Loading…

Knowledge-based query formulation for integrated information systems

The U.S. Army, like many large organizations, relies upon heterogeneous and distributed information systems for managing massive quantities of data. Formulating queries within these systems has been difficult because of the underlying structural complexity of the associated databases. Formulating qu...

Full description

Saved in:
Bibliographic Details
Published in:Johns Hopkins APL technical digest 1997-04, Vol.18 (2), p.261-270
Main Authors: Semmel, Ralph D, Immer, Elisabeth A, Silberberg, David P, Winkler, Robert P
Format: Article
Language:English
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 270
container_issue 2
container_start_page 261
container_title Johns Hopkins APL technical digest
container_volume 18
creator Semmel, Ralph D
Immer, Elisabeth A
Silberberg, David P
Winkler, Robert P
description The U.S. Army, like many large organizations, relies upon heterogeneous and distributed information systems for managing massive quantities of data. Formulating queries within these systems has been difficult because of the underlying structural complexity of the associated databases. Formulating queries across these systems has been impossible because of the additional lack of integration and interoperability. The Applied Physics Laboratory is collaborating with the U.S. Army Research Laboratory to develop advanced capabilities to support automated query formulation, conceptual modeling, and systems integration. In addition, a framework based on intelligent agents and distributed objects has been developed that will facilitate the fusing of new and legacy systems, interoperability, and the creation of intelligent interfaces. (Author)
format article
fullrecord <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_miscellaneous_26555382</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>26555382</sourcerecordid><originalsourceid>FETCH-LOGICAL-p184t-7c76cdd50152aaf3e2912d08d2ab0b0cb1a157a7f0801737ad9dceddb7a3e1df3</originalsourceid><addsrcrecordid>eNotjktLAzEUhbNQsFb_w6zcBfJomnQp9YmFbnRdbnJvykgmqZMM0n9vS12dA9_H4VyxmVBWcKPk4obd1vothDJSuxl7-sjlNxHuiXuohN3PROOxi2UcpgStL_ncuz432o_QTkKfz_CC6rE2Guodu46QKt3_55x9vTx_rt_4Zvv6vn7c8IN0i8ZtsMuAaIQ0CiBqUiupUDhU4IUXwUuQxoKNwglptQVcYSBEb0GTxKjn7OGyexjL6Wdtu6GvgVKCTGWqO7U0xmin9B9H0kmM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>26555382</pqid></control><display><type>article</type><title>Knowledge-based query formulation for integrated information systems</title><source>Freely Accessible Journals</source><creator>Semmel, Ralph D ; Immer, Elisabeth A ; Silberberg, David P ; Winkler, Robert P</creator><creatorcontrib>Semmel, Ralph D ; Immer, Elisabeth A ; Silberberg, David P ; Winkler, Robert P</creatorcontrib><description>The U.S. Army, like many large organizations, relies upon heterogeneous and distributed information systems for managing massive quantities of data. Formulating queries within these systems has been difficult because of the underlying structural complexity of the associated databases. Formulating queries across these systems has been impossible because of the additional lack of integration and interoperability. The Applied Physics Laboratory is collaborating with the U.S. Army Research Laboratory to develop advanced capabilities to support automated query formulation, conceptual modeling, and systems integration. In addition, a framework based on intelligent agents and distributed objects has been developed that will facilitate the fusing of new and legacy systems, interoperability, and the creation of intelligent interfaces. (Author)</description><identifier>ISSN: 0270-5214</identifier><language>eng</language><ispartof>Johns Hopkins APL technical digest, 1997-04, Vol.18 (2), p.261-270</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784</link.rule.ids></links><search><creatorcontrib>Semmel, Ralph D</creatorcontrib><creatorcontrib>Immer, Elisabeth A</creatorcontrib><creatorcontrib>Silberberg, David P</creatorcontrib><creatorcontrib>Winkler, Robert P</creatorcontrib><title>Knowledge-based query formulation for integrated information systems</title><title>Johns Hopkins APL technical digest</title><description>The U.S. Army, like many large organizations, relies upon heterogeneous and distributed information systems for managing massive quantities of data. Formulating queries within these