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Building a Construction Project Key-Phrase Network from Unstructured Text Documents

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Authors
Nedeljković, Đorđe
Kovačević, Miloš
Article (Published version)
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Abstract
During a construction project lifecycle, an extensive corpus of unstructured or semistructured text documents is generated. The nature of unstructured sources impedes users' acquisition, analysis, and reuse of relevant information in an integral form, leading to a possible reduction in project performance because of untimely or inadequate decisions. This paper explores the representation of information from unstructured documents in the form of a key-phrase network, intended to provide users with the possibility to visualize and analyze valuable project facts with less effort. A network of key phrases automatically extracted from various types of unstructured documents, with relations based on contextual similarity, was implemented as a graph database, enabling project participants to extract and visualize various patterns in data. With the objective of constructing a domain-independent key-phrase network with minimal expert involvement, an approach to detect key phrases in a multiling...ual environment was examined by using measures of association between words while avoiding text content from less informative contexts. A possible application is demonstrated using key-phrase networks generated from two complex international construction projects.

Keywords:
Unstructured data / Key phrase / Key-phrase network / Entropy / Relation / Visualization
Source:
Journal of Computing in Civil Engineering, 2017, 31, 6
Publisher:
  • American Society of Civil Engineers (ASCE)

DOI: 10.1061/(ASCE)CP.1943-5487.0000708

ISSN: 0887-3801

WoS: 000426243200005

Scopus: 2-s2.0-85026636219
[ Google Scholar ]
13
4
URI
https://grafar.grf.bg.ac.rs/handle/123456789/898
Collections
  • Radovi istraživača / Researcher's publications
  • Катедра за управљање пројектима у грађевинарству
Institution/Community
GraFar
TY  - JOUR
AU  - Nedeljković, Đorđe
AU  - Kovačević, Miloš
PY  - 2017
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/898
AB  - During a construction project lifecycle, an extensive corpus of unstructured or semistructured text documents is generated. The nature of unstructured sources impedes users' acquisition, analysis, and reuse of relevant information in an integral form, leading to a possible reduction in project performance because of untimely or inadequate decisions. This paper explores the representation of information from unstructured documents in the form of a key-phrase network, intended to provide users with the possibility to visualize and analyze valuable project facts with less effort. A network of key phrases automatically extracted from various types of unstructured documents, with relations based on contextual similarity, was implemented as a graph database, enabling project participants to extract and visualize various patterns in data. With the objective of constructing a domain-independent key-phrase network with minimal expert involvement, an approach to detect key phrases in a multilingual environment was examined by using measures of association between words while avoiding text content from less informative contexts. A possible application is demonstrated using key-phrase networks generated from two complex international construction projects.
PB  - American Society of Civil Engineers (ASCE)
T2  - Journal of Computing in Civil Engineering
T1  - Building a Construction Project Key-Phrase Network from Unstructured Text Documents
IS  - 6
VL  - 31
DO  - 10.1061/(ASCE)CP.1943-5487.0000708
ER  - 
@article{
author = "Nedeljković, Đorđe and Kovačević, Miloš",
year = "2017",
abstract = "During a construction project lifecycle, an extensive corpus of unstructured or semistructured text documents is generated. The nature of unstructured sources impedes users' acquisition, analysis, and reuse of relevant information in an integral form, leading to a possible reduction in project performance because of untimely or inadequate decisions. This paper explores the representation of information from unstructured documents in the form of a key-phrase network, intended to provide users with the possibility to visualize and analyze valuable project facts with less effort. A network of key phrases automatically extracted from various types of unstructured documents, with relations based on contextual similarity, was implemented as a graph database, enabling project participants to extract and visualize various patterns in data. With the objective of constructing a domain-independent key-phrase network with minimal expert involvement, an approach to detect key phrases in a multilingual environment was examined by using measures of association between words while avoiding text content from less informative contexts. A possible application is demonstrated using key-phrase networks generated from two complex international construction projects.",
publisher = "American Society of Civil Engineers (ASCE)",
journal = "Journal of Computing in Civil Engineering",
title = "Building a Construction Project Key-Phrase Network from Unstructured Text Documents",
number = "6",
volume = "31",
doi = "10.1061/(ASCE)CP.1943-5487.0000708"
}
Nedeljković, Đ.,& Kovačević, M.. (2017). Building a Construction Project Key-Phrase Network from Unstructured Text Documents. in Journal of Computing in Civil Engineering
American Society of Civil Engineers (ASCE)., 31(6).
https://doi.org/10.1061/(ASCE)CP.1943-5487.0000708
Nedeljković Đ, Kovačević M. Building a Construction Project Key-Phrase Network from Unstructured Text Documents. in Journal of Computing in Civil Engineering. 2017;31(6).
doi:10.1061/(ASCE)CP.1943-5487.0000708 .
Nedeljković, Đorđe, Kovačević, Miloš, "Building a Construction Project Key-Phrase Network from Unstructured Text Documents" in Journal of Computing in Civil Engineering, 31, no. 6 (2017),
https://doi.org/10.1061/(ASCE)CP.1943-5487.0000708 . .

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