No zero match browsing of hierarchically categorized information entities
The two main ways to search for information in electronic document collections are by using free-text retrieval search engines or browsing information that has been organized into predefined organizational structures. However, each of these approaches has limitations. Using word or phrase search, us...
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Veröffentlicht in: | AI EDAM 2002-06, Vol.16 (3), p.243-257 |
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creator | McMAHON, CHRIS CROSSLAND, ROSE LOWE, ALISTAIR SHAH, TULAN WILLIAMS, JON SIMS CULLEY, STEVE |
description | The two main ways to search for information in electronic document
collections are by using free-text retrieval search engines
or browsing information that has been organized into predefined
organizational structures. However, each of these approaches
has limitations. Using word or phrase search, users are faced
with a compromise between overly broad searches returning an
excessive amount of information or overly narrow searches that
may fail to return relevant information. Browsing organizational
structures is dependent on the user's knowledge of the
structures, and a user may find it difficult to refine searches.
This paper introduces a user interface based approach to the
browsing of hierarchically organized information entities that
avoids these problems by allowing the incremental narrowing
down of a set of search results and by pruning the organizational
structure after each user selection to show the consequences
of the selection. The effect is to present to the user at all
times only that part of the organizational structure that will
lead to a nonnull selection. The approach is called no zero
match (NZM) browsing. The paper presents the computational basis
of NZM browsing before describing a trial implementation of
the approach and presenting three case studies, which represent
common search situations in an engineering context. |
doi_str_mv | 10.1017/S0890060402163098 |
format | Article |
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collections are by using free-text retrieval search engines
or browsing information that has been organized into predefined
organizational structures. However, each of these approaches
has limitations. Using word or phrase search, users are faced
with a compromise between overly broad searches returning an
excessive amount of information or overly narrow searches that
may fail to return relevant information. Browsing organizational
structures is dependent on the user's knowledge of the
structures, and a user may find it difficult to refine searches.
This paper introduces a user interface based approach to the
browsing of hierarchically organized information entities that
avoids these problems by allowing the incremental narrowing
down of a set of search results and by pruning the organizational
structure after each user selection to show the consequences
of the selection. The effect is to present to the user at all
times only that part of the organizational structure that will
lead to a nonnull selection. The approach is called no zero
match (NZM) browsing. The paper presents the computational basis
of NZM browsing before describing a trial implementation of
the approach and presenting three case studies, which represent
common search situations in an engineering context.</description><identifier>ISSN: 0890-0604</identifier><identifier>EISSN: 1469-1760</identifier><identifier>DOI: 10.1017/S0890060402163098</identifier><language>eng</language><publisher>New York, USA: Cambridge University Press</publisher><subject>Engineering Document Management ; Hierarchical Classification ; Information Retrieval ; User Interface</subject><ispartof>AI EDAM, 2002-06, Vol.16 (3), p.243-257</ispartof><rights>2002 Cambridge University Press</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c383t-af4f9b1237777e10b2bc3e911a6fc31eab53a65253a313f83093116997a2783a3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S0890060402163098/type/journal_article$$EHTML$$P50$$Gcambridge$$H</linktohtml><link.rule.ids>164,314,778,782,27911,27912,55615</link.rule.ids></links><search><creatorcontrib>McMAHON, CHRIS</creatorcontrib><creatorcontrib>CROSSLAND, ROSE</creatorcontrib><creatorcontrib>LOWE, ALISTAIR</creatorcontrib><creatorcontrib>SHAH, TULAN</creatorcontrib><creatorcontrib>WILLIAMS, JON SIMS</creatorcontrib><creatorcontrib>CULLEY, STEVE</creatorcontrib><title>No zero match browsing of hierarchically categorized information entities</title><title>AI EDAM</title><addtitle>AIEDAM</addtitle><description>The two main ways to search for information in electronic document
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or browsing information that has been organized into predefined
organizational structures. However, each of these approaches
has limitations. Using word or phrase search, users are faced
with a compromise between overly broad searches returning an
excessive amount of information or overly narrow searches that
may fail to return relevant information. Browsing organizational
structures is dependent on the user's knowledge of the
structures, and a user may find it difficult to refine searches.