systems has been difficult because of the underlying structural complexity of the associated databases. Formulating queries across these systems has been impossible because of the additional lack of integration and interoperability. The Applied Physics Laboratory is collaborating with the U.S. Army Research Laboratory to develop advanced capabilities to support automated query formulation, conceptual modeling, and systems integration. In addition, a framework based on intelligent agents and distributed objects has been developed that will facilitate the fusing of new and legacy systems, interoperability, and the creation of intelligent interfaces. (Author)</description><issn>0270-5214</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1997</creationdate><recordtype>article</recordtype><recordid>eNotjktLAzEUhbNQsFb_w6zcBfJomnQp9YmFbnRdbnJvykgmqZMM0n9vS12dA9_H4VyxmVBWcKPk4obd1vothDJSuxl7-sjlNxHuiXuohN3PROOxi2UcpgStL_ncuz432o_QTkKfz_CC6rE2Guodu46QKt3_55x9vTx_rt_4Zvv6vn7c8IN0i8ZtsMuAaIQ0CiBqUiupUDhU4IUXwUuQxoKNwglptQVcYSBEb0GTxKjn7OGyexjL6Wdtu6GvgVKCTGWqO7U0xmin9B9H0kmM</recordid><startdate>19970401</startdate><enddate>19970401</enddate><creator>Semmel, Ralph D</creator><creator>Immer, Elisabeth A</creator><creator>Silberberg, David P</creator><creator>Winkler, Robert P</creator><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>19970401</creationdate><title>Knowledge-based query formulation for integrated information systems</title><author>Semmel, Ralph D ; Immer, Elisabeth A ; Silberberg, David P ; Winkler, Robert P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p184t-7c76cdd50152aaf3e2912d08d2ab0b0cb1a157a7f0801737ad9dceddb7a3e1df3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1997</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Semmel, Ralph D</creatorcontrib><creatorcontrib>Immer, Elisabeth A</creatorcontrib><creatorcontrib>Silberberg, David P</creatorcontrib><creatorcontrib>Winkler, Robert P</creatorcontrib><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Johns Hopkins APL technical digest</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Semmel, Ralph D</au><au>Immer, Elisabeth A</au><au>Silberberg, David P</au><au>Winkler, Robert P</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Knowledge-based query formulation for integrated information systems</atitle><jtitle>Johns Hopkins APL technical digest</jtitle><date>1997-04-01</date><risdate>1997</risdate><volume>18</volume><issue>2</issue><spage>261</spage><epage>270</epage><pages>261-270</pages><issn>0270-5214</issn><abstract>The U.S. Army, like many large organizations, relies upon heterogeneous and distributed information systems for managing massive quantities of data. Formulating queries within these systems has been difficult because of the underlying structural complexity of the associated databases. Formulating queries across these systems has been impossible because of the additional lack of integration and interoperability. The Applied Physics Laboratory is collaborating with the U.S. Army Research Laboratory to develop advanced capabilities to support automated query formulation, conceptual modeling, and systems integration. In addition, a framework based on intelligent agents and distributed objects has been developed that will facilitate the fusing of new and legacy systems, interoperability, and the creation of intelligent interfaces. (Author)</abstract><tpages>10</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0270-5214
ispartof Johns Hopkins APL technical digest, 1997-04, Vol.18 (2), p.261-270
issn 0270-5214
language eng
recordid cdi_proquest_miscellaneous_26555382
source Freely Accessible Journals
title Knowledge-based query formulation for integrated information systems
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T02%3A54%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Knowledge-based%20query%20formulation%20for%20integrated%20information%20systems&rft.jtitle=Johns%20Hopkins%20APL%20technical%20digest&rft.au=Semmel,%20Ralph%20D&rft.date=1997-04-01&rft.volume=18&rft.issue=2&rft.spage=261&rft.epage=270&rft.pages=261-270&rft.issn=0270-5214&rft_id=info:doi/&rft_dat=%3Cproquest%3E26555382%3C/proquest%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-p184t-7c76cdd50152aaf3e2912d08d2ab0b0cb1a157a7f0801737ad9dceddb7a3e1df3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=26555382&rft_id=info:pmid/&rfr_iscdi=true