Browsing by Keyword "Ontology"
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Item Design of knowledge-based systems for automated deployment of building management services(2020-11) Schneider, Georg F.; Kontes, Georgios D.; Qiu, Haonan; Silva, Filipe J.; Bucur, Mircea; Malanik, Jakub; Schindler, Zdenek; Andriopolous, Panos; de Agustin-Camacho, Pablo; Romero-Amorrortu, Ander; Grün, Gunnar; Tecnalia Research & Innovation; LABORATORIO DE TRANSFORMACIÓN URBANA; EDIFICACIÓN DE ENERGÍA POSITIVADespite its high potential, the building's sector lags behind in reducing its energy demand. Tremendous savings can be achieved by deploying building management services during operation, however, the manual deployment of these services needs to be undertaken by experts and it is a tedious, time and cost consuming task. It requires detailed expert knowledge to match the diverse requirements of services with the present constellation of envelope, equipment and automation system in a target building. To enable the widespread deployment of these services, this knowledge-intensive task needs to be automated. Knowledge-based methods solve this task, however, their widespread adoption is hampered and solutions proposed in the past do not stick to basic principles of state of the art knowledge engineering methods. To fill this gap we present a novel methodological approach for the design of knowledge-based systems for the automated deployment of building management services. The approach covers the essential steps and best practices: (1) representation of terminological knowledge of a building and its systems based on well-established knowledge engineering methods; (2) representation and capturing of assertional knowledge on a real building portfolio based on open standards; and (3) use of the acquired knowledge for the automated deployment of building management services to increase the energy efficiency of buildings during operation. We validate the methodological approach by deploying it in a real-world large-scale European pilot on a diverse portfolio of buildings and a novel set of building management services. In addition, a novel ontology, which reuses and extends existing ontologies is presented.Item Improving tourism information search and retrieval(2012) Bilbao, Sonia; Herrero, Jesús; BIGDATAThe research described in this paper tries to bridge the existing gap between the tourism domain and user queries support in travel planning. The search engine proposed is based on a semantic model which allows defining a query language that is flexible and robust to changes in the tourism data model. This is critical as new tourism products, services and experiences are constantly emerging and the information needed to describe them varies considerably from one item to another. The search engine supports specifying customizable constraints and two aspects generally not considered in current travel planning online sites: nested sorting of the results and possibility to customize the amount and type of information to be retrieved about a tourism resource.Item Knowledge-based collaboration in Construction Industry(Institute of Electrical and Electronics Engineers Inc., 2016-05-23) Sorli, Mikel; Mendikoa, Iñigo; Pérez, Juan; Soares, Antonio; Urosevic, Ljubisa; Stokic, Dragan; Moreira, Jorge; Corvacho, Helena; Tecnalia Research & Innovation; RENOVABLES OFFSHORE; SGThe present paper focuses on the topic of Communities & Networks but it also covers some issues on Collaborative Enterprises, Collaborative Processes & Workspaces, and Business to Business Networks. It is based mainly on the Collective project Know Construct (COLL-CT-2004-500276) starting in March 2005. The project aims to develop a common internet-based platform for SMEs from the construction sector to provide an effective combination of two general functionalities: an innovative decision making support system regarding the products characteristics, applications and other consultancy services for SMEs' customers applying the 'web enabled dialogue', and a system for SMEs to support an advanced form of co-operation through the creation of Knowledge Communities of SMEs in Construction Industry. The system supports the integration, management and reuse of the area specific knowledge via a common knowledge base. The system is intended to be used within the Associations to collect and exchange the business area specific knowledge among the members (SMEs) in a form of essential expertise, reachable anywhere, at any time.Item A Product Line Approach for AmI Environments(2009) Durán, Jon Imanol; Cobelo, Josu; Laka, Joseba; Gerhauser, Heinz; Hupp, JuRGEN; Heppner, Janina; Efstratiou, Christos; SGWithin the next decade, as digital technologies become increasingly pervasive, we might find ourselves living with almost invisible, intelligent interactive systems - an Ambient Intelligence - that will form part of