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检索条件"任意字段=5th International and Interdisciplinary Conference CONTEXT 2005 - Modeling and Using Context"

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Information Recapture Technique for Service Oriented Computing 5

Information Recapture Technique for Service Oriented Computi...

引用

5th IEEE international conference on Computing, Power, and Communication Technologies, IC2PCT 2024

作者： Singh, Takveer Chitkara University Institute of Engineering and Technology Chitkara University Centre for Interdisciplinary Research in Business and Technology Punjab India

ISBN: (纸本)9798350383522

the cloud computing system, which operates via the Internet, provides large, scalable computer resources to users as a service. this technique has attracted significant attention from the scientific and corporate worlds alike. However, the notion of cloud computing lacks methods for knowledge discovery and information retrieval. Put differently, clouds need intelligence and autonomy. Web services are a crucial component of Service Oriented Computing (SOC) in cloud computing environments. Within a cloud context, a single Web service cannot get specific and tailored information from other Web services. Web services may be successfully composed with the aid of agents. this project's primary objective is to offer a method of information extraction in a cloud environment using web services and the multi-agent system idea. © 2024 IEEE.

关键词： Cloud computing information retrieval multi-agent systems web services

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Checklist for Medical Imaging using Artificial Intelligence by Evaluation of Machine Learning Models 5

Checklist for Medical Imaging using Artificial Intelligence ...

引用

5th international conference on Inventive Research in Computing Applications, ICIRCA 2023

作者： Bhatnagar, Sanjay Chitkara University Institute of Engineering and Technology Chitkara University Centre for Interdisciplinary Research in Business and Technology Punjab India

ISBN: (纸本)9798350321425

Enhancing Machine Learning (ML)-based methods that resolve unaddressed medical demands necessitates particular concerns for optimum clinical utility. Latest discussions about the visibility, explainability, and repeatability of ML approaches outlined in this study prompted questions about their clinical utility and appropriateness for inclusion in the present frameworks of evidence-based practice. this highlighted piece emphasizes raising clinicians' ML literacy by arming them with the information and resources required to comprehend and objectively assess the clinical studies encompassing ML. Data collection, feature extraction, model specification, and clinical implementation are the four ML building elements evaluated for rigor and repeatability using a checklist. Such checklists are crucial for ML research to be meticulously and firmly evaluated by clinicians who are informed by the domain expertise of the context in which the results will be implemented. they also help to guarantee quality assurance. © 2023 IEEE.

关键词： Machine learning

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Checklist for Medical Imaging using Artificial Intelligence by Evaluation of Machine Learning Models

Checklist for Medical Imaging using Artificial Intelligence ...

引用

international conference on Inventive Research in Computing Applications (ICIRCA)

作者： Sanjay Bhatnagar Centre for Interdisciplinary Research in Business and Technology Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

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Benefits of Gamified Evaluations for Virtual Education in Pandemic context According to the Peruvian Teachers Perception 5

Benefits of Gamified Evaluations for Virtual Education in Pa...

引用

5th IEEE Sciences and Humanities international Research conference, SHIRCON 2021

作者： Verde-Quintanilla, Joselin Ramirez-Felipe, Nancy Bravo-Llerena, Karin Gonzales-Macavilca, Milton Faculty of Humanities and Social Sciences Universidad de Ciencias y Humanidades Lima Peru Centre for Interdisciplinary Science and Society Studies CIICS Universidad de Ciencias y Humanidades Lima Peru

ISBN: (纸本)9781665429146

Faced with the current pandemic context, in which virtual education has prevailed in most countries, this exploratory research aims to determine the Peruvian teachers' perception about the benefits of using gamified tools for learning assessment. 110 teachers of different educational levels participated, of which 80% were women (88) and 20% men (22), aged between 21 and 61 years. A questionnaire was applied to them to measure the benefits of 5 dimensions: effectiveness, motivation, performance, ubiquity and satisfaction. the results provide an overview of the gamification benefits, but they also reveal differences in the benefits according to educational levels (kindergarten, primary, secondary, and higher education). © 2021 IEEE.

关键词： E-learning

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using Twitter data for consumer research: the Peruvian's consumer perspective on short food supply chains 5

Using Twitter data for consumer research: The Peruvian's con...

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5th IEEE Sciences and Humanities international Research conference, SHIRCON 2021

作者： Ramos-Sandoval, Rosmery Beltran, Carlos Sotomayor Centre for Interdisciplinary Science and Society Studies Universidad de Ciencias y Humanidades Lima Peru Facultad de Ciencias e Ingeniería Universidad de Ciencias y Humanidades Lima Peru

ISBN: (纸本)9781665429146

Twitter is nowadays an excellent tool for gathering user's perceptions on food choices and consumption. thus, by analyzing consumers' tweets, we have studied their points of view regarding the agri-food short supply chain which is supported by the 'De la Chacra a la Olla' Peruvian programme. Sentiment analysis was used on the consumers' tweets along with the Naïve Bayes technique. A total of 1,223 tweets posted between January 2014 and July 2020 were obtained. Our initial findings were that consumers tweets were mainly influenced by context. Furthermore, we conclude that tweets show only informative content related to time and place. Further research is needed to state if the 'De la Chacra a la Olla' Peruvian programme is perceived by the consumers as such. © 2021 IEEE.

