4,837 research outputs found

    The Neuroscience Information Framework: A Data and Knowledge Environment for Neuroscience

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    With support from the Institutes and Centers forming the NIH Blueprint for Neuroscience Research, we have designed and implemented a new initiative for integrating access to and use of Web-based neuroscience resources: the Neuroscience Information Framework. The Framework arises from the expressed need of the neuroscience community for neuroinformatic tools and resources to aid scientific inquiry, builds upon prior development of neuroinformatics by the Human Brain Project and others, and directly derives from the Society for Neuroscience’s Neuroscience Database Gateway. Partnered with the Society, its Neuroinformatics Committee, and volunteer consultant-collaborators, our multi-site consortium has developed: (1) a comprehensive, dynamic, inventory of Web-accessible neuroscience resources, (2) an extended and integrated terminology describing resources and contents, and (3) a framework accepting and aiding concept-based queries. Evolving instantiations of the Framework may be viewed at http://nif.nih.gov, http://neurogateway.org, and other sites as they come on line

    How do medical researchers make causal inferences?

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    Bradford Hill (1965) highlighted nine aspects of the complex evidential situation a medical researcher faces when determining whether a causal relation exists between a disease and various conditions associated with it. These aspects are widely cited in the literature on epidemiological inference as justifying an inference to a causal claim, but the epistemological basis of the Hill aspects is not understood. We offer an explanatory coherentist interpretation, explicated by Thagard's ECHO model of explanatory coherence. The ECHO model captures the complexity of epidemiological inference and provides a tractable model for inferring disease causation. We apply this model to three cases: the inference of a causal connection between the Zika virus and birth defects, the classic inference that smoking causes cancer, and John Snow’s inference about the cause of cholera

    A Semantic IoT Early Warning System for Natural Environment Crisis Management

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    This work was supported in part by the European FP7 Funded Project TRIDEC under Grant 258723, the other project partners in helping to deliver the complete project Syste, in particular, GFZ, and the German Research Centre for Geosciences, Potsdam, Germany. The work of R. Tao was supported by the Queen Mary University of London for a Ph.D. studentship

    A Semantic loT Early Warning System for Natural Environment Crisis Management

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    An early warning system (EWS) is a core type of data driven Internet of Things (IoTs) system used for environment disaster risk and effect management. The potential benefits of using a semantic-type EWS include easier sensor and data source plug-and-play, simpler, richer, and more dynamic metadata-driven data analysis and easier service interoperability and orchestration. The challenges faced during practical deployments of semantic EWSs are the need for scalable time-sensitive data exchange and processing (especially involving heterogeneous data sources) and the need for resilience to changing ICT resource constraints in crisis zones. We present a novel IoT EWS system framework that addresses these challenges, based upon a multisemantic representation model.We use lightweight semantics for metadata to enhance rich sensor data acquisition.We use heavyweight semantics for top level W3CWeb Ontology Language ontology models describing multileveled knowledge-bases and semantically driven decision support and workflow orchestration. This approach is validated through determining both system related metrics and a case study involving an advanced prototype system of the semantic EWS, integrated with a reployed EWS infrastructure

    Creating Value By Object Hyperlinking Along The Consumer Buying Decision Process In The IoT Era

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    Within the IoT scope, a new application named ‘object hyperlinking’ has evolved. Object hyperlinking is the pervasive presence of different things or objects identified by tags, sensors, and mobile phones that can interact with each other as well as with their neighbors through unique addressing schemes for business purpose. Enabled by Automatic Identification and Data Capture (AIDC) technologies such as QR code and NFC, object hyperlinking services make it possible link any object or location to a more comprehensive and editable information. While tagging technologies have good prospects to offer more opportunities in a company’s interaction with its consumers, how this capability can be best applied and what innovative business services be created with object hyperlinking remain to be discovered. This study surveys and examines 76 projects of object hyperlinking in Taiwan and provides a framework to figure out business value and issues of object hyperlinking along the five stages of a consumer buying decision process. Based on the functionality and purpose of object hyperlinking services, this framework is conducted in dimensions of value creation, value orientation, functionality, key factor and challenges, key activities within organization, and managerial issues concerned. Some innovative business models enabled by object hyperlinking will also be introduced. The research results found that only when the information gathered by identified objects is used, analyzed, and distributed into wide business activities in term of marketing, customer service and firm level strategy planning, the effectiveness and value of object hyperlinking services can be realized at its maximum. The integration across different consumer buying decision process is also important. The more applications of object hyperlinking in different buying decisions, the more benefits will be created for customers. Managers can use the list of dimensions proposed in the framework to develop rich IoT business from enhancing service operations with object hyperlinking

