel of John contains several individual conversations.The conversations included Nicodemus, a Samaritan woman, and a Man born blind. To interpret the content of the conversations, the author uses a Heuristic reasoning approach; the findings of the study show the benefits and depth of heuristic reasoning, especially the content of the conversation and its application in Christian education services.
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Wang, Puwei, Zhi Jin, Lin Liu, and Budan Wu. "Specifying and Composing Web Services with an Environment Ontology-Based Approach." International Journal of Web Services Research 7, no. 3 (July 2010): 73–92. http://dx.doi.org/10.4018/jwsr.2010070104.

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Precise capability specification is the key for identifying and composing the right Web services. This paper specifies service capabilities in terms of the environment entities from the application domain and the effects imposed by the Web service on these entities. An environment ontology for Web services is adopted to provide formal sharable representations of the domain-specific environment entities. A hierarchical state machine is constructed for each environment entity to describe its behaviors, and the effects imposed by a Web service are described as the state transitions traces of environment entities, which define the capability of the Web service. Web service composition that satisfies a set of requested effects is then conducted by reasoning on the effects of services. The proposed approach emphasizes the external manifestation of Web services and service composition based on the effect reasoning. An example of online travel service illustrates the proposed approach.
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LONG, Jun, Xin-Min LIU, Xin-Pan YUAN, Zu-Ping ZHANG, and Wei-Hua GUI. "A Web Services Composition Strategy Based on Trust Reasoning and Evolution." Chinese Journal of Computers 35, no. 2 (August 14, 2012): 298–314. http://dx.doi.org/10.3724/sp.j.1016.2012.00298.

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Telnov, Victor, and Yuri Korovin. "Semantic web and knowledge graphs as an educational technology of personnel training for nuclear power engineering." Nuclear Energy and Technology 5, no. 3 (September 25, 2019): 273–80. http://dx.doi.org/10.3897/nucet.5.39226.

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The technologies of knowledge representation and inference in an artificial intelligence system focused on the domain of nuclear physics and nuclear power engineering are considered. The possibilities of description logics and graph databases of nuclear knowledge for the generation of cognitive hypotheses, using in addition to deduction and other ways of reasoning, such as inductive inference and reasoning based on analogies, are discussed. The use of adequate description logic and measures of semantic similarity is substantiated. Interactive visual navigation and reasoning on the knowledge graphs are performed by means of special retrieval widgets and the smart RDF browser. Operations with semantic repositories are implemented on cloud platforms using SPARQL queries and RESTful services. The proposed software solutions are based on cloud computing using DBaaS and PaaS service models to ensure scalability of data warehouses and network services. Example of use of the offered technologies and software has been given.
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Guermah, Hatim, Bassma Guermah, Tarik Fissaa, Hatim Hafiddi, and Mahmoud Nassar. "Dealing With Context Awareness for Service-Oriented Systems." International Journal of Service Science, Management, Engineering, and Technology 12, no. 4 (July 2021): 110–31. http://dx.doi.org/10.4018/ijssmet.2021070107.

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In recent years, rapid advances in the enabling technologies for mobile and ubiquitous computing, software paradigms, embedded sensor technologies, and wide range of wired and wireless protocols have been witnessed. Specifically, context-aware services-oriented applications are emerging as the next computing paradigm in which infrastructure and services are seamlessly available. Context-awareness, being an important ingredient, plays a vital role in enabling such interactive smart environments. More recently, the increasing popularity of ontologies has led to new ontology-based models of context because of their potential to support sophisticated ontology-based reasoning methods. This paper presents an architecture for the development of context-aware services based on ontologies. The authors highlight the context metamodel and discuss about reasoning process. This research also presents the semantic approach for service adaptation in context aware environment.
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Aliti, Admirim, Edmond Jajaga, and Kozeta Sevrani. "A need for an integrative security model for semantic stream reasoning systems." International Journal of Business & Technology 6, no. 3 (May 1, 2018): 1–4. http://dx.doi.org/10.33107/ijbte.2018.6.3.01.

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State-of-the-art security frameworks have been extensively addressing security issues for web resources, agents and services in the Semantic Web. The provision of Stream Reasoning as a new area spanning Semantic Web and Data Stream Management Systems has eventually opened up new challenges. Namely, their decentralized nature, the metadata descriptions, the number of users, agents, and services, make securing Stream Reasoning systems difficult to handle. Thus, there is an inherent need of developing new security models which will handle security and automate security mechanisms to a more autonomous system that supports complex and dynamic relationships between data, clients and service providers. We plan to validate our approach on a typical application of stream data, on Wireless Sensor Networks (WSNs). In particular, WSNs for water quality monitoring will serve as a case study. The paper describes the initial findings and research plan for building a consistent security model for stream reasoning systems.
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Sonar, Rajendra M. "Towards Automation of Business Intelligence Services Using Hybrid Intelligent System Approach." International Journal of Business Intelligence Research 4, no. 4 (October 2013): 61–92. http://dx.doi.org/10.4018/ijbir.2013100105.

