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Framework for Production of Ontology-Based Construction Claim Documents

Niu, J. / Issa, R. R. A.

The traditional way of construction project claim document production suffers from tediousness and inefficiency. The manual assembly of claim event history leads to poor reliability of the claim report, due to the claim knowledge gap between experts and clerks. Sharing the team's comprehensive and formal claim knowledge with all of the participants in the claim work flow would result in a more effective way of producing claim documents. This study proposes a system for the ontology-based automatic generation of construction claim documents. The system will extract claim knowledge from all the potential sources into ontology. Software agents supported by the ontology will then complete each part of the claim events history data collection and generation process. The system will also support other functions such as information retrieval, natural language processing and database management. Such a system would efficiently facilitate the claim documents work and become an effective assistant to claim experts.

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Framework for Production of Ontology-Based Construction Claim Documents

Niu, J. / Issa, R. R. A.

The traditional way of construction project claim document production suffers from tediousness and inefficiency. The manual assembly of claim event history leads to poor reliability of the claim report, due to the claim knowledge gap between experts and clerks. Sharing the team's comprehensive and formal claim knowledge with all of the participants in the claim work flow would result in a more effective way of producing claim documents. This study proposes a system for the ontology-based automatic generation of construction claim documents. The system will extract claim knowledge from all the potential sources into ontology. Software agents supported by the ontology will then complete each part of the claim events history data collection and generation process. The system will also support other functions such as information retrieval, natural language processing and database management. Such a system would efficiently facilitate the claim documents work and become an effective assistant to claim experts.

Framework for Production of Ontology-Based Construction Claim Documents

Niu, J. / Issa, R. R. A.

The traditional way of construction project claim document production suffers from tediousness and inefficiency. The manual assembly of claim event history leads to poor reliability of the claim report, due to the claim knowledge gap between experts and clerks. Sharing the team's comprehensive and formal claim knowledge with all of the participants in the claim work flow would result in a more effective way of producing claim documents. This study proposes a system for the ontology-based automatic generation of construction claim documents. The system will extract claim knowledge from all the potential sources into ontology. Software agents supported by the ontology will then complete each part of the claim events history data collection and generation process. The system will also support other functions such as information retrieval, natural language processing and database management. Such a system would efficiently facilitate the claim documents work and become an effective assistant to claim experts.

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Title:

Framework for Production of Ontology-Based Construction Claim Documents

Contributors:

Niu, J. (author) / Issa, R. R. A. (author)

Conference:

International Conference on Computing in Civil Engineering ; 2012 ; Clearwater Beach, Florida, United States

Published in:

Computing in Civil Engineering (2012) ; 9-16

Publication date:

2012-06-11

ISBN:

DOI:

https://doi.org/10.1061/9780784412343.0002

Type of media:

Conference paper

Type of material:

Electronic Resource

Language:

English

Keywords:

Documentation , Data processing , Claims , Construction , Construction industry , Sustainable development , Building information models , Information management , Computer applications , Decision making , Databases , Decision support systems

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