    Editing Team: Markus Fiedler

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    and contributions of the FIA community on the important research topics that should be addressed for the Framework Programme 8 research programmes broadly grouped around three main concerns; economic and business interests; societal interests and challenges; technical disruptions and capabilities. The contents of this roadmap originate with the community of researchers working on all aspects of the Future Internet and meet to share and discuss ideas through the Future Internet Assembly through an open consultation of research projects who participate in FIA. This roadmap is primarily concerned with identifying research that can be carried out in the second half of this decade and which will have an impact in 2020 and beyond. By ‘impact ’ we mean will result in products, services, systems, capabilities, that come to market and are available and deployed in that timeframe The approach adopted in this report is to integrate contributions across the entire space of future Internet research with the aim of bringing out the vision for how and where the Internet will make a significant difference in the future and identifying the broad challenges and gaps, and identifying the solutions and research needs in the future. In this report we have summarised and grouped ideas with the aim of identifying the strong themes and consistent challenges that emerge looking acros

    Community-Engaged Development of a Parent-Child Book Reading Wise Intervention

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    Children living in communities with high rates of poverty experience significant detriment to their academic skills and social, emotional, and behavioral health. Though a range of evidence-based interventions exist that aim to reduce these disparities, they face substantial barriers (e.g., related to financial and human resources, opportunity cost to target families, variable fit across the diverse populations in low-income households). In contrast, wise interventions use psychologically precise pathways to produce small, recursive changes that result in significant benefits. As such, they represent a resource efficient strategy with the potential for considerable impact with contextual adaptation. The current study utilized social marketing research strategies in the context of an academic-community partnership to design, iteratively refine, and examine an emotion-enhanced children’s book – or picture book infused with opportunities to label and explain character emotions – as a wise intervention based in parent-child book reading, an especially warm and nurturing form of parent-child interaction. We employed the Social Marketing Assessment and Response Tool (SMART Model) to guide intervention development and evaluation. In SMART Phases 2-4 (Formative Research), end-users (n=14) completed surveys on basic demographic information, mental health, current beliefs about joint book reading and ongoing practices, and perspectives and response styles to children’s emotions. We then engaged participants in focus groups and interviews to obtain insights regarding the perceived need and preferred characteristics of the proposed intervention. Feedback informed the design of prototype components (i.e., book characters and storylines) that we presented to both new and returning end-users (n=10) for feedback in SMART Phase 5 (Development) pre-testing. Stakeholders (i.e., end-users) again completed surveys on basic demographic information, mental health, current beliefs about joint book reading and ongoing practices, and perspectives and response styles to children’s emotions, and participated in interviews to provide additional feedback. Results from Phase 5 pre-testing informed iterative refinement, and a completed intervention was evaluated by a broad audience via an online survey (n=31) to examine acceptability, usability, and perceived effectiveness