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Business Intelligence (BI) includes many tools, techniques and technologies. BI processes often involve team of human decision makers and end-users to extract, explore and analyse the data. The results, decisions or models after analysis need to be implemented into operational systems. There can be considerable time delay between business events happening and action taken thus loosing opportunities. Intelligent techniques such as rule-based reasoning and case-based reasoning have been used extensively to address wide range of intelligent tasks including personalisation and recommendation. Some BI tasks can be modelled, automated and delivered through services rather than done on ad-hoc basis. The authors represent a service based approach to BI where a service corresponds to a well defined analytical functionality implemented using intelligent technique(s), filtering techniques or hybrids of them accessing only relevant data from database specifically modelled and designed for such tasks. The authors discuss an application of the approach for a value-added service in mobile domain.
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Asuncion, Vernon, Khaled M. khan, Abdelkarim Erradi, and Saleh Alhazbi. "Reasoning About Policies in Security-Aware Service Discovery Using Answer Set Programming." International Journal of Cooperative Information Systems 25, no. 01 (March 2016): 1650003. http://dx.doi.org/10.1142/s0218843016500039.

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In order to enable a secure interaction between dynamically discovered software services and the client’s application in a cooperative information system such as service oriented system, one of the pre-requisites is the reconciliation of service-specific security policies of all stakeholders. Existing service discovery research does not address the issue of enormous search space in finding security-aware services based on preferred security policy alternatives of the client of software services. In this paper, we propose an answer set programming (ASP) approach, drawn from the field of artificial intelligence (AI), to explore a viable solution of finding security-aware services for the client. We argue that the ASP approach can significantly reduce the search space and achieve great performance gains. We use ASP to: (i) specify security policies including expressing service-specific security preference weighting and importance scoring in quantifiable terms; and (ii) reason about the compliance between the security policies of the client and the software service.
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41

Baader, Franz, Meghyn Bienvenu, Carsten Lutz, and Frank Wolter. "Query and Predicate Emptiness in Ontology-Based Data Access." Journal of Artificial Intelligence Research 56 (May 30, 2016): 1–59. http://dx.doi.org/10.1613/jair.4866.

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In ontology-based data access (OBDA), database querying is enriched with an ontology that provides domain knowledge and additional vocabulary for query formulation. We identify query emptiness and predicate emptiness as two central reasoning services in this context. Query emptiness asks whether a given query has an empty answer over all databases formulated in a given vocabulary. Predicate emptiness is defined analogously, but quantifies universally over all queries that contain a given predicate. In this paper, we determine the computational complexity of query emptiness and predicate emptiness in the EL, DL-Lite, and ALC-families of description logics, investigate the connection to ontology modules, and perform a practical case study to evaluate the new reasoning services.
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42

Jiang, Ya Qiong, and Jun Wang. "Knowledge-Based Description Logic ALCO Knowledge Compiled Algorithm to Determine Consistency." Advanced Materials Research 487 (March 2012): 347–51. http://dx.doi.org/10.4028/www.scientific.net/amr.487.347.

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Knowledge compilation is a common technique for propositional logic knowledge bases. A given knowledge base is transformed into a normal form, for which reasoning can be answered efficiently. The precompilation of description logic knowledge base is important for reasoning and services of description logic. This paper gives precompilation about the description logic ALCO TBox based on knowledge compilation techniques, for which the consistency of TBox can be determined.
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43

El Ghouch, Nihad, EL Mokhtar En-Naimi, and Mohamed Kouissi. "Implementation of an Adaptive Learning System based on Agents and Web Services." International Journal of Emerging Technologies in Learning (iJET) 15, no. 14 (July 31, 2020): 162. http://dx.doi.org/10.3991/ijet.v15i14.13837.

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Today, the integration of web services and agent technology into Internet applications has attracted the attention of many researchers, so that these applications allow a web service to call an agent service and vice versa. Web services are emerging and promising technologies for the development, deploy-ment and integration of the Internet applications and the use of agents makes them dynamic and automatic, they can provide updates when there is new infor-mation available and improve the qualities of web services by exploiting the ca-pacities and the characteristics of agents. In this context, we propose a prototype of a multi-agent adaptive learning system based on Incremental Hybrid Case Based Reasoning in order to support the learner in his learning process by offer-ing him a learning path adapted to his profile and predict his future learning. This support will be achieved through the execution of a hybrid cycle of Case Based Reasoning which brings together a set of agents collaborating and interacting with each other to provide specific services.
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44

Ichwani, Arief, and Suprapto Suprapto. "Cased Based Reasoning to Identify Cause Conflicts in Marriage." IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 13, no. 1 (January 31, 2019): 1. http://dx.doi.org/10.22146/ijccs.24861.

