A system for query comprehension
A major difficulty of query writing is that users do not fully understand queries. A system providing feedback is proposed so as to enable users to better understand their queries. It is a multi-functional rule-based system. In addition to providing an English translation for the query, it pin-point...
Gespeichert in:
Veröffentlicht in: | Information and software technology 1997-03, Vol.39 (3), p.141-148 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 148 |
---|---|
container_issue | 3 |
container_start_page | 141 |
container_title | Information and software technology |
container_volume | 39 |
creator | Chan, Hock Chuan Wei, Kwok Kee Siau, Keng Leng |
description | A major difficulty of query writing is that users do not fully understand queries. A system providing feedback is proposed so as to enable users to better understand their queries. It is a multi-functional rule-based system. In addition to providing an English translation for the query, it pin-points syntax errors, and suggests possible solutions. It also finds likely semantic errors, and provides possible solutions. The system was implemented for a query language based on the entity relationship model. It is expected to lead to better user performance. Empirical testing showed significant improvement in user performance with the feedback system. The system can be used for computer-aided training and in actual operations. |
doi_str_mv | 10.1016/S0950-5849(96)01136-6 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_57410445</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0950584996011366</els_id><sourcerecordid>11843063</sourcerecordid><originalsourceid>FETCH-LOGICAL-c450t-db6c9a7844f7aacaca2831ad3058b3aadf8fd3f63dfe5066ab768b587537e4d53</originalsourceid><addsrcrecordid>eNqFkE1LAzEQhoMoWKs_QVg8iB5WJ5vPPYkUv6DgQT2HbDLBLe2mJluh_95tKx68lDnM5XlfZh5CzincUKDy9g1qAaXQvL6q5TVQymQpD8iIasVKCZU4JKM_5Jic5DwDoAoYjEhxX-R17nFRhJiKrxWmdeHiYpnwE7vcxu6UHAU7z3j2u8fk4_HhffJcTl-fXib309JxAX3pG-lqqzTnQVnrhqk0o9YzELph1vqgg2dBMh9QgJS2UVI3QivBFHIv2Jhc7nqXKQ5n5N4s2uxwPrcdxlU2QnEKnO8HK8UUl3oDXvwDZ3GVuuEJQ2vJqaoqGCCxg1yKOScMZpnahU1rQ8Fs7JqtXbNRZ2pptnaNHHJ3uxwOTr5bTCa7FjuHvk3oeuNju6fhB3cLf_s</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>196417220</pqid></control><display><type>article</type><title>A system for query comprehension</title><source>Elsevier ScienceDirect Journals Complete - AutoHoldings</source><creator>Chan, Hock Chuan ; Wei, Kwok Kee ; Siau, Keng Leng</creator><creatorcontrib>Chan, Hock Chuan ; Wei, Kwok Kee ; Siau, Keng Leng</creatorcontrib><description>A major difficulty of query writing is that users do not fully understand queries. A system providing feedback is proposed so as to enable users to better understand their queries. It is a multi-functional rule-based system. In addition to providing an English translation for the query, it pin-points syntax errors, and suggests possible solutions. It also finds likely semantic errors, and provides possible solutions. The system was implemented for a query language based on the entity relationship model. It is expected to lead to better user performance. Empirical testing showed significant improvement in user performance with the feedback system. The system can be used for computer-aided training and in actual operations.</description><identifier>ISSN: 0950-5849</identifier><identifier>EISSN: 1873-6025</identifier><identifier>DOI: 10.1016/S0950-5849(96)01136-6</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>CAI ; Computer assisted instruction ; Empirical evaluation ; English feedback ; English language ; Entity relationship model ; Feedback ; Mathematical models ; Online information retrieval ; Queries ; Query formulation ; Query language ; Searching ; Semantics ; Structured Query Language-SQL ; Studies ; Systems design ; User performance ; User understanding</subject><ispartof>Information and software technology, 1997-03, Vol.39 (3), p.141-148</ispartof><rights>1997</rights><rights>Copyright Elsevier Science Ltd. Mar 1997</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c450t-db6c9a7844f7aacaca2831ad3058b3aadf8fd3f63dfe5066ab768b587537e4d53</citedby><cites>FETCH-LOGICAL-c450t-db6c9a7844f7aacaca2831ad3058b3aadf8fd3f63dfe5066ab768b587537e4d53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/S0950-5849(96)01136-6$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3549,27923,27924,45994</link.rule.ids></links><search><creatorcontrib>Chan, Hock Chuan</creatorcontrib><creatorcontrib>Wei, Kwok Kee</creatorcontrib><creatorcontrib>Siau, Keng Leng</creatorcontrib><title>A system for query comprehension</title><title>Information and software technology</title><description>A major difficulty of query writing is that users do not fully understand queries. A system providing feedback is proposed so as to enable users to better understand their queries. It is a multi-functional rule-based system. In addition to providing an English translation for the query, it pin-points syntax errors, and suggests possible solutions. It also finds likely semantic errors, and provides possible solutions. The system was implemented for a query language based on the entity relationship model. It is expected to lead to better user performance. Empirical testing showed significant improvement in user performance with the feedback system. The system can be used for computer-aided training and in actual operations.