Integration of Unstructured Text Documents in A/E/C Model Based Systems

摘要-基于A/E/C模型的系统中非结构化文本文档的集成建筑、工程和建筑(A/E/C)行业正在采用成熟的通信和信息技术，以改善参与建设项目生命周期所有阶段的许多组织之间的协作、协调和信息交换。组织间信息系统目前正用于这一目的。它们可以被描述为一组相互关联的组件，用于收集、检索、处理、存储和分发信息，以支持不同组织之间的计划、控制和决策。在分布式和动态的施工环境中，交换和集成来自不同来源和不同数据格式的信息的能力对于改进这些系统支持的流程至关重要。以前的研究表明，在这类系统中集成A/E/C信息的一个主要障碍与其数据类型的多样性有关。针对大型动态分布式虚拟组织开发的大型动态分布式虚拟组织所开发的跨组织过程中非结构化文本文档的集成方法，提出了一种非结构化文本文档的管理方法。这项调查基于为建筑业开发的基于互联网的面向项目的跨组织信息系统的可用数据。在本研究中，探讨了基于A/E/C模型的系统中非结构化文本文档的自动检索、分类和集成过程。具体地说，分析了信息检索和文本挖掘领域的技术组合，以开发智能搜索引擎，以识别与项目模型的每个组件相关的文档。之后，将根据IFC规范实现相关文档与项目对象之间的关联。

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.