KICS:
Abstract: "There have been several knowledge-based systems for statutory building regulations during the last decade, such as Fenves et al's systems using the SASE model, Stone and Wilcox's system using a rule- based approach, and Waard's system using Cornick et al's model-b...
Gespeichert in:
Hauptverfasser: | , , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Edinburgh
1993
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Schriftenreihe: | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper
628 |
Schlagworte: | |
Zusammenfassung: | Abstract: "There have been several knowledge-based systems for statutory building regulations during the last decade, such as Fenves et al's systems using the SASE model, Stone and Wilcox's system using a rule- based approach, and Waard's system using Cornick et al's model-based approach. However, they take into account only one side of building regulations, considering them only in the context of design systems and ignoring the existence of case histories. Building regulations are also part of a legal system and have characteristics of law. In this paper, we propose a Knowledge-Intensive Case-based reasoning System which can be used for the retrieval and maintenance of building regulations and case histories First, we propose a unified knowledge representation scheme for both statutory building regulations and case histories. Second, we describe the retrieval of regulations information, which uses the notion of implied similarity as well as structural mapping. Finally, we describe knowledge acquisition from case histories, which is guided by knowledge gained from statutory regulations and case histories. |
Beschreibung: | 18 S. |
Internformat
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100 | 1 | |a Yang, Soon-Ae |e Verfasser |4 aut | |
245 | 1 | 0 | |a KICS |c a knowledge-intensive case-based reasoning system for statutory building regulations and case histories |
264 | 1 | |a Edinburgh |c 1993 | |
300 | |a 18 S. | ||
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490 | 1 | |a University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |v 628 | |
520 | 3 | |a Abstract: "There have been several knowledge-based systems for statutory building regulations during the last decade, such as Fenves et al's systems using the SASE model, Stone and Wilcox's system using a rule- based approach, and Waard's system using Cornick et al's model-based approach. However, they take into account only one side of building regulations, considering them only in the context of design systems and ignoring the existence of case histories. Building regulations are also part of a legal system and have characteristics of law. In this paper, we propose a Knowledge-Intensive Case-based reasoning System which can be used for the retrieval and maintenance of building regulations and case histories | |
520 | 3 | |a First, we propose a unified knowledge representation scheme for both statutory building regulations and case histories. Second, we describe the retrieval of regulations information, which uses the notion of implied similarity as well as structural mapping. Finally, we describe knowledge acquisition from case histories, which is guided by knowledge gained from statutory regulations and case histories. | |
650 | 7 | |a Bionics and artificial intelligence |2 sigle | |
650 | 4 | |a Expert systems (Computer science) | |
700 | 1 | |a Robertson, Dave |e Verfasser |4 aut | |
700 | 1 | |a Lee, John |e Verfasser |4 aut | |
810 | 2 | |a Department of Artificial Intelligence: DAI research paper |t University <Edinburgh> |v 628 |w (DE-604)BV010450646 |9 628 | |
999 | |a oai:aleph.bib-bvb.de:BVB01-016977082 |
Datensatz im Suchindex
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author | Yang, Soon-Ae Robertson, Dave Lee, John |
author_facet | Yang, Soon-Ae Robertson, Dave Lee, John |
author_role | aut aut aut |
author_sort | Yang, Soon-Ae |
author_variant | s a y say d r dr j l jl |
building | Verbundindex |
bvnumber | BV035170138 |
ctrlnum | (OCoLC)31073906 (DE-599)BVBBV035170138 |
format | Book |
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id | DE-604.BV035170138 |
illustrated | Not Illustrated |
index_date | 2024-07-02T22:54:01Z |
indexdate | 2024-07-09T21:26:35Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016977082 |
oclc_num | 31073906 |
open_access_boolean | |
owner | DE-91G DE-BY-TUM |
owner_facet | DE-91G DE-BY-TUM |
physical | 18 S. |
publishDate | 1993 |
publishDateSearch | 1993 |
publishDateSort | 1993 |
record_format | marc |
series2 | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |
spelling | Yang, Soon-Ae Verfasser aut KICS a knowledge-intensive case-based reasoning system for statutory building regulations and case histories Edinburgh 1993 18 S. txt rdacontent n rdamedia nc rdacarrier University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 628 Abstract: "There have been several knowledge-based systems for statutory building regulations during the last decade, such as Fenves et al's systems using the SASE model, Stone and Wilcox's system using a rule- based approach, and Waard's system using Cornick et al's model-based approach. However, they take into account only one side of building regulations, considering them only in the context of design systems and ignoring the existence of case histories. Building regulations are also part of a legal system and have characteristics of law. In this paper, we propose a Knowledge-Intensive Case-based reasoning System which can be used for the retrieval and maintenance of building regulations and case histories First, we propose a unified knowledge representation scheme for both statutory building regulations and case histories. Second, we describe the retrieval of regulations information, which uses the notion of implied similarity as well as structural mapping. Finally, we describe knowledge acquisition from case histories, which is guided by knowledge gained from statutory regulations and case histories. Bionics and artificial intelligence sigle Expert systems (Computer science) Robertson, Dave Verfasser aut Lee, John Verfasser aut Department of Artificial Intelligence: DAI research paper University <Edinburgh> 628 (DE-604)BV010450646 628 |
spellingShingle | Yang, Soon-Ae Robertson, Dave Lee, John KICS Bionics and artificial intelligence sigle Expert systems (Computer science) |
title | KICS |
title_auth | KICS |
title_exact_search | KICS |
title_exact_search_txtP | KICS |
title_full | KICS a knowledge-intensive case-based reasoning system for statutory building regulations and case histories |
title_fullStr | KICS a knowledge-intensive case-based reasoning system for statutory building regulations and case histories |
title_full_unstemmed | KICS a knowledge-intensive case-based reasoning system for statutory building regulations and case histories |
title_short | KICS |
title_sort | kics |
topic | Bionics and artificial intelligence sigle Expert systems (Computer science) |
topic_facet | Bionics and artificial intelligence Expert systems (Computer science) |
volume_link | (DE-604)BV010450646 |
work_keys_str_mv | AT yangsoonae kics AT robertsondave kics AT leejohn kics |