A refined architecture for terminological systems: Terminology = Schema + Views

Traditionally, the core of a Terminological Knowledge Representation System (TKRS) consists of a TBox or terminology, where concepts are introduced, and an ABox or world description, where facts about individuals are stated in terms of concept memberships. This design has a drawback because in most...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Artificial intelligence 1998-03, Vol.99 (2), p.209-260
Hauptverfasser: Buchheit, M., Donini, F.M., Nutt, W., Schaerf, A.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 260
container_issue 2
container_start_page 209
container_title Artificial intelligence
container_volume 99
creator Buchheit, M.
Donini, F.M.
Nutt, W.
Schaerf, A.
description Traditionally, the core of a Terminological Knowledge Representation System (TKRS) consists of a TBox or terminology, where concepts are introduced, and an ABox or world description, where facts about individuals are stated in terms of concept memberships. This design has a drawback because in most applications the TBox has to meet two functions at a time: On the one hand—similarly to a database schema—frame-like structures with type information are introduced through primitive concepts and primitive roles; on the other hand, views on the objects in the knowledge base are provided through defined concepts. We propose to account for this conceptual separation by partitioning the TBox into two components for primitive and defined concepts, which we call the schema and the view part. We envision the two parts to differ with respect to the language for concepts, the statements allowed, and the semantics. We argue that this separation achieves more conceptual clarity about the role of primitive and defined concepts and the semantics of terminological cycles. Two case studies show the computational benefits to be gained from the refined architecture.
doi_str_mv 10.1016/S0004-3702(97)00079-9
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_38600887</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0004370297000799</els_id><sourcerecordid>38600887</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3009-3495c7bad9f66581375082e23c0e5c67202f165b0eb33974f3ded8c890a5abc23</originalsourceid><addsrcrecordid>eNqFkF9LwzAUxYMoOKcfQciTKFK9SdYmEUTG8B8M9rDpa0jTWxdp15l0yr693SZ79elyLuccOD9CzhncMGDZ7RQABomQwC-1vOqE1Ik-ID2mJE-k5uyQ9PaWY3IS42cnhdasRyZDGrD0CyyoDW7uW3TtKiAtm0BbDLVfNFXz4Z2taFzHFut4R2f7_5re06mbY23pNX33-BNPyVFpq4hnf7dP3p4eZ6OXZDx5fh0Nx4kTADoRA506mdtCl1mWKiZkCoojFw4wdZnkwEuWpTlgLoSWg1IUWCinNNjU5o6LPrnY9S5D87XC2JraR4dVZRfYrKIRKgNQSnbGdGd0oYmx22qWwdc2rA0Ds8FntvjMho3R0mzxGd3lHnY57FZ8ewwmOo8Lh4UPHSNTNP6fhl_YoHZu</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>38600887</pqid></control><display><type>article</type><title>A refined architecture for terminological systems: Terminology = Schema + Views</title><source>ScienceDirect Journals (5 years ago - present)</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Buchheit, M. ; Donini, F.M. ; Nutt, W. ; Schaerf, A.</creator><creatorcontrib>Buchheit, M. ; Donini, F.M. ; Nutt, W. ; Schaerf, A.</creatorcontrib><description>Traditionally, the core of a Terminological Knowledge Representation System (TKRS) consists of a TBox or terminology, where concepts are introduced, and an ABox or world description, where facts about individuals are stated in terms of concept memberships. This design has a drawback because in most applications the TBox has to meet two functions at a time: On the one hand—similarly to a database schema—frame-like structures with type information are introduced through primitive concepts and primitive roles; on the other hand, views on the objects in the knowledge base are provided through defined concepts. We propose to account for this conceptual separation by partitioning the TBox into two components for primitive and defined concepts, which we call the schema and the view part. We envision the two parts to differ with respect to the language for concepts, the statements allowed, and the semantics. We argue that this separation achieves more conceptual clarity about the role of primitive and defined concepts and the semantics of terminological cycles. Two case studies show the computational benefits to be gained from the refined architecture.</description><identifier>ISSN: 0004-3702</identifier><identifier>EISSN: 1872-7921</identifier><identifier>DOI: 10.1016/S0004-3702(97)00079-9</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Artificial intelligence ; Description logics ; Domain modelling ; Knowledge ; Knowledge representation systems ; Knowledge-base architectures ; Modelling ; Subumption of concepts ; Terminology</subject><ispartof>Artificial intelligence, 1998-03, Vol.99 (2), p.209-260</ispartof><rights>1998</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3009-3495c7bad9f66581375082e23c0e5c67202f165b0eb33974f3ded8c890a5abc23</citedby><cites>FETCH-LOGICAL-c3009-3495c7bad9f66581375082e23c0e5c67202f165b0eb33974f3ded8c890a5abc23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/S0004-3702(97)00079-9$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Buchheit, M.</creatorcontrib><creatorcontrib>Donini, F.M.</creatorcontrib><creatorcontrib>Nutt, W.</creatorcontrib><creatorcontrib>Schaerf, A.