Transcript
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New Age Navigation:
Gerry McKiernanScience and Technology Librarian and Bibliographer
Iowa State University Library
Ames, Iowa
gerrymck@iastate.edu
http://www.public.iastate.edu/~gerrymck/NewAge.ppt
Innovative e-Journal Interfaces
http://www.public.iastate.edu/~gerrymck/NewAge.ppthttp://www.public.iastate.edu/~gerrymck/NewAge.ppthttp://f/wwwroot/LeadershipSummit/pt-lobos.parks.state.ca.us/8/2/2019 Innovative e-Journal Interfaces
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Internet Librarian 2003The Internet Conference & Exhibition for Librarians & Information Managers
Track C: E-Resources & Digital Libraries
November 3, 2003| C103 | 2:00 2:45 PM |
Monterey Convention Center
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THANK YOU!Jane Dysart
Dysart & JonesToronto, Canada
***
Jim Cole
Iowa State University Library
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THANK YOU! Javed Mostafa, Victor H. Yngve Associate Professor of
Information Science and Associate Professor of Informatics,Indiana University, Bloomington
D-Lib Magazine and the Corporation for NationalResearch Initiatives (CNRI)
Soizick Lesteven, Computer Engineer, Centre de DonnesAstronomiques de Strasbourg (CDS)
Jack Sack, Director HighWire Press, Stanford University; Yangkie Kwee, Project Manager, MediaLab, B.V., the
Netherlands
Pacific Northwest National Laboratory(PNNL)
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DISCLAIMER (1)
The screen prints selected for this
presentation are for educationalpurposes, and their inclusion doesnot constitute an endorsement of
an associated person, product,service, or institution.
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DISCLAIMER (2)
The views and opinions expressed
in this presentation are those ofthe presenter and do not
constitute an endorsement by
Iowa State University or itsLibrary.
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Computer Interfaces
From the user's perspective
it is still difficult to use currentinformation retrieval systems.
Junliag Zhang, Javed Mostafa, and Himansu Tripathy, Information Retrieval by Semantic
Analysis and Visualization of the Concept Space ofD-Lib Magazine,
D-Lib Magazine 8 no, 10 (October2002).
http://www.dlib.org/dlib/october02/zhang/10zhang.html
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Where is the wisdomwe have lost inknowledge?
Where is theknowledge that wehave lost ininformation?"
T.S. Eliot
The Rock (Pt. 1) (1934)
http://www.cofc.edu/~betwill/Lib105/TSEliot.htmlhttp://www.cofc.edu/~betwill/Lib105/TSEliot.htmlhttp://www.camdenfamily.com/thunder/http://www.cofc.edu/~betwill/Lib105/TSEliot.htmlhttp://www.cofc.edu/~betwill/Lib105/TSEliot.htmlhttp://www.cofc.edu/~betwill/Lib105/TSEliot.html8/2/2019 Innovative e-Journal Interfaces
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New Age Navigation:
Innovative e-Journal Interfaces Concept Space/D-Lib Magazine
Astronomy and Astrophysics Self-Organized Map Index/Centre deDonnes Astronomiques deStrasbourg
TopicMap/High Wire Press
AquaBrowser/Utrecht University
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Concept Space
D-Lib Magazine
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D-Lib Magazine D-Lib Magazine (www.dlib.org) is a magazine
about digital library issues for researchers,developers, and the intellectually curious
produced by the Corporation for NationalResearch Initiatives.
It has no print analogue, nor has one beenproposed. [B]y testing the limits of writing in
and for a wholly networked environment,the magazine itself was viewed from the onsetas an experiment in electronic publishing.
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D-Lib Magazine D-Lib Magazine recently published a review article
that describes an innovative index to the magazine itself.
Using the full-text corpus of the magazine, its authors
document, illustrate, and demonstrate throughhypertext linking, experimental digital technologies that
seek to provide users with a better understanding of
online document collections and to reduce the cognitive
load associated with conventional search options indigital collections.
Junliag Zhang, Javed Mostafa, and Himansu Tripathy, Information Retrieval by Semantic
Analysis and Visualization of the Concept Space ofD-Lib Magazine,
D-Lib Magazine 8 no, 10 (October2002).
http://www.dlib.org/dlib/october02/zhang/10zhang.html
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Concept Space
As an alternative to current conventional
information systems, the researchers have
developed a method that automatically
generates the terms and their semanticrelationships representing relevant topics
covered in the corpus of a digital collection.