This paper introduces a user interface based approach to the
browsing of hierarchically organized information entities that
avoids these problems by allowing the incremental narrowing
down of a set of search results and by pruning the organizational
structure after each user selection to show the consequences
of the selection. The effect is to present to the user at all
times only that part of the organizational structure that will
lead to a nonnull selection. The approach is called no zero
match (NZM) browsing. The paper presents the computational basis
of NZM browsing before describing a trial implementation of
the approach and presenting three case studies, which represent
common search situations in an engineering context.</description><subject>Engineering Document Management</subject><subject>Hierarchical Classification</subject><subject>Information Retrieval</subject><subject>User Interface</subject><issn>0890-0604</issn><issn>1469-1760</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kE1PwzAMhiMEEmPwA7hVHLgV4qZNkyOaYAxNQ3xeozRLt4y2GUkn2H49qTYhBMIHW4qf169jhE4BXwCG_PIJM44xxSlOgBLM2R7qQUp5DDnF-6jXteOuf4iOvF_gEDxLe2g0sdFGOxvVslXzqHD2w5tmFtkymhvtpFNzo2RVrSMlWz2zzmz0NDJNaV1QGNtEumlNa7Q_RgelrLw-2dU-erm5fh7cxuP74WhwNY4VYaSNZZmWvICE5CE04CIpFNEcQNJSEdCyyIikWRIyAVKy8BcCQDnPZZKz8NhH59u5S2ffV9q3ojZe6aqSjbYrL5KcEkhSHMCzX-DCrlwTdhPAMxbsExYg2ELKWe-dLsXSmVq6tQAsusuKP5cNmnirMb7Vn98C6d4EzUmeCTp8EINHdjd4mLyKjic7D1kXzkxn-scm_7p8ASpuiMY</recordid><startdate>200206</startdate><enddate>200206</enddate><creator>McMAHON, CHRIS</creator><creator>CROSSLAND, ROSE</creator><creator>LOWE, ALISTAIR</creator><creator>SHAH, TULAN</creator><creator>WILLIAMS, JON SIMS</creator><creator>CULLEY, STEVE</creator><general>Cambridge University Press</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7TB</scope><scope>7XB</scope><scope>88I</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>KR7</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>M2P</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>S0W</scope></search><sort><creationdate>200206</creationdate><title>No zero match browsing of hierarchically categorized information entities</title><author>McMAHON, CHRIS ; 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collections are by using free-text retrieval search engines
or browsing information that has been organized into predefined
organizational structures. However, each of these approaches
has limitations. Using word or phrase search, users are faced
with a compromise between overly broad searches returning an
excessive amount of information or overly narrow searches that
may fail to return relevant information. Browsing organizational
structures is dependent on the user's knowledge of the
structures, and a user may find it difficult to refine searches.
This paper introduces a user interface based approach to the
browsing of hierarchically organized information entities that
avoids these problems by allowing the incremental narrowing
down of a set of search results and by pruning the organizational
structure after each user selection to show the consequences
of the selection. The effect is to present to the user at all
times only that part of the organizational structure that will
lead to a nonnull selection. The approach is called no zero
match (NZM) browsing. The paper presents the computational basis
of NZM browsing before describing a trial implementation of
the approach and presenting three case studies, which represent
common search situations in an engineering context.</abstract><cop>New York, USA</cop><pub>Cambridge University Press</pub><doi>10.1017/S0890060402163098</doi><tpages>15</tpages></addata></record> |
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issn | 0890-0604 1469-1760 |
language | eng |
recordid | cdi_proquest_miscellaneous_27631240 |
source | Cambridge University Press Journals Complete |
subjects | Engineering Document Management Hierarchical Classification Information Retrieval User Interface |
title | No zero match browsing of hierarchically categorized information entities |
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