24 results on '"Daniele, Laura"'
Search Results
2. The ETSI SAREF Ontology for Smart Applications: A Long Path of Development and Evolution
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García Castro, Raúl, Lefrançois, Maxime, Poveda-Villalón, María, Daniele, Laura, Universidad Politécnica de Madrid (UPM), École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Institut Mines-Télécom [Paris] (IMT), Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes (LIMOS), Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA)-Institut national polytechnique Clermont Auvergne (INP Clermont Auvergne), Université Clermont Auvergne (UCA)-Université Clermont Auvergne (UCA), Institut Henri Fayol (FAYOL-ENSMSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Département Informatique et systèmes intelligents ( FAYOL-ENSMSE), Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE), TNO [Delf], Radboud University [Nijmegen], Antonio Moreno-Munoz, and Neomar Giacomini
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[INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL] ,[INFO]Computer Science [cs] - Abstract
International audience; Energy Smart Appliances provides utilities and appliance manufacturers, and designers with new approaches to better understand real-world performance, assess actual energy benefits, and tailor each technology to the needs of their customers.With contributions from a fully international group of experts, including heads of prestigious research organizations and leading universities, and innovation managers of the main appliance manufacturers, Energy Smart Appliances includes discussion on:Enabling technologies for energy smart appliances, covering IoT devices and technology and active energy efficiency measures in residential environmentsSmart home and appliances, answering questions like ‘Where are we heading in terms of the overall smart homes’ future?’ and ‘What’s the energy impact from smart home devices?’Demand-side management and demand response, covering overall system/ appliances readiness and ideal energy management scenario to drive demand responseEnergy smart appliances’ best practices and success stories, including refrigerators, washers, dryers, and moreWith practical coverage of a wide range of potential scenarios and existing and future challenges, Energy Smart Appliances is an essential learning resource for electrical engineering professionals, equipment manufacturers, and designers, along with postgraduate electrical engineering students and researchers in related fields and programs of study.
- Published
- 2023
3. Data Spaces for Energy, Home and Mobility
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Dognini, Alberto, Challagonda, Chandra, Maqueda Moro, Erik, Helmholt, Kristian, Madsen, Henrik, Daniele, Laura, Schmitt, Laurent, Genest, Olivier, Riemenschneider, Rolf, Böhm, Robert, Ebrahimy, Razgar, Temal, Lynda, Calvez, Philippe, and Ben Abbes, Sarra
- Abstract
The European Commission has promoted the deployment of the Digitalisation of Energy Action Plan (DoEAP), in order to develop an efficient, competitive market for a digital energy infrastructure and digital energy services that are both cyber-secure and sustainable. A central aspect of DoEAP is represented by the concept of Energy Data Spaces. Data exchange is crucial for emerging energy data services in the digital energy market and will help suppliers and energy service providers to innovate and cope with an increasing share of renewables in a more decentralised energy system. The data includes metering data, data from consumers such as home appliances, building automation, EV charging stations, or prosumers PV panel & inverters. Its availability and timely sharing and use among the relevant players is key for the energy transition. This document addresses main issues of data exchange in the three interconnected key sectors: energy, buildings and mobility; the analyses focus on existing concepts of data formats and data standards, reflecting on how to facilitate data sharing across the different sectors based on a common data framework. The foremost use cases of European projects and initiatives in the specific sector or at cross-sector level are presented, depicting the current state of data exchange deployments and identifying the necessary actions for the upcoming developments.
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- 2022
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4. Validating SAREF in a Smart Home Environment
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van der Weerdt, Roderick, de Boer, Victor, Daniele, Laura, and Nouwt, Barry
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Data mapping ,IoT ,Ontology ,Article ,Smart home - Abstract
SAREF is an ontology created to enable interoperability between smart devices. While the IoT community has shown interest and understanding of SAREF as a means for interoperability, there is a lack in the literature of practical examples to implement SAREF in real applications. In order to validate the practical implementation of SAREF we perform two experiments. First we map IoT data available in a smart home into RDF using SAREF. In the second part of the paper an IoT environment is created by using the Knowledge Engine, a framework created to allow communication between smart devices, operating on Raspberry Pi’s emulating IoT devices, where the communication of the IoT devices is performed by sharing knowledge represented with SAREF. These experiments demonstrate that SAREF is an ontology that is successfully applicable in different situations, with data-mapping showing that SAREF is able to represent the information of different smart devices and by using the Knowledge Engine showing that SAREF can enable interoperability between smart devices.