关键词： Sentiment analysis

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Generics in context: the robustness and the explanatory implicatures 1

引用

11th international and interdisciplinary conference on modeling and using context, context 2019

作者： Rosola, Martina FiNO Consortium - Università degli studi di Genova Via Balbi 5 GenovaGE16126 Italy

ISBN: (数字)9783030349745

ISBN: (纸本)9783030349738

Generics are sentences that express generalizations about a category or about its members. they display a characteristic context-sensitivity: the same generic can express a statistical regularity, a principled connection, or a norm. Sally Haslanger (2014) argues that this phenomenon depends on the implicit content that generics carry in different contexts. I elaborate on Haslanger’s proposal, arguing that the implicit content of generics is complex and constituted by two different propositions. A first proposition, that I here call the robustness proposition, characterizes as robust the link between the category the generic is about and the predicated property. this proposition is relatively invariant and is, as I claimed elsewhere, a generalized conversational implicature. In this paper, I will argue that a second implicature, the ‘explanatory implicature’, arises which crucially depends on what explanation is called for in a certain context. Given its context-dependence, I conclude that this proposition is a particularized conversational implicature. While generics convey by default that the category and the property are strictly related, the specification of this relation hinges on the characteristics of the context in which the generic occurs. © Springer Nature Switzerland AG 2019.

关键词： Artificial intelligence

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Service-microservice architecture for context-aware content delivery in national geoinformation center of Bulgaria 1

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11th international and interdisciplinary conference on modeling and using context, context 2019

作者： Branzov, Todor Ivanova, Krassimira Georgiev, Mladen Institute of Mathematics and Informatics at the Bulgarian Academy of Sciences Block 8 Acad. B. Bonchev Str. Sofia1113 Bulgaria

ISBN: (数字)9783030349745

ISBN: (纸本)9783030349738

National Geoinformation Center of Bulgaria is a national scientific infrastructure – a consortium with a mission to produce and provide value-added products of Earth observation data gathered by various agencies governed by the state or received through international cooperation. the architecture of the information system of the center is presented – a layered structure that implements concepts of service and microservice, building an organization that reflects the federated nature of the consortium. the paper reviews various implemented design decisions within the perspective of context-aware systems. Four sources of data exploited for the determination of the context of the user are described. the paper concludes with three scenarios prepared as patterns for building context-aware services within the center. © Springer Nature Switzerland AG 2019.

关键词： Architecture

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Modelling context awareness for a situated semantic agent 11th

Modelling context awareness for a situated semantic agent

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11th international and interdisciplinary conference on modeling and using context, context 2019

作者： Vossen, Piek Bajčetić, Lenka Baez, Selene Bašić, Suzana Kraaijeveld, Bram Vrije Universiteit Amsterdam Netherlands

ISBN: (纸本)9783030349738

this paper presents a model of contextual awareness implemented for a social communicative robot Leolani. Our model starts from the assumption that robots and humans need to establish a common ground about the world they share. this is not trivial as robots make many errors and start with little knowledge. As such, the context in which communication takes place can both help and complicate the interaction: if the context is interpreted correctly it helps in disambiguating the signals, but if it is interpreted wrongly it may distort interpretation. We defined the surrounding world as a spatial context, the communication as a discourse context and the interaction as a social context, which are all three interconnected and have an impact on each other. We model the result of the interpretations as symbolic knowledge (RDF) in a triple store to reason over the result, detect conflicts, uncertainty and gaps. We explain how our model tries to combine the contexts and the signal interpretation and we mention future directions of research to improve this complex process. © Springer Nature Switzerland AG 2019.

关键词： Robots

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Measuring insight in the classroom 1

引用

11th international and interdisciplinary conference on modeling and using context, context 2019

作者： Hegarty, John Maubrey, Regis Ipag Business School Paris France Greenway International Paris France

ISBN: (数字)9783030349745

ISBN: (纸本)9783030349738

Organizations learn by comparing practices of employees under different aspects and leverage the lessons learned in improved procedures [9]. this paper reports on a pilot research project that shows how the theory of practice-based organizational learning can be transposed to the classroom. Students’ insights about their learning practice are linked to, and reflected in, better learning performance in the subject matter. Peer-controlled self-evaluation is used to measure subject-matter understanding on a scale inspired by Lonergan’s cognitional theory [12]. the pilot research project presented here was undertaken in the 2018/2019 academic year in a French business school in a management class. A multi-class research project in the same school is planned by the authors for the academic year 2019/2020. © Springer Nature Switzerland AG 2019.

关键词： Students

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context-driven corpus-based model for automatic text segmentation and part of speech tagging in setswana using OpenNLP tool 1

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11th international and interdisciplinary conference on modeling and using context, context 2019

作者： Dibitso, Mary Ambrossine Owolawi, Pius Adewale Ojo, Sunday Olusegun Faculty of ICT Tshwane University of Technology Pretoria South Africa

ISBN: (数字)9783030349745

ISBN: (纸本)9783030349738

Setswana is an under-resourced Bantu African language that is morphologically rich with the disjunctive writing system. Developing NLP pipeline tools for such a language could be challenging, due to the need to balance the linguistics semantics robustness of the tool with computational parsimony. A Part-of-Speech (POS) tagger is one such NLP tool for assigning lexical categories like noun, verb, pronoun, and so on, to each word in a text corpus. POS tagging is an important task in Natural Language Processing (NLP) applications such as information extraction, Machine Translation, Word prediction, etc. Developing a POS tagger for a morphologically rich language such as Setswana has computational linguistics challenges that could affect the effectiveness of the entire NLP system. this is due to some contextual semantics features of the language, that demand a fine-grained granularity level for the required POS tagset, with the need to balance tool semantic robustness with computational parsimony. In this paper, a context-driven corpus-based model for text segmentation and POS tagging for the language is presented. the tagger is developed using the Apache OpenNLP tool and returns the accuracy of 96.73%. © Springer Nature Switzerland AG 2019.

关键词： Computational linguistics

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