Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
ATZ-Fachkongress

Chassis.tech plus 2024


4 Kongresse in einer Veranstaltung

Treffen Sie in München die Fachleute von Chassis, Lenkung, Bremsen sowie Reifen/Räder.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Barriers of Automated BIM Use: Examining Factors of Project Delivery Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

27. Semantic Frame-Based Information Extraction from Utility Regulatory Documents to Support Compliance Checking

verfasst von : Xin Xu, Hubo Cai

Erschienen in: Advances in Informatics and Computing in Civil and Construction Engineering

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Computer-aided compliance checking is always a challenge in the Architecture, Engineering, and Construction (AEC) domain. In recent years, semantic compliance checking has gained a lot of attention. As the critical ingredient of the checking system, rule information needs to be extracted from regulatory texts and be formalized into machine-readable format. This paper proposed a semantic frame-based information extraction method with a focus on domain semantics and lexical semantics. The extraction process is characterized by the enrichment of lexical semantic frames and the mapping with the domain semantic framework. Natural language processing (NLP) and machine learning (ML) techniques were used to implement the extraction mechanism. The preliminary experiment shows a promising performance when extracting rule information from Indian Utility Accommodation Policy.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Using Augmented Reality to Facilitate Construction Site Activities
Nächstes Kapitel Ontology-Based Semantic Retrieval Method of Energy Consumption Management
Literatur
1.
Dimyadi, J., et al.: Computerizing regulatory knowledge for building engineering design. J. Comput. Civil Eng. 30(5) (2016)CrossRef
2.
Eastman, C., et al.: Automatic rule-based checking of building designs. Autom. constr. 18(8), 1011–1033 (2009)CrossRef
3.
Zhang, J., El-Gohary, N.M.: Semantic NLP-based information extraction from construction regulatory documents for automated compliance checking. J. Comput. Civil Eng. 30(2) (2013)CrossRef
4.
Abuzir, Y., Abuzir, M.D.O.: Constructing the civil engineering thesaurus (CET) using ThesWB. In: Computing in Civil Engineering, pp. 400–412 (2002)
5.
Al Qady, M., Kandil, A.: Concept relation extraction from construction documents using natural language processing. J. Const. Eng. Manage. 136(3), 294–302 (2009)CrossRef
6.
Salama, D.A., El-Gohary, N.M.: Automated compliance checking of construction operation plans using a deontology for the construction domain. J. Comput. Civil Eng. 27(6), 681–698 (2013)CrossRef
7.
Zhou, P., El-Gohary, N.: Ontology-based automated information extraction from building energy conservation codes. Autom. Const. 74, 103–117 (2017)CrossRef
8.
Manola, F., Miller, E., McBride, B.: RDF primer. W3C recommendation (2004)
9.
Pauwels, P., et al.: A semantic rule checking environment for building performance checking. Autom. Const. 20(5), 506–518 (2016)CrossRef
10.
Soysal, E., Cicekli, I., Baykal, N.: Design and evaluation of an ontology based information extraction system for radiological reports. Comput. Biol. Med. 40(11–12), 900–911 (2010)CrossRef
11.
Sapkota, K., et al.: Extracting meaningful entities from regulatory text: Towards automating regulatory compliance. In: Requirements Engineering and Law (RELAW), 2012 Fifth International Workshop on IEEE, pp. 29–32 (2012)
12.
Hogenboom, A., et al.: Semantics-based information extraction for detecting economic events. Multimed. Tools Appl. 64(1), 27–52 (2013)CrossRef
13.
Jurafsky, D., Martin, J.H.: Speech and language processing. Pearson, London (2014)
14.
El-Diraby, T.E., Osman, H.: A domain ontology for construction concepts in urban infrastructure products. Autom. Const. 20(8), 1120–1132 (2011)CrossRef
15.
El-Gohary, N.M., El-Diraby, T.E.: Domain ontology for processes in infrastructure and construction. J. Const. Eng. Manage. 136(7), 730–744 (2010)CrossRef
16.
Zhang, J., El-Diraby, T.E.: Mapping actors and roles in construction knowledge. In: Construction Research Congress 2009: Building a Sustainable Future, pp. 936–945 (2009)
17.
Xu, X., Cai, H., Chen, K.: An ontology approach to utility knowledge representation. Const. Res. Congr. 2018, 311–321 (2018)
18.
Fillmore, C.J., Baker, C.: A frames approach to semantic analysis. The Oxford handbook of linguistic analysis (2010)
19.
Moens, M.F.: Information extraction: algorithms and prospects in a retrieval context. Springer Science & Business Media (2006)
20.
Fautsch, C., Savoy, J.: Algorithmic stemmers or morphological analysis? An evaluation. J. Assoc. Inf. Sci. Technol. 60(8), 1616–1624 (2009)CrossRef
21.
Moschitti, A., Morarescu, P., Harabagiu, S.M.: Open Domain Information Extraction via Automatic Semantic Labeling. In: FLAIRS conference, pp. 397–401 (2003)
22.
Barzilay, R., Elhadad, M.: Using lexical chains for text summarization. Advances in automatic text summarization, pp. 111–121 (1999)
23.
Li, S., Cai, H., Kamat, V.R.: Integrating natural language processing and spatial reasoning for utility compliance checking. J. Const. Eng. Manage. 142(12) (2016)CrossRef
24.
Thompson, K.: Programming techniques: regular expression search algorithm. Commun. ACM 11(6), 419–422 (1968)CrossRef
25.
Das, D., et al.: Frame-semantic parsing. Comput. Linguist. 40(1), 9–56 (2014)CrossRef
26.
Roth, M., Lapata, M.: Context-aware frame-semantic role labeling. Trans. Assoc. Comput. Linguist. 3, 449–460 (2015)
27.
Gildea, D., Jurafsky, D.: Automatic labeling of semantic roles. Comput. linguist. 28(3), 245–288 (2002)CrossRef
Metadaten
Titel
Semantic Frame-Based Information Extraction from Utility Regulatory Documents to Support Compliance Checking
verfasst von
Xin Xu
Hubo Cai
Copyright-Jahr
2019
Buch
Advances in Informatics and Computing in Civil and Construction Engineering

Print ISBN: 978-3-030-00219-0

Electronic ISBN: 978-3-030-00220-6

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-00220-6_27