- Published
- 2021
5. Supporting Smart Home Scenarios Using OWL and SWRL Rules.
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Reda, Roberto, Carbonaro, Antonella, de Boer, Victor, Siebes, Ronald, van der Weerdt, Roderick, Nouwt, Barry, and Daniele, Laura
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SMART homes ,HOME automation ,SEMANTIC Web ,OWLS ,INTERNET of things ,SELF-expression - Abstract
Despite the pervasiveness of IoT domotic devices in the home automation landscape, their potential is still quite under-exploited due to the high heterogeneity and the scarce expressivity of the most commonly adopted scenario programming paradigms. The aim of this study is to show that Semantic Web technologies constitute a viable solution to tackle not only the interoperability issues, but also the overall programming complexity of modern IoT home automation scenarios. For this purpose, we developed a knowledge-based home automation system in which scenarios are the result of logical inferences over the IoT sensors data combined with formalised knowledge. In particular, we describe how the SWRL language can be employed to overcome the limitations of the well-known trigger-action paradigm. Through various experiments in three distinct scenarios, we demonstrated the feasibility of the proposed approach and its applicability in a standardised and validated context such as SAREF [ABSTRACT FROM AUTHOR]
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- 2022
- Full Text
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6. SAREF4health: towards IoT standard-based ontology-driven cardiac e-health systems
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Moreira, João, Pires, Luís Ferreira, Van Sinderen, Marten, Daniele, Laura, Girod-Genet, Marc, University of Twente [Netherlands], The Netherlands Organisation for Applied Scientific Research (TNO), Institut Polytechnique de Paris (IP Paris), Réseaux, Systèmes, Services, Sécurité (R3S-SAMOVAR), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Département Réseaux et Services Multimédia Mobiles (RS2M), and Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)
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SAREF ,ECG ,[INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT] ,Internet of Things ,Ontology-driven conceptual modelling ,Ontology-driven healthcare - Abstract
International audience; Recently, a number of ontology-driven healthcare systems have been leveraged by the Internet-of-Things (IoT) 11 technologies, which offer opportunities to improve abnormal situation detection when integrating medical wearables and cloud 12 infrastructure. Usually, these systems rely on standardised IoT ontologies to represent sensor data observations. The ETSI 13 Smart Applications REFerence ontology (SAREF) is an extensible industry-oriented standard. In this paper, we explain the 14 need for interoperability of IoT healthcare applications and the role of standardised ontologies to achieve semantic 15 interoperability. In particular, we discuss the verbosity problem of SAREF when used for real-time electrocardiography (ECG), 16 emphasizing the requirement of representing time series. We compared the main ontologies in this context, according to 17 quality, message size (payload), IoT-orientation and standardisation. Here we describe the first attempt to extend SAREF for 18 specific e-Health use cases related to ECG data, the SAREF4health extension, which tackles the verbosity problem. Ontology-19 driven conceptual modelling was applied to develop SAREF4health, in which an ECG ontology grounded in the Unified 20 Foundational Ontology (UFO) plays the role of a reference model. The methodology was enhanced by following a 21 standardisation procedure and considering the RDF implementation of the HL7 Fast Healthcare Interoperability Resources 22 (FHIR) standard. The validation of SAREF4health includes the responses to competency questions, as well as the development 23 and tests of an IoT Early Warning System prototype that uses ECG data and collision identification to detect accidents with 24 truck drivers in a port area. This prototype integrates an existing ECG wearable with a cloud infrastructure, demonstrating the 25 performance impact of SAREF4health considering IoT constraints. Our results show that SAREF4health enables the semantic 26 interoperability of IoT solutions that need to deal with frequency-based time series. Design decisions regarding the trade-off 27 between ontology quality and aggregation representation are also discussed.