The generated terms are called concepts, andthe generated terms and their semantic
relationships are called the Concept Space.
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Concept Space
Concepts are discovered using an algorithmbased on an automated thesaurus generationprocedure.
The concept space is visualized in a 2-D visualrepresentation that roughly shows thesemantic relationships among concepts.
Concept nodes are labeled with the conceptname by default.
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Concept Space
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Concept Space
All the nodes are color-coded based on cluster
analysis, with distinctive colors used for
different clusters of concepts.
In the visualization, similar concepts are
generally close to each other in the physical
space; for example, copyright is near
permission.
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Concept Space
Copyright
Permission
Law
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Concept Space An alternative visualization displays the relative
percentage of documents associated with each concept intheD-Lib Magazine by use of shade coding.
For example, concepts with fewer than 10% related
articles are shown in white, while concepts that appearin more than 30% of the articles are shown as graynodes; concepts that occur in more than 50% of thearticles are shown in black.
With this visualization, users can thus quicklydetermine, for example, that the concepts disseminate,interoperability and query are discussed morefrequently than are doi,elib, and ncstrl.
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Concept Space
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Concept Space The interface allows the user to conduct searches on
the collection by selecting labeled concepts directlyfrom the visualization or by inputting specific termsor phrases.
Users can select as many concepts as desired fromthe visualization and construct appropriate Booleanstatements by selecting the appropriate operation(AND or OR) in the search box panel.
Keywords can be combined with concept labelterms in a query.
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Concept Space
When the search button is clicked, the search results
are displayed in a separate browser, and include the
article title, author(s), and volume and issue number
(if assigned) for each relevant document. By clicking the hyperlinked phrase (Full text)
found as the last field for each entry in the results
listing, the associated full-text item is displayed.
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Concept Space
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Concept Space
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Astronomy and Astrophysics
Self-Organized Map Index
Astronomy and Astrophysics
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Astronomy and Astrophysics
Self-Organized Map Index
The Centre de Donnes Astronomiques de Strasbourg(CDS) (cdsweb.u-strasbg.fr) is an International Serviceunder the Federation of Astronomical and GeophysicalData Analysis Services (FAGS) that collects,
homogenizes, distributes and preserves astronomicalinformation.
The main CDS services include:
SIMBAD (simbad.u-strasbg.fr/sim-fid.pl), a reference
database for the identification and bibliography ofastronomical objects outside the solar system
VizieR (vizier.u-strasbg.fr/viz-bin/VizieR), a searchportal to more than astronomical catalogs andpublished tables.
http://cdsweb.u-strasbg.fr/http://simbad.u-strasbg.fr/sim-fid.plhttp://vizier.u-strasbg.fr/viz-bin/VizieRhttp://vizier.u-strasbg.fr/viz-bin/VizieRhttp://vizier.u-strasbg.fr/viz-bin/VizieRhttp://vizier.u-strasbg.fr/viz-bin/VizieRhttp://vizier.u-strasbg.fr/viz-bin/VizieRhttp://vizier.u-strasbg.fr/viz-bin/VizieRhttp://vizier.u-strasbg.fr/viz-bin/VizieRhttp://vizier.u-strasbg.fr/viz-bin/VizieRhttp://vizier.u-strasbg.fr/viz-bin/VizieRhttp://vizier.u-strasbg.fr/viz-bin/VizieRhttp://simbad.u-strasbg.fr/sim-fid.plhttp://simbad.u-strasbg.fr/sim-fid.plhttp://simbad.u-strasbg.fr/sim-fid.plhttp://simbad.u-strasbg.fr/sim-fid.plhttp://simbad.u-strasbg.fr/sim-fid.plhttp://simbad.u-strasbg.fr/sim-fid.plhttp://simbad.u-strasbg.fr/sim-fid.plhttp://simbad.u-strasbg.fr/sim-fid.plhttp://simbad.u-strasbg.fr/sim-fid.plhttp://simbad.u-strasbg.fr/sim-fid.plhttp://simbad.u-strasbg.fr/sim-fid.plhttp://cdsweb.u-strasbg.fr/http://cdsweb.u-strasbg.fr/http://cdsweb.u-strasbg.fr/http://cdsweb.u-strasbg.fr/http://cdsweb.u-strasbg.fr/http://cdsweb.u-strasbg.fr/http://cdsweb.u-strasbg.fr/8/2/2019 Innovative e-Journal Interfaces
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Astronomy and Astrophysics
Self-Organized Map Index
CDS is also actively involved in the development ofbibliographic information retrieval tools, notablyvisualized indexes to digital collections. A premierexample of this tool is the document map
developed for Astronomy and Astrophysics(simbad.u-strasbg.fr/A+A/map.pl).