</description><subject>CAI</subject><subject>Computer assisted instruction</subject><subject>Empirical evaluation</subject><subject>English feedback</subject><subject>English language</subject><subject>Entity relationship model</subject><subject>Feedback</subject><subject>Mathematical models</subject><subject>Online information retrieval</subject><subject>Queries</subject><subject>Query formulation</subject><subject>Query language</subject><subject>Searching</subject><subject>Semantics</subject><subject>Structured Query Language-SQL</subject><subject>Studies</subject><subject>Systems design</subject><subject>User performance</subject><subject>User understanding</subject><issn>0950-5849</issn><issn>1873-6025</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1997</creationdate><recordtype>article</recordtype><recordid>eNqFkE1LAzEQhoMoWKs_QVg8iB5WJ5vPPYkUv6DgQT2HbDLBLe2mJluh_95tKx68lDnM5XlfZh5CzincUKDy9g1qAaXQvL6q5TVQymQpD8iIasVKCZU4JKM_5Jic5DwDoAoYjEhxX-R17nFRhJiKrxWmdeHiYpnwE7vcxu6UHAU7z3j2u8fk4_HhffJcTl-fXib309JxAX3pG-lqqzTnQVnrhqk0o9YzELph1vqgg2dBMh9QgJS2UVI3QivBFHIv2Jhc7nqXKQ5n5N4s2uxwPrcdxlU2QnEKnO8HK8UUl3oDXvwDZ3GVuuEJQ2vJqaoqGCCxg1yKOScMZpnahU1rQ8Fs7JqtXbNRZ2pptnaNHHJ3uxwOTr5bTCa7FjuHvk3oeuNju6fhB3cLf_s</recordid><startdate>19970301</startdate><enddate>19970301</enddate><creator>Chan, Hock Chuan</creator><creator>Wei, Kwok Kee</creator><creator>Siau, Keng Leng</creator><general>Elsevier B.V</general><general>Elsevier Science Ltd</general><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><scope>E3H</scope><scope>F2A</scope></search><sort><creationdate>19970301</creationdate><title>A system for query comprehension</title><author>Chan, Hock Chuan ; Wei, Kwok Kee ; Siau, Keng Leng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c450t-db6c9a7844f7aacaca2831ad3058b3aadf8fd3f63dfe5066ab768b587537e4d53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1997</creationdate><topic>CAI</topic><topic>Computer assisted instruction</topic><topic>Empirical evaluation</topic><topic>English feedback</topic><topic>English language</topic><topic>Entity relationship model</topic><topic>Feedback</topic><topic>Mathematical models</topic><topic>Online information retrieval</topic><topic>Queries</topic><topic>Query formulation</topic><topic>Query language</topic><topic>Searching</topic><topic>Semantics</topic><topic>Structured Query Language-SQL</topic><topic>Studies</topic><topic>Systems design</topic><topic>User performance</topic><topic>User understanding</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chan, Hock Chuan</creatorcontrib><creatorcontrib>Wei, Kwok Kee</creatorcontrib><creatorcontrib>Siau, Keng Leng</creatorcontrib><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><collection>Library & Information Sciences Abstracts (LISA)</collection><collection>Library & Information Science Abstracts (LISA)</collection><jtitle>Information and software technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chan, Hock Chuan</au><au>Wei, Kwok Kee</au><au>Siau, Keng Leng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A system for query comprehension</atitle><jtitle>Information and software technology</jtitle><date>1997-03-01</date><risdate>1997</risdate><volume>39</volume><issue>3</issue><spage>141</spage><epage>148</epage><pages>141-148</pages><issn>0950-5849</issn><eissn>1873-6025</eissn><abstract>A major difficulty of query writing is that users do not fully understand queries. A system providing feedback is proposed so as to enable users to better understand their queries. It is a multi-functional rule-based system. In addition to providing an English translation for the query, it pin-points syntax errors, and suggests possible solutions. It also finds likely semantic errors, and provides possible solutions. The system was implemented for a query language based on the entity relationship model. It is expected to lead to better user performance. Empirical testing showed significant improvement in user performance with the feedback system. The system can be used for computer-aided training and in actual operations.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/S0950-5849(96)01136-6</doi><tpages>8</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0950-5849 |
ispartof | Information and software technology, 1997-03, Vol.39 (3), p.141-148 |
issn | 0950-5849 1873-6025 |
language | eng |
recordid | cdi_proquest_miscellaneous_57410445 |
source | Elsevier ScienceDirect Journals Complete - AutoHoldings |
subjects | CAI Computer assisted instruction Empirical evaluation English feedback English language Entity relationship model Feedback Mathematical models Online information retrieval Queries Query formulation Query language Searching Semantics Structured Query Language-SQL Studies Systems design User performance User understanding |
title | A system for query comprehension |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T07%3A26%3A32IST&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%20system%20for%20query%20comprehension&rft.jtitle=Information%20and%20software%20technology&rft.au=Chan,%20Hock%20Chuan&rft.date=1997-03-01&rft.volume=39&rft.issue=3&rft.spage=141&rft.epage=148&rft.pages=141-148&rft.issn=0950-5849&rft.eissn=1873-6025&rft_id=info:doi/10.1016/S0950-5849(96)01136-6&rft_dat=%3Cproquest_cross%3E11843063%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=196417220&rft_id=info:pmid/&rft_els_id=S0950584996011366&rfr_iscdi=true |