- Published
- 2020
7. Towards semantic interoperability standards based on ontologies
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Baqa, Hamza, Bauer, Martin, Bilbao, Sonia, Corchero, Aitor, Daniele, Laura, Esnaola, Iker, Fernández, Izaskun, Frånberg, Östen, García Castro, Raúl, GIROD-GENET, Marc, Guillemin, Patrick, Gyrard, Amelie, El Kaed, Charbel, Kung, Antonio, Lee, Jaehoon, Lefrançois, Maxime, Li, Wenbin, Raggett, Dave, Wetterwald, Michelle, Département Réseaux et Services Multimédia Mobiles (RS2M), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Institut Polytechnique de Paris (IP Paris), Réseaux, Systèmes, Services, Sécurité (R3S-SAMOVAR), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Centre National de la Recherche Scientifique (CNRS), NEC Europe Ltd., Network Laboratories, NEC Corporation, Tecnalia Corporación Tecnológica, Eurecat - Centro Tecnológico de Catalunya, TNO [Delf], Radboud university [Nijmegen], IK4-Tekniker, Universidad Politécnica de Madrid, Ontology Engineering Group, Madrid, Ontology Engineering Group [Madrid] (OEG), Facultad de Informatica, Universidad Politécnica de Madrid (UPM)-Universidad Politécnica de Madrid (UPM), European Telecommunications Standards Institute [Sophia Antipolis] (ETSI), Kno.e.sis Center, Wright State University, Google Inc., Trialog [Paris], Seoul National University [Seoul] (SNU), École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Institut Mines-Télécom [Paris] (IMT), Laboratoire Hubert Curien [Saint Etienne] (LHC), Institut d'Optique Graduate School (IOGS)-Université Jean Monnet [Saint-Étienne] (UJM)-Centre National de la Recherche Scientifique (CNRS), Institut Henri Fayol (FAYOL-ENSMSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Département Informatique et systèmes intelligents (FAYOL-ENSMSE), Ecole Nationale Supérieure des Mines de St Etienne, Tongji University, and World Wide Web Consortium (W3C)
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[INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL] ,[INFO]Computer Science [cs] ,[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation - Abstract
International audience; This paper is co-authored by an informal group of experts from a broad range of backgrounds, all of whom are active in standards groups, consortia, alliances and/or research projects in the Internet of Things (IoT) space. This paper has two objectives: 1) explain the need for semantic interoperability, 2) provide recommendations for semantic interoperability standards using ontologies. The target audience for this paper are: ● IoT system product owners who need to understand how they can effectively ensure interoperability of their products. ● IoT system and standardization engineers without background in semantic technologies. The document is made available under the Creative Commons Attribution 4.0 International License.
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- 2019
8. Semantic IoT Solutions -A Developer Perspective
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Baqa, Hamza, Bauer, Martin, Bilbao, Sonia, Corchero, Aitor, Daniele, Laura, Esnaola, Iker, Fernández, Izaskun, Frånberg, Östen, García Castro, Raúl, GIROD-GENET, Marc, Guillemin, Patrick, Gyrard, Amelie, El Kaed, Charbel, Kung, Antonio, Lee, Jaehoon, Lefrançois, Maxime, Li, Wenbin, Raggett, Dave, Wetterwald, Michelle, Département Réseaux et Services Multimédia Mobiles (RS2M), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Institut Polytechnique de Paris (IP Paris), Réseaux, Systèmes, Services, Sécurité (R3S-SAMOVAR), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Centre National de la Recherche Scientifique (CNRS), NEC Europe Ltd., Network Laboratories, NEC Corporation, Tecnalia Corporación Tecnológica, Eurecat - Centro Tecnológico de Catalunya, TNO [Delf], Radboud university [Nijmegen], IK4-Tekniker, Ontology Engineering Group [Madrid] (OEG), Facultad de Informatica, Universidad Politécnica de Madrid (UPM)-Universidad Politécnica de Madrid (UPM), European Telecommunications Standards Institute [Sophia Antipolis] (ETSI), Kno.e.sis Center, Wright State University, Google Inc., Trialog [Paris], Seoul National University [Seoul] (SNU), École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Institut Mines-Télécom [Paris] (IMT), Laboratoire Hubert Curien [Saint Etienne] (LHC), Institut d'Optique Graduate School (IOGS)-Université Jean Monnet [Saint-Étienne] (UJM)-Centre National de la Recherche Scientifique (CNRS), Institut Henri Fayol (FAYOL-ENSMSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Département Informatique et systèmes intelligents ( FAYOL-ENSMSE), Ecole Nationale Supérieure des Mines de St Etienne, Tongji University, and World Wide Web Consortium (W3C)
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[INFO]Computer Science [cs] ,[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation - Abstract
International audience; Semantic technologies have recently gained significant support in a number of communities, in particular the IoT community. An important problem to be solved is that, on the one hand, it is clear that the value of IoT increases significantly with the availability of information from a wide variety of domains. On the other hand, existing solutions target specific applications or application domains and there is no easy way of sharing information between the resulting silos. Thus, a solution is needed to enable interoperability across information silos. As there is a huge heterogeneity regarding IoT technologies on the lower levels, the semantic level is seen as a promising approach for achieving interoperability (i.e. semantic interoperability) to unify IoT device description, data, bring common interaction, data exploration, etc.
