ERNEST: a semantic network system for pattern understanding
The authors give a detailed account of a system environment for treating general problems of image and speech understanding. A framework for representing declarative and procedural knowledge based on a suitable definition of a semantic network is provided. The syntax and semantics of the network are...
Gespeichert in:
Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence 1990-09, Vol.12 (9), p.883-905 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 905 |
---|---|
container_issue | 9 |
container_start_page | 883 |
container_title | IEEE transactions on pattern analysis and machine intelligence |
container_volume | 12 |
creator | Niemann, H. Sagerer, G.F. Schroder, S. Kummert, F. |
description | The authors give a detailed account of a system environment for treating general problems of image and speech understanding. A framework for representing declarative and procedural knowledge based on a suitable definition of a semantic network is provided. The syntax and semantics of the network are clearly defined. The pragmatics of the network in its use for pattern understanding are defined by several rules which are problem-independent. This allows one to formulate problem-independent control algorithms. Complete software environments are available to handle the described structures. The general applicability of the network system is demonstrated by short descriptions of three applications from different task domains.< > |
doi_str_mv | 10.1109/34.57683 |
format | Article |
fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_miscellaneous_28583117</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>57683</ieee_id><sourcerecordid>24973442</sourcerecordid><originalsourceid>FETCH-LOGICAL-c369t-77577a8621df4dbb702f09da7fd2dbf3043a401a544b2192d2e5449c828083453</originalsourceid><addsrcrecordid>eNqF0M9LwzAUB_AgCs4pePXWi-KlM8lLmkRPMuYPGAo6zyVtEql26UwyZP-91Q49enoP3ocvjy9CxwRPCMHqAtiEi0LCDhoRBSoHDmoXjTApaC4llfvoIMY3jAnjGEboavb0MHteXGY6i3apfWrqzNv02YX3LG5issvMdSFb6ZRs8NnaGxti0t40_vUQ7TndRnu0nWP0cjNbTO_y-ePt_fR6ntdQqJQLwYXQsqDEOGaqSmDqsDJaOENN5QAz0AwTzRmrKFHUUNuvqu6fxRIYhzE6G3JXoftY25jKZRNr27ba224dSyq5BELE_5ApAYzRHp4PsA5djMG6chWapQ6bkuDyu8YSWPlTY09Pt5k61rp1Qfu6iX9ecaIYyN6dDK6x1v6eh4wvK5N3kg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>24973442</pqid></control><display><type>article</type><title>ERNEST: a semantic network system for pattern understanding</title><source>IEEE Electronic Library (IEL)</source><creator>Niemann, H. ; Sagerer, G.F. ; Schroder, S. ; Kummert, F.</creator><creatorcontrib>Niemann, H. ; Sagerer, G.F. ; Schroder, S. ; Kummert, F.</creatorcontrib><description>The authors give a detailed account of a system environment for treating general problems of image and speech understanding. A framework for representing declarative and procedural knowledge based on a suitable definition of a semantic network is provided. The syntax and semantics of the network are clearly defined. The pragmatics of the network in its use for pattern understanding are defined by several rules which are problem-independent. This allows one to formulate problem-independent control algorithms. Complete software environments are available to handle the described structures. The general applicability of the network system is demonstrated by short descriptions of three applications from different task domains.< ></description><identifier>ISSN: 0162-8828</identifier><identifier>EISSN: 1939-3539</identifier><identifier>DOI: 10.1109/34.57683</identifier><identifier>CODEN: ITPIDJ</identifier><language>eng</language><publisher>Los Alamitos, CA: IEEE</publisher><subject>Application software ; Applied sciences ; Artificial intelligence ; Assembly ; Computer science; control theory; systems ; Control systems ; Employment ; Exact sciences and technology ; Image segmentation ; Image sensors ; Pattern recognition. Digital image processing. Computational geometry ; Sensor arrays ; Sensor phenomena and characterization ; Signal processing ; Speech processing</subject><ispartof>IEEE transactions on pattern analysis and machine intelligence, 1990-09, Vol.12 (9), p.883-905</ispartof><rights>1991 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c369t-77577a8621df4dbb702f09da7fd2dbf3043a401a544b2192d2e5449c828083453</citedby><cites>FETCH-LOGICAL-c369t-77577a8621df4dbb702f09da7fd2dbf3043a401a544b2192d2e5449c828083453</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/57683$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/57683$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=19519438$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Niemann, H.</creatorcontrib><creatorcontrib>Sagerer, G.F.</creatorcontrib><creatorcontrib>Schroder, S.</creatorcontrib><creatorcontrib>Kummert, F.</creatorcontrib><title>ERNEST: a semantic network system for pattern understanding</title><title>IEEE transactions on pattern analysis and machine intelligence</title><addtitle>TPAMI</addtitle><description>The authors give a detailed account of a system environment for treating general problems of image and speech understanding. A framework for representing declarative and procedural knowledge based on a suitable definition of a semantic network is provided. The syntax and semantics of the network are clearly defined. The pragmatics of the network in its use for pattern understanding are defined by several rules which are problem-independent. This allows one to formulate problem-independent control algorithms. Complete software environments are available to handle the described structures. The general applicability of the network system is demonstrated by short descriptions of three applications from different task domains.