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Article: Project-based as-needed information retrieval from unstructured AEC documents

TitleProject-based as-needed information retrieval from unstructured AEC documents
Authors
KeywordsProject management
Information retrieval
Document management
Decision support
Natural language processing
Issue Date2014
Citation
Journal of Management in Engineering, 2014, v. 31, n. 1 How to Cite?
Abstract© 2014 American Society of Civil Engineers.With the increasing complexity of architecture, engineering, and construction (AEC) projects and fast track execution of project works, written documents are becoming more and more important for project coordination, communication, and works control. Finding all the relevant information from unstructured construction documents is critical to various management tasks such as work planning, progress control, and claims. A framework is proposed in this research to retrieve project-wide as-needed information from AEC documents. Through this framework, improvement in the levels of precision and recall in the information retrieval process can be made effective through the use of a project-specific term dictionary and dependency grammar parsing information of textual documents. Their effectiveness is demonstrated through a series of experimental tests conducted on a real life building redevelopment project with different information retrieval and ranking strategies. The results and findings are presented in this paper along with discussion on the related issues on research and system development.
Persistent Identifierhttp://hdl.handle.net/10722/230994
ISSN
2015 Impact Factor: 1.84
2015 SCImago Journal Rankings: 1.060

 

DC FieldValueLanguage
dc.contributor.authorFan, Hongqin-
dc.contributor.authorXue, Fan-
dc.contributor.authorLi, Heng-
dc.date.accessioned2016-09-01T06:07:20Z-
dc.date.available2016-09-01T06:07:20Z-
dc.date.issued2014-
dc.identifier.citationJournal of Management in Engineering, 2014, v. 31, n. 1-
dc.identifier.issn0742-597X-
dc.identifier.urihttp://hdl.handle.net/10722/230994-
dc.description.abstract© 2014 American Society of Civil Engineers.With the increasing complexity of architecture, engineering, and construction (AEC) projects and fast track execution of project works, written documents are becoming more and more important for project coordination, communication, and works control. Finding all the relevant information from unstructured construction documents is critical to various management tasks such as work planning, progress control, and claims. A framework is proposed in this research to retrieve project-wide as-needed information from AEC documents. Through this framework, improvement in the levels of precision and recall in the information retrieval process can be made effective through the use of a project-specific term dictionary and dependency grammar parsing information of textual documents. Their effectiveness is demonstrated through a series of experimental tests conducted on a real life building redevelopment project with different information retrieval and ranking strategies. The results and findings are presented in this paper along with discussion on the related issues on research and system development.-
dc.languageeng-
dc.relation.ispartofJournal of Management in Engineering-
dc.subjectProject management-
dc.subjectInformation retrieval-
dc.subjectDocument management-
dc.subjectDecision support-
dc.subjectNatural language processing-
dc.titleProject-based as-needed information retrieval from unstructured AEC documents-
dc.typeArticle-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1061/(ASCE)ME.1943-5479.0000341-
dc.identifier.scopuseid_2-s2.0-84936867445-
dc.identifier.volume31-
dc.identifier.issue1-
dc.identifier.spagenull-
dc.identifier.epagenull-

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