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The function of KUA in the activities surrounding the religion of Islam, including providing service and guidance in the area of present services in terms of marriage and reconcilement for Muslims, provide services and guidance in the field of development of Sakina, family consultation conflict or household problems, and so on. Integration between the computer and artificial intelligence into the post-wedding consulting services is one approach in overcoming the limitations of the expert (religious instructor).This research aims to identify conflict in marriage by applying Naive Bayes algorithm at the stage of determining the groups of test data (retrieve), then entered the stage of the search process of the highest similarity value by using the Nearest Neighbor algorithm (reuse). The data source and the test data used are divided into two groups, namely marriage, and history data consultation, While the group conflicts are identified will be divided into five classes, namely an employment factor, the factor of age, educational factors, factors the number of weddings, and social status.Testing is performed by the use of 12 data, consisting of 11 data cases and 1 test data. At the stage of determination of group conflict acquired test data included in group one i.e. F001 (factor of the job), so at the stage of looking for value similarities used only the base case of the class F001 i.e. KK001, KK003, and KK008. The KK001 similarity has a value of 0476, KK003 of 0882, and KK008 of 0142. The case with most high similarity value will be stored as a base case. If the value similarity obtained less than the threshold value that is 0.8, then the solution of the case will be revised by experts. The results of the calculation accuracy, using 35 new test data that gets the value of 82.86%.
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Tyagi, Aman, and Preetvanti Singh. "ACS: Asthma Care Services with the Help of Case Base Reasoning Technique." Procedia Computer Science 48 (2015): 561–67. http://dx.doi.org/10.1016/j.procs.2015.04.136.

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46

Loia, Vincenzo, Sabrina Senatore, and Maria I. Sessa. "Combining agent technology and similarity-based reasoning for targeted E-mail services." Fuzzy Sets and Systems 145, no. 1 (July 2004): 29–56. http://dx.doi.org/10.1016/j.fss.2003.10.004.

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47

Juujärvi, Soile, Kaija Pesso, and Liisa Myyry. "Care-based ethical reasoning among first-year nursing and social services students." Journal of Advanced Nursing 67, no. 2 (October 15, 2010): 418–27. http://dx.doi.org/10.1111/j.1365-2648.2010.05461.x.

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48

Calvanese, D., M. Ortiz, M. Simkus, and G. Stefanoni. "Reasoning about Explanations for Negative Query Answers in DL-Lite." Journal of Artificial Intelligence Research 48 (November 17, 2013): 635–69. http://dx.doi.org/10.1613/jair.3870.

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In order to meet usability requirements, most logic-based applications provide explanation facilities for reasoning services. This holds also for Description Logics, where research has focused on the explanation of both TBox reasoning and, more recently, query answering. Besides explaining the presence of a tuple in a query answer, it is important to explain also why a given tuple is missing. We address the latter problem for instance and conjunctive query answering over DL-Lite ontologies by adopting abductive reasoning; that is, we look for additions to the ABox that force a given tuple to be in the result. As reasoning tasks we consider existence and recognition of an explanation, and relevance and necessity of a given assertion for an explanation. We characterize the computational complexity of these problems for arbitrary, subset minimal, and cardinality minimal explanations.
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Fanshabi, Achmad Dzikri, and Dede Rahmat Hidayat. "Students' Perceptions And Preferences Regarding Moral Reasoning Through Online Counseling: A Systematic Study." Journal of Social Science (JoSS) 2, no. 12 (January 7, 2024): 1107–12. http://dx.doi.org/10.57185/joss.v2i12.222.

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The level of moral reasoning is very important for children to influence ethics. A student's moral reasoning can increase the desire to apply good morals to students. This study discusses online counseling to improve moral reasoning. The purpose of this study was to explain students' perceptions and preferences for online counseling services to help improve moral reasoning. The systematic review was carried out by the Systematic Review and Meta-Analysis (PRISMA) approach. Initially, there were 80 articles from three databases as follows: PubMed (6 articles), CINAHL (71 articles), and SINTA (3 articles). After reading the title and abstract, 72 articles were eliminated because the title was not under the purpose of the study, and one abstract was irrelevant in content. So, six articles (five articles in the Indonesian context and one article in the Malaysian context) were analyzed.
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Ginn, Diana, and David Blaikie. "Judges and Religious-Based Reasoning." Constitutional Forum / Forum constitutionnel 19, no. 1, 2 & 3 (May 16, 2012): 2011. http://dx.doi.org/10.21991/c9xm29.

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Is it ever acceptable for a judge in a secular liberal demecracyto rely on, and explicitly refer to, religious-based reasoning in reaching a decision? While it is unlikely that many Canadian judges will be seized with the desire to include religious-based reasoning in their judgments, we raise this issue because it allows us to examine the appropriate role of religious-based discourse in a challenging context, where arguments about unconstitutionality are strongest. In a previous article, we concluded that there are no ethical impediments to citizens using such discourse in discussing public affairs. We argued that it is no less virtuous (although it may sometimes be less persuasive) to reason from one’s religious convictions than from any other comprehensive set of values, when advocating for or against public policy alternatives. We would suggest that this is generally also the case for elected representatives. Thus, in our view, it would be perfectly acceptable for a member of a legislature to buttress a call for increased funding for social services by reference to Proverbs 19:17: "One who is gracious to a poor man lends to the Lord." However, it is unconstitutional for a legislature to pass legislation for a religious purpose; therefore, legislators must recognize the distinction between advocating legislation designed to achieve a religious purpose and using religious arguments to support or oppose legislation designed to achieve a public purpose.
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