The document map is created using the KohonenSelf Organizing Map (SOM), an algorithm thatautomatically organizes documents into a two-dimensional grid so that related documents appearclose to each other and general topics appear in welldefined areas.
http://simbad.u-strasbg.fr/A+A/map.plhttp://simbad.u-strasbg.fr/A+A/map.plhttp://simbad.u-strasbg.fr/A+A/map.plhttp://simbad.u-strasbg.fr/A+A/map.plhttp://simbad.u-strasbg.fr/A+A/map.plhttp://simbad.u-strasbg.fr/A+A/map.plhttp://simbad.u-strasbg.fr/A+A/map.plhttp://simbad.u-strasbg.fr/A+A/map.plhttp://simbad.u-strasbg.fr/A+A/map.plhttp://simbad.u-strasbg.fr/A+A/map.pl8/2/2019 Innovative e-Journal Interfaces
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Astronomy and Astrophysics
Self-Organized Map Index
The SOM graphical WWW interface allows the
visualization of the document distribution [and]
shows the localization of documents related to given
topics . The SOM map is presented as a density map,
which represents graphically the areas containing
papers of similar content and the number of
documents in these areas.
Presently the SOM map provides access to more
than 10,300 articles for the period 1994-2002.
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Astronomy and Astrophysics
Self-Organized Map Index
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Astronomy and Astrophysics
Self-Organized Map Index
To use the interface and retrieve relevant articles,users select an appropriate node (e.g., Stars) onthe map; in turn, the keywords associated with thenode are listed in a right-side frame.
An entry indicating the number of documentscontaining any of these selected keywords isdisplayed above the keyword listing in the frame(e.g., Node 103: 6 documents).
Upon retrieving the search results (GetDocuments), entries for those items assigned theselected term or phrase are displayed in the left-sideframe where the SOM map had originally appeared.
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Astronomy and Astrophysics
Self-Organized Map Index
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Astronomy and Astrophysics
Self-Organized Map Index
Upon retrieving the search results (GetDocuments) entries for those items assigned theselected term or phrase are displayed in the left-sideframe where the SOM map had originally appeared.
The full records for all entries may be retrieved byclicking the FetchReferences button at the top ofthe listing.
The user may display the full record for a title (e.g.,Abundances of light elements in metal-poor stars. I.Atmospheric parameters and a new T_eff scale) byselecting its associated hyperlinked bibliographiccode (e.g., 1996A&A...314..191G).
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CDS Bibliographic Service
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NASA ADS Astronomy Abstract Service
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NASA ADS Astronomy Abstract Service
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The NASA Astrophysics Data System AbstractService: Astronomy,
Library Hi Tech News 18 no. 7 (August 2001): 30-38.
Gerry McKiernan
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TopicMap
High Wire Press Journals
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High Wire Press High Wire Press (www.highwire.org) is an
enterprise unit of Stanford University Libraries and
Academic Information Resources committed to
charting new waters as [a co-publisher] of low-cost,graphically rich Internet editions of university and
scholarly society e-journals.
It works with scholarly societies and responsible
publishers to publish, distribute, and archive e-journals, providing a common user interface to its
titles and hyperlinks to relevant Web sources.
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High Wire Press HighWire Press currently provides the
largest archive of free life science articles in
the world.
Access is provided to nearly 600,000 full-text
articles from more than 160 journals without
charge (August 2003).
Nearly 3,000 items are added each month.
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High Wire Press To assist users in identifying potentially
relevant articles on a particular subject,
HighWire Press has organized all e-journal
titles by broad (e.g., Biological Sciences,Medical Sciences, Physical Sciences, and
Social Sciences), and
general topics (e.g., Biological Sciences:Agriculture, Biochemistry, Cell Biology,
etc.).
