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A. Hryshchenko, K. Menze

A Comprehensive Vision on Cartography of EU And International Research Initiatives with RTD Gap Analysis in the Area of ICT for Energy Efficiency in Buildings

Abstract: This paper analyses the status of current researches in the area of Information and Communication Technologies (ICT) for the improvement of Energy Efficiency (EE) design and operation of buildings.Currently, research and technology developers focus on different domains and sub-domains in the area of EE, such as the integration of renewable energy sources and related monitoring, simulation, and management software. In order to improve harmonisation between different research and technology developments (RTD) including International and European research projects and scientific programs these activities need to be categorised and analysed. As a result of RTD gap analysis, the challenges, commonalities, deficits, and potentials for collaboration are identified contributing to the development of a “Scientific Road Map”. This paper focuses on development of a comprehensive vision on Cartography of recently completed, ongoing, and recently announced research European projects and International research initiatives for further implementation of its results in global vision of the REEB project [cf. http://www.ict-reeb.eu/index.html], and proposes a systematic categorization approach to identify gaps in the current research agenda in the area of IT for Energy in Buildings.Our RTD gap analysis is based on a qualitative categorization specifying common classification criteria.At the present, there are more than 270 projects worldwide were analysed, five Main Classification Categories (MCC) were developed.The proposed methodology should allow the identification of deficits of the related research activities within the specified (in T3.1, D3.1) categories.

Keywords: information and communication technologies, energy efficiency, research and developments, RTD, categorization, gap analysis

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Full text: content.pdf (735,615 bytes) (available to registered users only)

Series: w78:2010 (browse)
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Debras P, Zarl A, Amar V, Poyet P

The distributed information service in the VEGA project: an approach towards the harmonisation of STEP, SGML and EDIFACT informationstandards for the support of integrated and distributed construction projectinformation systems.

Abstract: Over the past two decades, the complexity of engineering projects has increased. In such a context, havingaccess to the right information at the right time is often crucial. In the area of Information Management,numerous efforts have already been made under the auspices of various major institutes towards theelaboration of Information Standards. Whether it be STEP for Product Data representation and exchange,SGML for documentation structuring and support or EDIFACT for Electronic Data Interchange, thesestandardisation efforts all address complementary aspects related to the representation and communication of engineering project information. However, both at the conceptual and technological levels, end-usersnowadays face a lack of integration among these various existing or emerging Information Standards.Building upon the on-going specification and implementation of a CORBA based middleware layer allowingthe distribution of any STEP SDAI models, the Distributed Information Service of the VEGA EuropeanEsprit Research project addresses the integration and distribution of construction project information systemsat two different levels. First, the conceptual level is concerned with the elaboration of STEP EXPRESSproduct data models supporting SGML documentary models and documents but also EDIFACT messagesmodels and messages. The implementation level is then concerned with the development of dedicatedconverters supporting the back and forth translation of SGML documents and EDIFACT messages towardsthe STEP format, finally providing a remote access to any kind of information for all the actors involved in a construction project.

Keywords: Distributed Information System, STEP, SGML, EDIFACT.

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Full text: content.pdf (131,579 bytes) (available to registered users only)

Series: w78:1997 (browse)
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Drogemuller R, Woodbury R, Crawford J

Extracting representation from structured text: initial steps

Abstract: A great deal of work has been done in the past on natural language recognition within the field of artificial intelligence. The aim of this work was to allow natural language text to be read in by a computer and structured in a format that would allow automatic interpretation of the text. This was intended to reduce the "knowledge engineering bottleneck" that has been a significant constraint on the use of artificial intelligence techniques within many fields. Some similar work has also been done within the AEC industry concentrating mainly on building codes. The research project described in this paper aims to simplify the analysis of structured text and its conversion into computer interpretable forms by providing support with computer software. The work is built around two documents - a glossary of building terms used in Australia and the Building Code of Australia. The various issues concerned with "noise" in the source data, the structure and content of documents to be analysed and the desired computer interpretable result will be presented. This work is motivated by: the need to maintain BCAider, a knowledge based system that assists in checking building designs for compliance with the Building Code of Australia; continuing work in encoding of regulations in computer interpretable form; and the need for international glossaries to support information harmonisation efforts such as the IAI and STEP. The software suite under development assists people with some understanding of language structure and knowledge engineering in converting structured text into computer interpretable form using a visual user interface. The current state of the design and development of this software suite will be described and the results of its use presented.

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Full text: content.pdf (262,275 bytes) (available to registered users only)

Series: w78:2000 (browse)
Cluster: papers of the same cluster (result of machine made clusters)
Class: class.retrieve (0.070694) class.analysis (0.045357) class.man-software (0.038615)
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Permission to reproduce these documents have been graciously provided by Icelandic Building Research Institute. The assistance of the editor, Mr. Gudni Gudnason, is gratefully appreciated


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