    A flexible service selection for executing virtual services

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    [EN] With the adoption of a service-oriented paradigm on the Web, many software services are likely to fulfil similar functional needs for end-users. We propose to aggregate functionally equivalent software services within one single virtual service, that is, to associate a functionality, a graphical user interface (GUI), and a set of selection rules. When an end user invokes such a virtual service through its GUI to answer his/her functional need, the software service that best responds to the end-user s selection policy is selected and executed and the result is then rendered to the end-user through the GUI of the virtual service. A key innovation in this paper is the flexibility of our proposed service selection policy. First, each selection policy can refer to heterogeneous parameters (e.g., service price, end-user location, and QoS). Second, additional parameters can be added to an existing or new policy with little investment. Third, the end users themselves define a selection policy to apply during the selection process, thanks to the GUI element added as part of the virtual service design. This approach was validated though the design, implementation, and testing of an end-to-end architecture, including the implementation of several virtual services and utilizing several software services available today on the Web.This work was partially supported in part by SERVERY (Service Platform for Innovative Communication Environment), a CELTIC project that aims to create a Service Marketplace that bridges the Internet and Telco worlds by merging the flexibility and openness of the former with the trustworthiness and reliability of the latter, enabling effective and profitable cooperation among actors.Laga, N.; Bertin, E.; Crespi, N.; Bedini, I.; Molina Moreno, B.; Zhao, Z. (2013). A flexible service selection for executing virtual services. World Wide Web. 16(3):219-245. doi:10.1007/s11280-012-0184-2S219245163Aggarwal, R., Verma, K., Miller, J., and Milnor, W.: Constraint Driven Web Service Composition in METEOR-S. In Proceedings of the 2004 IEEE international Conference on Services Computing (September 2004). IEEE Computer Society, Washington, DC, 23–30.Apple Inc. Apple app store.: Available at: www.apple.com/iphone/appstore/ , accessed on May 22nd, 2012.Atzeni, P., Catarci, T., Pernici, B.: Multi-Channel adaptive information Systems. World Wide Web 10(4), 345–347 (2007)Baresi, L., Bianchini, D., Antonellis, V.D., Fugini, M.G., Pernici, B., Plebani, P.: Context-aware Composition of e-Service. In Technologies for E-Services: Third International Workshop, vol. 2819, 28–41, TES 2003, Berlin, German, 2003.Ben Hassine, A., Matsubara, S., Ishida, T.: In Proceedings of the 5th international conference on The Semantic Web (ISWC’06), Isabel Cruz, Stefan Decker, Dean Allemang, Chris Preist, and Daniel Schwabe (Eds.). Springer-Verlag, Berlin, Heidelberg, 130–143 (2006).Blum, N., Dutkowski, S., Magedanz, T.: InSeRt - An Intent-based Service Request API for Service Exposure in Next Generation Networks. In Proceedings of 32nd Annual IEEE Software Engineering Workshop. Porto Sani Resort, Kassandra, Greece, 2008 pp21–30.Boussard, M., Fodor, S., Crespi, N., Iribarren, V., Le Rouzic, J.P., Bedini, I., Marton, G., Moro Fernandez, D., Lorenzo Duenas, O., Molina, B.: SERVERY: the Web-Telco marketplace. ICT-Mobile Summit 2009, Santander (2009)Cabrera, Ó., Oriol, M., Franch, X., Marco, J., LĂłpez, L., Fragoso, O., Santaolaya, R.: WeSSQoS: A Configurable SOA System for Quality-aware Web Service Selection. CoRR 2011, abs/1110.5574.Casati, F., Ilnicki, S., Jin, L., Krishnamoorthy, V., Shan, M.: Adaptive and Dynamic Service Composition in eFlow. Lecture Notes in Computer Science, Volume 1789/2000, 13–31, 2000.CibrĂĄn, M. A., Verheecke, B., Vanderperren, W., SuvĂ©e, D., and Jonckers, V.: “Aspect-oriented Programming for Dynamic Web Service Selection, Integration and Management.” In Proc. World Wide Web 2007, pp. 211–242.Crespi, N., Boussard, M. Fodor, S.: Converging Web 2.0 with telecommunications. eStrategies Projects, Vol. 10, 108–109. British Publishers, ISSN 1758–2369, June 2009.Dey, A.K., Salber, D., Abowd, G.D.: A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications. Hum. Comput. Interact. 16, 1–67 (2001)Ding, Q., Li, X., and Zhou, X.: Reputation Based Service Selection in Grid Environment. In Proceedings of the 2008 international Conference on Computer Science and Software Engineering - Volume 03 (December. 