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HighWire Press Browsing
http://www.highwire.org
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Browse Articles by Topic
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Browse Articles by Topic From within a general topic, users can
subsequently display articles that are
categorized under specific subtopics (e.g., Cell
Physiology, Cellular Structures, CellularTypes, Systems Biology) by selecting a
hyperlinked subtopic of interest.
Within HighWire, articles are also categorized toa very high degree of specificity (e.g., Cell
Biology > Cellular Structures > Mitogens >
Mitogenic Pathway).
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Browse Articles by Topic
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Browse Articles by Topic
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Browse Articles by Topic
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Topic List for Article
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Semio
The topics and subtopics for High Wire Press
articles have been assigned using theSemio
automated categorization software technologyprovided by Entrieva, a leading provider of
information categorization solutions.
http://www.entrieva.com
http://www.entrieva.com/entrieva/downloads/CustomerImplementation_HighwirePress_Entrieva.pdf
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TopicMap
TopicMap
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TopicMap
TopicMap is a special Java applet
designed to assist in navigating topics
in a graphical form. The intent is toprovide a sense of context while
exploring a large, tree-structured
database.
http://www.highwire.org/help/hbt/
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TopicMap
TopicMap is based on the Hyperbolic
Tree SDK for Java, licensed from
Inxight Software, Inc., a spin-off
company from Xerox PARC, and
leading provider of Unstructured Data
Management solutions for accessing,analyzing and delivering information.
http://www.inxight.com
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TopicMap
CELL BIOLOGY
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TopicMap
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TopicMap
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AquaBrowser
Utrecht University, The Netherlands
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Utrecht University
Established in 1636, Utrecht University is one ofthe oldest universities in Europe, recently
commemorating the 365th anniversary of its
founding. It currently offers the widest range of
courses of any university in the Netherlands, withmore than 14 faculties and 70 degree courses.
In 2001, it had an enrollment of more than 22,400
students, with more than 3,100 enrolled in theFaculty of Medicine alone, and nearly 5,000
enrolled in the Sciences.
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AquaBrowser To demonstrate enhanced access to select
electronic resources offered by Utrecht
University, MediaLab (www.medialab.nl),
a Dutch firm specializing in knowledgemining and creation of intelligent
Intranet and Internet sites, has applied its
AquaBrowser technology to select
electronic medical information resources
made available by the university library.
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AquaBrowser There are several components to the
AquaBrowser system, including various toolsthat gather, analyze, and create linkages from arange of electronic sources (e.g., databases, Web
sites, CD-ROMs, etc.). Liquid Filters extracts information from
various sources and transfers it to the LiquidKnowledge Builder. The source material itself is
cached in the IGORdatabase . The knowledge builder analyses all the
information extracted by the filters. Anintegrated dictionary is utilized in the analysis.
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IGOR (1)
IGOR is theAquaBrowser black box. Amongits components and functionalities are:
a free text search engine (a searchable index of all
the words in a corpus)
rankers (rankers provide fuzzy answers to
specific questions)
a co-occurrence generator (this generator
analyses texts from source databases and createsstatistical and semantic relations between
constituent terms and phrases)
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IGOR (2)
a translation unit (the translation componentprovides automatic translations of queries and
keywords into other languages, specific jargon,
archaic dialects, or technical phrases)
a fuzzy alternative generator (this generator
creates correct and incorrect variations of terms
and phrases)
stemmers (stemmers isolate the semantic stem ofa term facilitating a search for synonyms and
variants).
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Liquid Context Builder The Liquid Context Builder is the systems top
layer that enriches the users queries and keep
track of all the steps in the search [process].
In addition, the context builder produces the list
of results and the cloud of associations that lead
the way to more relevant information along
different routes. Upon execution of a search, the
cloud of associations and portions of the recordsare displayed in theAquaBrowser.
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Cloud of Associations
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Cloud of Associations The AquaBrowserinterface offers a graphical
depiction of search results and associations thatallow the user to search, browse, and follow thecloud of associations generated initially from
target sources or from a specific query (e.g.,hypertension).
The cloud of associations contains associationsas well as synonyms, translations, spelling
variations, and typographical errors. Uponselecting an entry from results listing displayed ina left-side frame, the associated document isdisplayed in a right-hand frame.