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- 2019
9. A SAREF Extension for Semantic Interoperability in the Industry and Manufacturing Domain
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Daniele, Laura M., Punter, Matthijs, Brewster, Christopher, García Castro, Raúl, Poveda, María, Fernández, Alba, Zelm, Martin, Jaekel, Frank-Walter, Doumeingts, Guy, Wollschlaeger, Martin, Institute of Data Science, and RS: FSE DACS IDS
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Computer science ,business.industry ,Extension (predicate logic) ,Semantic interoperability ,Software engineering ,business ,Domain (software engineering) - Published
- 2018
10. SAREF4health: IoT Standard-Based Ontology-Driven Healthcare Systems
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Moreira, Joao, Ferreira Pires, Luis, van Sinderen, Marten, Daniele, Laura, Borgo, Stefano, Hitzler, Pascal, and Kutz, Oliver
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- 2018
11. SAREF4INMA: A SAREF extension for the industry and manufacturing domain.
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Thakker, Dhaval, Patel, Pankesh, Intizar Ali, Muhammad, Shah, Tejal, de Roode, Mike, Fernández-Izquierdo, Alba, Daniele, Laura, Poveda-Villalón, María, García-Castro, Raúl, and Ali, Muhammad Intizar
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SMART devices ,MANUFACTURING industries ,SEMANTICS ,ONTOLOGIES (Information retrieval) - Abstract
The IoT landscape is characterized by a fragmentation of standards, platforms and technologies, often scattered among different vertical domains. To prevent the market to continue to be fragmented and power-less, a protocol-independent semantic layer can serve as enabler of interoperability among the various smart devices from different manufacturers that co-exist in a specific industry domain, but also across different domains. To that end, the SAREF ontology was created in 2015 with the intention to interconnect data, enabling the communication between IoT devices that use different protocols and standards. A number of industrial sectors consequently expressed their interest to extend SAREF into their domains in order to fill the gaps of the semantics not yet covered by their communication protocols. Therefore, the SAREF4INMA ontology was recently created to extend SAREF for describing the Smart Industry & Manufacturing domain. SAREF4INMA is based on several standards and IoT initiatives, as well as on real use cases, and includes classes, properties and instances specifically created to cover the industry and manufacturing domain. This work describes the approach followed to develop this ontology, specifies its requirements and also includes a practical example of how to use it. [ABSTRACT FROM AUTHOR]
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- 2020
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12. An MDA-based approach for behaviour modelling of context-aware mobile applications
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Daniele, Laura M., Ferreira Pires, Luis, van Sinderen, Marten J., Paige, Richard F., Hartman, Alan, and Rensink, Arend
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business.industry ,Computer science ,Service design ,Model transformation ,Behaviour modelling ,Context (language use) ,Transformation (function) ,User agent ,2023 OA procedure ,Code (cryptography) ,Composite pattern ,Artificial intelligence ,Software engineering ,business ,computer ,SCS-Services ,computer.programming_language - Abstract
Most reported MDA approaches give much attention to structural aspects in PSMs and in generated code, and less attention to the PIM level and the behaviour of the modelled applications. Consequently, application behaviour is generally not (well) defined at the PIM level. This paper presents an MDA-based approach that incorporates behaviour modelling at the PIM level in the development of a specific category of applications, i.e., context-aware mobile applications. The paper also illustrates a behaviour model transformation realized by using Medini QVT , which is a tool that implements the Query/ View/ Transformation (QVT) Relations specification defined by OMG for model-to-model transformations.