</creatorcontrib><title>A refined architecture for terminological systems: Terminology = Schema + Views</title><title>Artificial intelligence</title><description>Traditionally, the core of a Terminological Knowledge Representation System (TKRS) consists of a TBox or terminology, where concepts are introduced, and an ABox or world description, where facts about individuals are stated in terms of concept memberships. This design has a drawback because in most applications the TBox has to meet two functions at a time: On the one hand—similarly to a database schema—frame-like structures with type information are introduced through primitive concepts and primitive roles; on the other hand, views on the objects in the knowledge base are provided through defined concepts. We propose to account for this conceptual separation by partitioning the TBox into two components for primitive and defined concepts, which we call the schema and the view part. We envision the two parts to differ with respect to the language for concepts, the statements allowed, and the semantics. We argue that this separation achieves more conceptual clarity about the role of primitive and defined concepts and the semantics of terminological cycles. Two case studies show the computational benefits to be gained from the refined architecture.</description><subject>Artificial intelligence</subject><subject>Description logics</subject><subject>Domain modelling</subject><subject>Knowledge</subject><subject>Knowledge representation systems</subject><subject>Knowledge-base architectures</subject><subject>Modelling</subject><subject>Subumption of concepts</subject><subject>Terminology</subject><issn>0004-3702</issn><issn>1872-7921</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><recordid>eNqFkF9LwzAUxYMoOKcfQciTKFK9SdYmEUTG8B8M9rDpa0jTWxdp15l0yr693SZ79elyLuccOD9CzhncMGDZ7RQABomQwC-1vOqE1Ik-ID2mJE-k5uyQ9PaWY3IS42cnhdasRyZDGrD0CyyoDW7uW3TtKiAtm0BbDLVfNFXz4Z2taFzHFut4R2f7_5re06mbY23pNX33-BNPyVFpq4hnf7dP3p4eZ6OXZDx5fh0Nx4kTADoRA506mdtCl1mWKiZkCoojFw4wdZnkwEuWpTlgLoSWg1IUWCinNNjU5o6LPrnY9S5D87XC2JraR4dVZRfYrKIRKgNQSnbGdGd0oYmx22qWwdc2rA0Ds8FntvjMho3R0mzxGd3lHnY57FZ8ewwmOo8Lh4UPHSNTNP6fhl_YoHZu</recordid><startdate>19980301</startdate><enddate>19980301</enddate><creator>Buchheit, M.</creator><creator>Donini, F.M.</creator><creator>Nutt, W.</creator><creator>Schaerf, A.</creator><general>Elsevier B.V</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope></search><sort><creationdate>19980301</creationdate><title>A refined architecture for terminological systems: Terminology = Schema + Views</title><author>Buchheit, M. ; Donini, F.M. ; Nutt, W. ; Schaerf, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3009-3495c7bad9f66581375082e23c0e5c67202f165b0eb33974f3ded8c890a5abc23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Artificial intelligence</topic><topic>Description logics</topic><topic>Domain modelling</topic><topic>Knowledge</topic><topic>Knowledge representation systems</topic><topic>Knowledge-base architectures</topic><topic>Modelling</topic><topic>Subumption of concepts</topic><topic>Terminology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Buchheit, M.</creatorcontrib><creatorcontrib>Donini, F.M.</creatorcontrib><creatorcontrib>Nutt, W.</creatorcontrib><creatorcontrib>Schaerf, A.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><jtitle>Artificial intelligence</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Buchheit, M.</au><au>Donini, F.M.</au><au>Nutt, W.</au><au>Schaerf, A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A refined architecture for terminological systems: Terminology = Schema + Views</atitle><jtitle>Artificial intelligence</jtitle><date>1998-03-01</date><risdate>1998</risdate><volume>99</volume><issue>2</issue><spage>209</spage><epage>260</epage><pages>209-260</pages><issn>0004-3702</issn><eissn>1872-7921</eissn><abstract>Traditionally, the core of a Terminological Knowledge Representation System (TKRS) consists of a TBox or terminology, where concepts are introduced, and an ABox or world description, where facts about individuals are stated in terms of concept memberships. This design has a drawback because in most applications the TBox has to meet two functions at a time: On the one hand—similarly to a database schema—frame-like structures with type information are introduced through primitive concepts and primitive roles; on the other hand, views on the objects in the knowledge base are provided through defined concepts. We propose to account for this conceptual separation by partitioning the TBox into two components for primitive and defined concepts, which we call the schema and the view part. We envision the two parts to differ with respect to the language for concepts, the statements allowed, and the semantics. We argue that this separation achieves more conceptual clarity about the role of primitive and defined concepts and the semantics of terminological cycles. Two case studies show the computational benefits to be gained from the refined architecture.</abstract><pub>Elsevier B.V</pub><doi>10.1016/S0004-3702(97)00079-9</doi><tpages>52</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0004-3702
ispartof Artificial intelligence, 1998-03, Vol.99 (2), p.209-260
issn 0004-3702
1872-7921
language eng
recordid cdi_proquest_miscellaneous_38600887
source ScienceDirect Journals (5 years ago - present); EZB-FREE-00999 freely available EZB journals
subjects Artificial intelligence
Description logics
Domain modelling
Knowledge
Knowledge representation systems
Knowledge-base architectures
Modelling
Subumption of concepts
Terminology
title A refined architecture for terminological systems: Terminology = Schema + Views
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T07%3A32%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20refined%20architecture%20for%20terminological%20systems:%20Terminology%20=%20Schema%20+%20Views&rft.jtitle=Artificial%20intelligence&rft.au=Buchheit,%20M.&rft.date=1998-03-01&rft.volume=99&rft.issue=2&rft.spage=209&rft.epage=260&rft.pages=209-260&rft.issn=0004-3702&rft.eissn=1872-7921&rft_id=info:doi/10.1016/S0004-3702(97)00079-9&rft_dat=%3Cproquest_cross%3E38600887%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=38600887&rft_id=info:pmid/&rft_els_id=S0004370297000799&rfr_iscdi=true