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Cloud of Associations
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ThemeViewTM
Pacific Northwest National Laboratory
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Information Visualization
Information visualization may be defined as theuse of computer-supported interactive visualrepresentation of abstract data to amplifycognition. Its purpose is not the pictures themselves,
but insight . Information visualization is part of the new media
made possible by the development of the real-timevisual computer.
Succinctly stated, information visualization is ahighly efficient way for the mind to directlyperceive data and discover knowledge and insightfrom it.
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Pacific Northwest National Laboratory
One of the major research centers in the United Statesinvolved with the development and application of
information visualization technologies is the Pacific
Northwest National Laboratory (PNNL) based in
Richland, Washington.
Among its notable projects isSPIRE- the Spatial
Paradigm for Information and Exploration, a suite of
information visualization tools intended to help usersexplore a large number of textual documents with an
intuitive spatial metaphor. Of the varied SPIRE
technologies, Galaxies and ThemeVieware
particularly noteworthy.
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Galaxies
The Galaxiesvisualization uses the image ofstars in the night sky to represent a set ofdocuments.
In this visualization, each document is
represented by a single docustar. Documentsthat are closely related cluster together, whileunrelated documents are separated by largedistances. In Galaxies, several analytical toolsare provided that allow users to investigatedocument groupings, query the documentcontents, and investigate time-based trends.
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Galaxies
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ThemeView In the ThemeView visualization (formerly
ThemeScape)the topics or themes within aset of documents are shown as a relief map ofnatural terrain.
The mountains in the ThemeViewindicatedominant themes. The height of the peaksindicates the relative strengths of the topics inthe document set. Similar themes appear closetogether, while unrelated themes are separatedby larger distances.
ThemeViewprovides a visual overview of the
major topics contained in a set of documents.
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ThemeView
Concisely described, a ThemeViewvisualization is a 3-D feature map that shows
where major concepts and themes are located
in a database. Through a simple image, ThemeView
visualizations can summarize the contents of
an entire database, identify where majorconcepts are located, and detail the
interrelationships between them.
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ThemeView
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The Future is Now (1)
Although only a select number of electronic journalcollections currently offer innovative and novelinterfaces, one can expect that such enhancementswill soon become commonplace as digital collections
become larger and more complex, and the need foradvanced navigation features and functionalitiesbecomes more widely recognized.
Likewise, as computer processing and
communication technologies continue to improve,one can predict that two-dimensional visualized e-
journal interfaces in time will be superseded bythree-dimensional interfaces.
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The Future is Now (2)
One could envision, for example, the next-generation HighWire Press TopicMap as aTopicLandscape.
In such a ThemeViewtransformation, broad and
general topics and lower-level subtopics would bepresented as labeled peaks, plateaus, and valleys,permitting a user to readily identify and navigatethe dominant and subordinate themes for an entire
digital corpus, or one of its sectors.Within this digital landscape, a user could easilybrowse related topics or directly retrieve documentsof interest, at any level.
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New Age Navigation:
Innovative Information Interfaces
for Electronic Journals
Gerry McKiernanThe Serials Librarian 45 (2) (2003): 87-123.
http://www.public.iastate.edu/~gerrymck/NewAge.pdfhttp://www.public.iastate.edu/~gerrymck/NewAge.pdfhttp://www.public.iastate.edu/~gerrymck/NewAge.pdfhttp://www.public.iastate.edu/~gerrymck/NewAge.pdfhttp://www.public.iastate.edu/~gerrymck/NewAge.pdfhttp://www.public.iastate.edu/~gerrymck/NewAge.pdfhttp://www.public.iastate.edu/~gerrymck/NewAge.pdf8/2/2019 Innovative e-Journal Interfaces
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Postscript
RefVizhttp://www.omniviz.com/
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RefViz RefViz is a text analysis and visualization
software designed to analyze, organize, andfacilitate the comprehension of the hugeamounts of literature available to students and
professional researchers today. InRefViz, references are organized by
thematic content and presented in interactivevisualizations that allow the [user] to
rapidly identify major theme and focus onareas of interest. It can be used to createoverviews of most literature search resultsfrom popular databases.
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RefViz
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THANK YOU FOR YOUR
ATTENTION!
ABRIDGED VERSION 1.2|| 11-11-03 || 13:30 ||
|| 10-26-03 || 12:15 ||
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