our everyday existence and ecology. The main challenge at this moment is to guarantee that the new Ambient Intelligence technologies are appropriate, sustainable and meet people's individual and social needs. Human Machine Interfaces are becoming increasingly complicated (more functions, metaphors, combined interfaces) which increases the challenge for configuring and controlling them for home users, office users and OEM related support services. In this paper we will propose a software product line approach for AmI environments. Its main purpose is to offer the best available services according to user preferences while the most suitable interfaces for controlling the environment are built and offered at run-time as well. Besides, we will outline a systematic approach where our AmI software product line could be used.Item SWARMs Ontology: A Common Information Model for the Cooperation of Underwater Robots: A common information model for the cooperation of underwater robots(2017-03-11) Li, Xin; Bilbao, Sonia; Martín-Wanton, Tamara; Bastos, Joaquim; Rodriguez, Jonathan; BIGDATAIn order to facilitate cooperation between underwater robots, it is a must for robots to exchange information with unambiguous meaning. However, heterogeneity, existing in information pertaining to different robots, is a major obstruction. Therefore, this paper presents a networked ontology, named the Smart and Networking Underwater Robots in Cooperation Meshes (SWARMs) ontology, to address information heterogeneity and enable robots to have the same understanding of exchanged information. The SWARMs ontology uses a core ontology to interrelate a set of domain-specific ontologies, including the mission and planning, the robotic vehicle, the communication and networking, and the environment recognition and sensing ontology. In addition, the SWARMs ontology utilizes ontology constructs defined in the PR-OWL ontology to annotate context uncertainty based on the Multi-Entity Bayesian Network (MEBN) theory. Thus, the SWARMs ontology can provide both a formal specification for information that is necessarily exchanged between robots and a command and control entity, and also support for uncertainty reasoning. A scenario on chemical pollution monitoring is described and used to showcase how the SWARMs ontology can be instantiated, be extended, represent context uncertainty, and support uncertainty reasoning.Item Teamwork assessment in the educational web of data: A learning analytics approach towards ISO 10018(2018-06) Conde, Miguel A.; Colomo-Palacios, Ricardo; García-Peñalvo, Francisco J.; Larrucea, Xabier; Tecnalia Research & InnovationThe Web of Data is an emerging research field that contributes to make better decisions because it gathers, combines and analyses different data sources available worldwide. Educational data is an interesting domain because it deals with the quality of the education itself and educational institutions which are common goals for every country. This paper is devoted to present how this idea has been used to improve a learning analytics tool. By means of this tool, teachers can perform teamwork competence assessment of a group of students taking into account how the individuals acquire the essential components of such competence. In this sense, authors use the Comprehensive Training Model of the Teamwork Competence in Engineering Domain (CTMTC) method to gather competence evidences and improve the system with a learning analytics tool to support the process. This tool is able to transform competence evidences and stores them in a competence ontology built upon ISO 10018 concepts. The final result is the production of educational results for the web of data.Item Third international workshop on knowledge-oriented product line engineering (KOPLE 2012)(2012) Hamza, Haitham S.; Martinez, Jabier; Thurimella, Anil Kumar; Deogun, Jitender S.; SWTSoftware Product Line Engineering (PLE) exploits systematic reuse by identifying and methodically reusing software artifacts to develop different but related software systems. Developing Product Lines requires analysis skills to identify, model, and encode domain and product knowledge into artifacts that can be systematically reused across the development life-cycle. As such, Knowledge plays a paramount role in the success of the various activities of PLE. The objective of the KOPLE workshop series is to bring together SPL researchers and practitioners from academia and industry to investigate the role of Knowledge in PLE. Knowledge is usually encapsulated in PL architectures in a tacit or implicit way, and this may appear to be sufficient for industry to implement successful product lines. Nevertheless, KOPLE also aims to become a discussion forum about techniques and methods to convert from tacit to explicit Knowledge in PLE and to process and use this Knowledge for optimizing and innovating PLE processes.