Refine
Keywords
- Datenmanagement (14) (remove)
During the establishing of fundamentals in a building project a huge amount of influence factors and boundary conditions have to be investigated in order to provide the prerequisites for further planning processes. These investigative tasks are often related with a great effort concerning time and money, because there are no standardized workflows and interfaces which provide an efficient access to the necessary information related to a specific construction site. Within the fundamental investigation human and natural circumstances have to be taken into account. Thus, in this project two examples have been chosen in order to demonstrate the holistic approach for an integration and provision of georeferenced information. The developed internet-site http://www.grundlagenermittlung.de has been designed to support architects and civil engineers in early planning phases of a building project efficiently. It offers web-based services based on dynamic interfaces for a flexible search and collection of information concerning the building site. Therefore, a central Metadatabase-Server for Description, Discovery and Integration has been established which enables a registration of georeferenced services and the redirection of incoming requests to other, distributed data pools. Using this Yellow-Page concept in combination with the underlying meta-data based on the ISO 19115 standard an efficient investigation of geographical and environmental information becomes possible.
Business and engineering knowledge in AEC/FM is captured mainly implicitly in project and corporate document repositories. Even with the increasing integration of model-based systems with project information spaces, a large percentage of the information exchange will further on rely on isolated and rather poorly structured text documents. In this paper we propose an approach enabling the use of product model data as a primary source of engineering knowledge to support information externalisation from relevant construction documents, to provide for domain-specific information retrieval, and to help in re-organising and re-contextualising documents in accordance to the user’s discipline-specific tasks and information needs. Suggested is a retrieval and mining framework combining methods for analysing text documents, filtering product models and reasoning on Bayesian networks to explicitly represent the content of text repositories in personalisable semantic content networks. We describe the proposed basic network that can be realised on short-term using minimal product model information as well as various extensions towards a full-fledged added value integration of document-based and model-based information.
The increased implementation of site data capture technologies invariably results in an increase in data warehousing and database technologies to store captured data. However, restricted use of data beyond the initial application could potentially result in a loss of understanding of site processes. This could in turn lead to poor decision making at production, tactical and strategic levels. Concrete usage data have been collected from two piling processes. These data have been analysed and the results highlighted potential improvements that could be made to existing site management and estimating processes. A cost benefit analysis has been used to support decision making at the strategic level where the identified improvements require capital expenditure.
Information science researchers and developers have spent many years addressing the problem of retrieving the exact information needed and using it for analysis purposes. In informationseeking dialogues, the user, i.e. construction project manager or supplier, often asks questions about specific aspects of the tasks they want to perform. But most of the time it is difficult for the software systems to unambiguously understand their overall intentions. The existence of information tunnels (Tannenbaum 2002) aggravates this phenomenon. This study includes a detailed case study of the material management process in the construction industry. Based on this case study, the structure of a formal user model for information retrieval in construction management is proposed. This prototype user model will be incorporated into the system design for construction information management and retrieval. This information retrieval system is a user-centered product based on the development of a user configurable visitor mechanism for managing and retrieving project information without worrying too much about the underlying data structure of the database system. An executable UML model combined with OODB is used to reduce the ambiguity in the user's intentions and to achieve user satisfaction.