2008). CSSE. IEEE Computer Society, Washington, DC, 58–61.Fielding, R.T.: Architectural Styles and the Design of Network-based Software Architectures. Thesis dissertation, 2000.Franch, X., GrĂŒnbacher, P., Oriol, M., Burgstaller, B., Dhungana, D., LĂłpez, L., Marco, J., Pimentel, J.: Goal-driven Adaptation of Service-Based Systems from Runtime Monitoring Data. REFS 2011.Frolund, S., Koisten, J.: QML: A Language for Quality of Service Specification. HP Labs technical reports. Available at http://www.hpl.hp.com/techreports/98/HPL-98-10.html , accessed on May 22nd, 2012.Google. Android market.: Available at: www.android.com/market/ , accessed on May 22nd, 2012.Google. Intents and Intent Filters.: Available at http://developer.android.com/guide/topics/intents/intents-filters.html , accessed on May 22nd, 2012.Gu, X., Nahrstedt, K., Yuan, W., Wichadakul, D., Xu, D.: An Xml-Based Quality of Service Enabling Language for the Web. Technical Report. UMI Order Number: UIUCDCS-R-2001-2212., University of Illinois at Urbana-Champaign.Laga, N., Bertin, E., and Crespi, N.: Building a User Friendly Service Dashboard: Automatic and Non-intrusive Chaining between Widgets. In Proceedings of the 2009 Congress on Services - I (July 06–10, 2009). SERVICES. IEEE Computer Society, Washington, DC, 484–491.Laga, N., Bertin, E., and Crespi, N.: Business Process Personalization Through Web Widgets. In Proceedings of the 2010 IEEE international Conference on Web Services (July 05–10, 2010). ICWS. IEEE Computer Society, Washington, DC, 551–558.Liu, Y., Ngu, A. H., and Zeng, L. Z.: QoS computation and policing in dynamic web service selection. In Proceedings of the 13th international World Wide Web Conference on Alternate Track Papers &Amp; Posters (New York, NY, USA, May 19–21, 2004). WWW Alt. ’04. ACM, New York, NY, 66–73.Malik, Z., Bouguettaya, A.: Rater credibility assessment in Web services interactions. World Wide Web 12(1), 3–25 (2009)Martin, D. et al.: OWL-S: Semantic Markup for Web Services. W3C member submission, available at http://www.w3.org/Submission/2004/SUBM-OWL-S-20041122/ , accessed on May 22nd, 2012.Nestler, T., Namoun, A., Schill, A.: End-user development of service-based interactive web applications at the presentation layer. EICS 2011: 197–206.Newcomer, E.: Understanding Web Services: XML, Wsdl, Soap, and UDDI. Addison, Wesley, Boston, Mass., May 2002.O’Reilly, T.: What Is Web 2.0, Design Patterns and Business Models for the Next Generation of Software.Piessens, F., Jacobs, B., Truyen, E., Joosen, W.: Support for Metadata-driven Selection of Run-time Services in .NET is Promising but Immature. vol. 3, no. 2, Special issue: .NET: The Programmer’s Perspective: ECOOP Workshop, 27–35. 2003.Rasch, K;, Li, F., Sehic, S., Ayani R., and Dustdar, S.: “Context-driven personalized service discovery in pervasive environments,” in Proc World Wide Web, 2011, pp. 295–319.Reichl, P.: From ‘Quality-of-Service’ and ‘Quality-of-Design’ to ‘Quality-of-Experience’: A holistic view on future interactive telecommunication ser-vices. In 15th International Conference on Software, Telecommunications and Computer Networks, 2007. Soft-COM 2007. Sept. 2007. vol., no.,1–6, 27–29.Rolland, C., Kaabi, R.S., Kraiem, N.: On ISOA: Intentional Services Oriented Architecture. In Advanced Information Systems Engineering, volume 4495/2007, 158–172, June 2007.Sanchez, A., Carro, B., Wesner, S.: Telco services for end customers: European Perspective. In Communications Magazine. IEEE 46(2), 14–18 (2008)Santhanam, G. R., Basu, S., and Honavar, V.: On Utilizing Qualitative Preferences in Web Service Composition: A CP-net Based Approach. In Proceedings of IEEE Congress on Services, Services - Part I, vol., no.,538–544, 2008.Spanoudakis, G., Mahbub, K., Zisman, A.: A Platform for Context Aware Runtime Web Service Discovery. In Proc IEEE ICWS, 2007, pp233-240.Tsesmetzis, D., Roussaki, I., Sykas, E.: Modeling and Simulation of QoS-aware Web Service Selection for Provider Profit Maximization. Simulation 83(1), 93–106 (2007)Wang, P., Chao, K., Lo, C., Farmer, R., and Kuo, P.: A Reputation-Based Service Selection Scheme. In Proceedings of the 2009 IEEE international Conference on E-Business Engineering (October 21–23, 2009). ICEBE. IEEE Computer Society, Washington, DC, 501–506.Wang, H., Yang, D., Zhao, Y., and Gao, Y.: Multiagent System for Reputation--based Web Services Selection. In Proceedings of the Sixth international Conference on Quality Software (October 27–28, 2006). QSIC. IEEE Computer Society, Washington, DC, 429–434.Wholesale Applications Community.: WAC Informational Whitepaper. Available at http://www.wholesaleappcommunity.com/About-Wac/BACKGROUND%20TO%20WAC/whitepaper.pdf , accessed on May 22nd, 2012.Windows Marketplace.: Available at http://marketplace.windowsphone.com/default.aspx , accessed on May 22nd, 2012.Xu, Z., Martin, P., Powley, W., Zulkernine, F.: Reputation-Enhanced QoS-based Web Services Discovery. Web Services, 2007. In proceedings of IEEE International Conference on Web Services, ICWS 2007. 249, 256, 9–13 July 2007.Yu, Q., Bouguettaya,A.: “Multi-attribute optimization in service selection”. In Proc World Wide Web,2012, pp. 1–31.Yu, T., Zhang, Y., Lin, K. Efficient algorithms for Web services selection with end-to-end QoS constraints. ACM Transaction Web 1, 1. Article 6, 26 pages. (May 2007),
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