< ></description><subject>Application software</subject><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Assembly</subject><subject>Computer science; control theory; systems</subject><subject>Control systems</subject><subject>Employment</subject><subject>Exact sciences and technology</subject><subject>Image segmentation</subject><subject>Image sensors</subject><subject>Pattern recognition. Digital image processing. Computational geometry</subject><subject>Sensor arrays</subject><subject>Sensor phenomena and characterization</subject><subject>Signal processing</subject><subject>Speech processing</subject><issn>0162-8828</issn><issn>1939-3539</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1990</creationdate><recordtype>article</recordtype><recordid>eNqF0M9LwzAUB_AgCs4pePXWi-KlM8lLmkRPMuYPGAo6zyVtEql26UwyZP-91Q49enoP3ocvjy9CxwRPCMHqAtiEi0LCDhoRBSoHDmoXjTApaC4llfvoIMY3jAnjGEboavb0MHteXGY6i3apfWrqzNv02YX3LG5issvMdSFb6ZRs8NnaGxti0t40_vUQ7TndRnu0nWP0cjNbTO_y-ePt_fR6ntdQqJQLwYXQsqDEOGaqSmDqsDJaOENN5QAz0AwTzRmrKFHUUNuvqu6fxRIYhzE6G3JXoftY25jKZRNr27ba224dSyq5BELE_5ApAYzRHp4PsA5djMG6chWapQ6bkuDyu8YSWPlTY09Pt5k61rp1Qfu6iX9ecaIYyN6dDK6x1v6eh4wvK5N3kg</recordid><startdate>19900901</startdate><enddate>19900901</enddate><creator>Niemann, H.</creator><creator>Sagerer, G.F.</creator><creator>Schroder, S.</creator><creator>Kummert, F.</creator><general>IEEE</general><general>IEEE Computer Society</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>19900901</creationdate><title>ERNEST: a semantic network system for pattern understanding</title><author>Niemann, H. ; Sagerer, G.F. ; Schroder, S. ; Kummert, F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c369t-77577a8621df4dbb702f09da7fd2dbf3043a401a544b2192d2e5449c828083453</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1990</creationdate><topic>Application software</topic><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Assembly</topic><topic>Computer science; control theory; systems</topic><topic>Control systems</topic><topic>Employment</topic><topic>Exact sciences and technology</topic><topic>Image segmentation</topic><topic>Image sensors</topic><topic>Pattern recognition. Digital image processing. Computational geometry</topic><topic>Sensor arrays</topic><topic>Sensor phenomena and characterization</topic><topic>Signal processing</topic><topic>Speech processing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Niemann, H.</creatorcontrib><creatorcontrib>Sagerer, G.F.</creatorcontrib><creatorcontrib>Schroder, S.</creatorcontrib><creatorcontrib>Kummert, F.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE transactions on pattern analysis and machine intelligence</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Niemann, H.</au><au>Sagerer, G.F.</au><au>Schroder, S.</au><au>Kummert, F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>ERNEST: a semantic network system for pattern understanding</atitle><jtitle>IEEE transactions on pattern analysis and machine intelligence</jtitle><stitle>TPAMI</stitle><date>1990-09-01</date><risdate>1990</risdate><volume>12</volume><issue>9</issue><spage>883</spage><epage>905</epage><pages>883-905</pages><issn>0162-8828</issn><eissn>1939-3539</eissn><coden>ITPIDJ</coden><abstract>The authors give a detailed account of a system environment for treating general problems of image and speech understanding. A framework for representing declarative and procedural knowledge based on a suitable definition of a semantic network is provided. The syntax and semantics of the network are clearly defined. The pragmatics of the network in its use for pattern understanding are defined by several rules which are problem-independent. This allows one to formulate problem-independent control algorithms. Complete software environments are available to handle the described structures. The general applicability of the network system is demonstrated by short descriptions of three applications from different task domains.< ></abstract><cop>Los Alamitos, CA</cop><pub>IEEE</pub><doi>10.1109/34.57683</doi><tpages>23</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 0162-8828 |
ispartof | IEEE transactions on pattern analysis and machine intelligence, 1990-09, Vol.12 (9), p.883-905 |
issn | 0162-8828 1939-3539 |
language | eng |
recordid | cdi_proquest_miscellaneous_28583117 |
source | IEEE Electronic Library (IEL) |
subjects | Application software Applied sciences Artificial intelligence Assembly Computer science control theory systems Control systems Employment Exact sciences and technology Image segmentation Image sensors Pattern recognition. Digital image processing. Computational geometry Sensor arrays Sensor phenomena and characterization Signal processing Speech processing |
title | ERNEST: a semantic network system for pattern understanding |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T22%3A37%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=ERNEST:%20a%20semantic%20network%20system%20for%20pattern%20understanding&rft.jtitle=IEEE%20transactions%20on%20pattern%20analysis%20and%20machine%20intelligence&rft.au=Niemann,%20H.&rft.date=1990-09-01&rft.volume=12&rft.issue=9&rft.spage=883&rft.epage=905&rft.pages=883-905&rft.issn=0162-8828&rft.eissn=1939-3539&rft.coden=ITPIDJ&rft_id=info:doi/10.1109/34.57683&rft_dat=%3Cproquest_RIE%3E24973442%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=24973442&rft_id=info:pmid/&rft_ieee_id=57683&rfr_iscdi=true |