Integration of Unstructured Text Documents in A/E/C Model Based Systems
Integration of Unstructured Text Documents in A/E/C Model Based Systems
批准号:
0201299
负责人:
Lucio Soibelman
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-08-15 至 2007-01-31
中文摘要
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英文摘要
Abstract - Integration of Unstructured Text Documents in A/E/C Model Based SystemsThe Architecture, Engineering, and Construction (A/E/C) industry is adopting established communications and information technologies to improve collaboration, coordination, and information exchange among the many organizations that participate in all phases of a construction project life cycle. Inter-organizational information systems, are currently used for this purpose. They can be described as a set of interrelated components that collect, retrieve, process, store, and distribute information to support planning, control and decision making between different organizations. In distributed and dynamic construction environments, the ability to exchange and integrate information from different sources and in different data formats becomes crucial to improving the processes supported by these systems. Previous research showed that a major hurdle in integrating A/E/C information in such systems is related to its variety of data types. Since a large percentage of construction information is stored as unstructured text documents, methods for managing this type of data become important for construction information management.This research focuses on developing methods to integrate unstructured text documents for use in inter-organizational processes, developed by large dynamic distributed virtual organizations in construction project value systems. This investigation is based on available data from internet-based project-oriented inter-organizational information systems developed for the construction industry. In this research, automated processes for retrieval, classification, and integration of unstructured text documents in A/E/C model based systems are explored. Specifically, a combination of techniques from the areas of information retrieval and text mining are analyzed to develop intelligent search engines to identify documents relevant to each component of the project model. Afterwards, an association between relevant documents and project objects will be implemented according to the IFC specification.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Workshop: Transforming Civil & Environmental Engineering Curriculum: Big Data, Machine Learning, and AI Innovations Impact on CEE Education; Alexandria, Virginia; 10 December 2
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批准号:1908926
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项目类别:Standard Grant
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资助金额:$5.5万
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财政年份:2018
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负责人:Lucio Soibelman
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依托单位:
CAREER: Knowledge Discovery in Databases and Data Mining as New Tools to Support Research and Educational Advances in Modern Construction Management
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批准号:0630206
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项目类别:Standard Grant
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资助金额:$5.47万
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财政年份:2005
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负责人:Lucio Soibelman
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依托单位:
Integration of Unstructured Text Documents in A/E/C Model Based Systems
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批准号:0701583
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项目类别:Standard Grant
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资助金额:$3.12万
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财政年份:2005
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负责人:Lucio Soibelman
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依托单位:
CAREER: Knowledge Discovery in Databases and Data Mining as New Tools to Support Research and Educational Advances in Modern Construction Management
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批准号:0093841
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项目类别:Standard Grant
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资助金额:$37.5万
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财政年份:2001
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负责人:Lucio Soibelman
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依托单位:
海外基金