- Published
- 2009
13. Interactive detection of incrementally learned concepts in images with ranking and semantic query interpretation
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Schutte, Klamer, Bouma, Henri, Schavemaker, John, Daniele, Laura, Sappelli, Maya, Koot, Gijs, Endebak, Pieter, Azzopardi, George, Spitters, Martijn, Boer, Maaike de, Kruithof, Maarten, Brandt, Paul, 13th International Workshop on Content-Based Multimedia Indexing (CBMI), Electronic Systems, Skopal, T., and Intelligent Systems
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GOOSE demonstrator ,Natural language user interface ,Computer science ,semantic reasoning ,ComputingMilieux_LEGALASPECTSOFCOMPUTING ,Image processing ,Information Society ,computer.software_genre ,Content-based image retrieval ,Search engine ,Natural language query ,Semantic query interpretation ,Concept learning ,Intuitive graph ,Image retrieval ,Incremental learning ,Infostructures ,Observation, Weapon & Protection Systems ICT ,incremental learning ,TS - Technical Sciences ,Semantic query ,Information retrieval ,II - Intelligent Imaging MNS - Media & Network Services BIS - Business Information Services ,business.industry ,Data Science ,concept detection ,Smart reranking ,User feedback ,ComputingMilieux_COMPUTERSANDSOCIETY ,Graph (abstract data type) ,Interactive detection ,Artificial intelligence ,business ,computer ,Natural language ,Natural language processing - Abstract
This research was performed in the GOOSE project, which is jointly funded by the MIST research program of the Dutch Ministry of Defense and the AMSN enabling technology program., The number of networked cameras is growing exponentially. Multiple applications in different domains result in an increasing need to search semantically over video sensor data. In this paper, we present the GOOSE demonstrator, which is a real-time general-purpose search engine that allows users to pose natural language queries to retrieve corresponding images. Top-down, this demonstrator interprets queries, which are presented as an intuitive graph to collect user feedback. Bottomup, the system automatically recognizes and localizes concepts in images and it can incrementally learn novel concepts. A smart ranking combines both and allows effective retrieval of relevant images., peer-reviewed
- Published
- 2015
14. TNO at TRECVID 2013 : multimedia event detection and instance search
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Bouma, Henri, Azzopardi, George, Spitters, Martijn, Wit, Joost de, Versloot, Corne, Zon, Remco van der, Eendebak, Pieter T., Baan, Jan, Hove, Johan-Martijn ten, Eekeren, Adam van, Haar, Frank ter, Hollander, Richard den, Huis, Jasper van, Boer, Maaike de, Antwerpen, Gert van, Broekhuijsen, Jeroen, Daniele, Laura, Brandt, Paul, Schavemaker, John, Kraaij, Wessel, Schutte, Klamer, and TRECVID 2013
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Support vector machines ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Computer vision ,Multimedia systems - Abstract
We describe the TNO system and the evaluation results for TRECVID 2013 Multimedia Event Detection (MED) and instance search (INS) tasks. The MED system consists of a bag-of-word (BOW) approach with spatial tiling that uses low-level static and dynamic visual features, an audio feature and high-level concepts. Automatic speech recognition (ASR) and optical character recognition (OCR) are not used in the system. In the MED case with 100 example training videos, support-vector machines (SVM) are trained and fused to detect an event in the test set. In the case with 0 example videos, positive and negative concepts are extracted as keywords from the textual event description and events are detected with the high-level concepts. The MED results show that the SIFT keypoint descriptor is the one which contributes best to the results, fusion of multiple low-level features helps to improve the performance, and the textual event-description chain currently performs poorly. The TNO INS system presents a baseline open-source approach using standard SIFT keypoint detection and exhaustive matching. In order to speed up search times for queries a basic map-reduce scheme is presented to be used on a multi-node cluster. Our INS results show above-median results with acceptable search times., This research for the MED submission was performed in the GOOSE project, which is jointly funded by the enabling technology program Adaptive Multi Sensor Networks (AMSN) and the MIST research program of the Dutch Ministry of Defense. The INS submission was partly supported by the MIME project of the creative industries knowledge and innovation network CLICKNL., peer-reviewed
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- 2013
15. Interaction patterns for refining behaviour specifications of context-aware mobile services
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Daniele, Laura, Ferreira Pires, Luis, van Sinderen, Marten J., Mostefaoui, S.K., Maamar, Z., Ferreira Pires, L., Hammoudi, S., Rinderle-Ma, S., Sadiq, S., and Schulz, K.
