Gehre A, Katranuschkov P

Human-centred knowledge-based model access service for engineers

Abstract: This paper presents the Model Access Service (MAS) developed in the EU ISTforCE project (IST-1999-11508). It uses the capabilities of product data technology to provide value added services in a human-centred, web-based collaboration environment. Along with standard services for product model access on model and object level, it encompasses also two advanced knowledge-based features: a Reasoning Agent and an Explanation Component. MAS is developed as a self-contained system that can be used in a variety of ways. In the ISTforCE framework, it is integrated with an external Product Data Server (PDS) and a Core Information Server (CIS) which provide the necessary infrastructure enabling the full functionality of MAS. Standard functionality for model level access is provided by using MAS as a central tool that enables generalised data exchange capabilities to all relevant product models in one or more construction projects, even if they are stored on different product data servers. This is done on the basis of user and account information retrieved from the CIS. To enable the use of the product models directly, MAS provides an API for generalised RPC-based model access on object level. One of the two advanced features of MAS is the integrated Reasoning Agent which is responsible for replying to sophisticated queries concerning a specific structural design model, extending the IFC2x core model. It allows clients to use AI planning methods remotely, to generate solution sequences that combine the computed single Solver items. The second advanced feature incorporated in the MAS is the Engineering Ontology layer. It enables the translation of IFC data to the vocabulary and semantics familiar to end users. This unique feature of the MAS, distinguishing it from most proposed product data services to date, is augmented by an Explanation Component which opens many of its functions to standard Web Browsers.

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Series: w78:2002 (browse)
Cluster: papers of the same cluster (result of machine made clusters)
Class: class.represent (0.045124) class.retrieve (0.038403) class.communication (0.021612)
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Permission to reproduce these documents have been graciously provided by the Aarhus School of Architecture, Denmark. The assistnace of the editor, Prof. Kristian Agger, is gratefully aprecciated.

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