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IR-62404 ,Process management ,METIS-251110 ,Computer science ,Refining ,EWI-13134 ,Context (language use) ,SCS-Services - Abstract
In the context of Model-Driven Architecture (MDA), little attention has been given to behavioural aspects of service design. This paper proposes a MDA-based approach that considers these aspects in the development of context-aware mobile services. Starting from the specification of the external observable behaviour of a service, we gradually refine this behaviour considering the internal structure of the service. Particularly, we present a structure that is general enough to be used for several context-aware mobile services. However, it may be configured based on the specific service to be developed. An important step of our approach consists of identifying sequences of interactions, which we call interaction patterns, which can be mapped into a behaviour model of the components that execute the service. This model is platform-independent and may be realized in terms of several specific target technologies.
- Published
- 2008
16. How to Keep a Reference Ontology Relevant to the Industry: A Case Study from the Smart Home.
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Daniele, Laura, den Hartog, Frank, and Roes, Jasper
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- 2016
- Full Text
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17. Interoperability for Smart Appliances in the IoT World.
- Author
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Daniele, Laura, Solanki, Monika, den Hartog, Frank, and Roes, Jasper
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- 2016
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18. Toward semantic interoperability of energy using and producing appliances in residential environments.
- Author
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den Hartog, Frank, Daniele, Laura, and Roes, Jasper
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- 2015
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19. Created in Close Interaction with the Industry: The Smart Appliances REFerence (SAREF) Ontology.
- Author
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Daniele, Laura, den Hartog, Frank, and Roes, Jasper
- Published
- 2015
- Full Text
- View/download PDF
20. The interrelationship of taxonomic categories
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Collen, Arne, Wickens, Delos D., and Daniele, Laura
- Published
- 1975
21. Towards a Rule-Based Approach for Context-Aware Applications.
- Author
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Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Pras, Aiko, van Sinderen, Marten, Daniele, Laura, Dockhorn Costa, Patrícia, and Ferreira Pires, Luís
- Abstract
Context-aware applications can sense and explore the users' context in order to provide proper and useful services to these users. These applications can react intelligently upon changes in the user's context, performing actions relevant to the user, the application itself, and the interaction between user and application. Context-aware reactive behaviors can be expressed by using rules written in a Domain-specific Language, coined ECA-DL, specially developed for context-aware applications. This paper proposes support for the development of a generic component capable of executing rules written using ECA-DL. This component executes these rules by using Jess, which is a well-known tool for developing rule-based systems. [ABSTRACT FROM AUTHOR]
- Published
- 2007
- Full Text
- View/download PDF
22. Joint Proceedings of SEMANTiCS 2017 Workshops co-located with the 13th International Conference on Semantic Systems (SEMANTiCS 2017), Amsterdam, Netherlands, September 11 and 14, 2017
- Author
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Fensel, Anna, Daniele, Laura, Aroyo, Lora, Boer, Victor de, Darányi, Sándor, Elloumi, Omar, García-Castro, Raúl, Hollink, Laura, Inel, Oana, Kuys, Gerard, Maleshkova, Maria, Merdan, Munir, Meroño-Peñuela, Albert, Moser, Thomas, Keppmann, Felix Leif, Kontopoulos, Efstratios, Petram, Lodewijk, Scarrone, Enrico, and Verborgh, Ruben
- Published
- 2018
23. Joint Proceedings of SEMANTiCS 2017 Workshops co-located with the 13th International Conference on Semantic Systems (SEMANTiCS 2017)
- Author
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Verborgh, Ruben, Fensel, Anna, Daniele, Laura, Aroyo, Lora, Boer, Victor de, Darányi, Sándor, Elloumi, Omar, García-Castro, Raúl, Hollink, Laura, Inel, Oana, Kuys, Gerard, Maleshkova, Maria, Merdan, Munir, Meroño-Peñuela, Albert, Moser, Thomas, Keppmann, Felix Leif, Kontopoulos, Efstratios, Petram, Lodewijk, and Scarrone, Enrico
- Published
- 2018
24. Foucault and the Making of Subjects
- Author
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Lorenzini, Daniele, Cremonesi, Laura, Irrera, Orazio, Tazzioli, Martina, Lettres, Idées, Savoir (LIS), Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Lorenzini Daniele, Laura Cremonesi, Orazio Irrera & Martina Tazzioli, Lettres Idées Savoirs, Ea 4395, and Lorenzini Daniele, Laura Cremonesi, Orazio Irrera & Martina Tazzioli
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[SHS.LITT] Humanities and Social Sciences/Literature ,[SHS.LITT]Humanities and Social Sciences/Literature - Abstract
Coll. « New Politics of Autonomy »,; International audience
- Published
- 2016
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