Search (20 results, page 1 of 1)

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Abstract

This book constitutes the refereed proceedings of the 7th European Conference on Research and Advanced Technology for Digital Libraries, ECDL 2003, held in Trondheim, Norway in August 2003. The 39 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 161 submissions. The papers are organized in topical sections on uses, users, and user interfaces; metadata applications; annotation and recommendation; automatic classification and indexing; Web technologies; topical crawling and subject gateways; architectures and systems; knowledge organization; collection building and management; information retrieval; digital preservation; and indexing and searching of special documents and collection information.

Classification

ZA4080 .E28 2003
SS 2003

LCC

ZA4080 .E28 2003

RSWK

Elektronische Bibliothek / Multimedia / Information Retrieval / Kongress / Trondheim <2003>
World Wide Web / Elektronische Bibliothek / Information Retrieval / Kongress / Trondheim <2003>

RVK

SS 2003

Subject

Elektronische Bibliothek / Multimedia / Information Retrieval / Kongress / Trondheim <2003>
World Wide Web / Elektronische Bibliothek / Information Retrieval / Kongress / Trondheim <2003>

Year

2003

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Year

2003

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Date

1. 8.1996 22:08:06

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Date

1. 8.1996 22:08:06

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1. 8.1996 22:08:06

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2003

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22. 3.2008 12:21:28

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Date

25. 2.1997 10:22:02

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1. 8.1996 22:08:06

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22.10.2006 18:22:51

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25. 2.1997 10:22:02

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22. 2.1999 12:27:31

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Footnote

Rez. in: nfd - Information 54(2003) H.6, S.378-379 (T. Mandl): "Im Oktober 2001 fand erstmals eine Tagung mit dem Titel "Web Intelligence" statt. Ist dies nun eine neue Disziplin oder der Versuch analog zu "Artificial Intelligence" und "Computational Intelligence" ein neues Modewort zu kreieren? Geht es um den Einsatz sogenannter intelligenter Verfahren, um mit dem Internet umgehen zu können oder erscheint das Internet als "emerging global brain" (Goertzel 2002), also als eine unerschöpfliche Quelle von Wissen, die nur geschickt ausgebeutet werden muss? Kommt also die Intelligenz aus dem Web oder dient die Intelligenz als Werkzeug für das Web? Der Tagungsband ist seit Anfang 2003 verfügbar und bietet nun den Anlass, diesen Begriff anhand der darin präsentierten Inhalte zu bewerten. Die Herausgeber führen in ihrem einleitenden Artikel gleich die Abkürzung WI ein und versuchen tatsächlich "Web Intelligence" als neue Sub-Disziplin der Informatik zu etablieren. Zu diesem Zweck greifen sie auch auf die Anzahl der Nachweise für diese Phrase in Suchmaschinen zu. Zwar lieferten die Systeme angeblich Zahlen von über einer Million (S. 4), aber dies überzeugt sicher noch niemanden, das Studium der WI aufzunehmen. Allerdings weist dieses Vorgehen schon auf einen Kern der WI hin: man versucht, aus dem im Web gespeicherten Wissen neues Wissen zu generieren. Damit wäre man sehr nahe am Data oder eben Web-Mining, jedoch geht die Definition der Autoren darüber hinaus. Sie wollen WI verstanden wissen als die Anwendung von Künstlicher Intelligenz sowie Informationstechnologie im Internet (S. 2). Da nun Künstliche Intelligenz bei allen Meinungsverschiedenheiten sicherlich nicht ohne Informationstechnologie denkbar ist, wirkt die Definition nicht ganz überzeugend. Allerdings beschwichtigen die Autoren im gleichen Atemzug und versichern, diese Definition solle ohnehin keine Forschungsrichtung ausschließen. Somit bietet sich eher eine Umfangsdefinition an. Diese solle die wichtigsten Stoßrichtungen des Buchs und damit auch der Tagung umfassen. Als Ausgangspunkt dient dazu auch eine Liste der Herausgeber (S. 7f.), die hier aber etwas modifiziert wird: - Grundlagen von Web Informationssystemen (Protokolle, Technologien, Standards) - Web Information Retrieval, WebMining und Farming - Informationsmanagement unter WebBedingungen - Mensch-Maschine Interaktion unter Web-Bedingungen (hier "HumanMedia Engineering" S. XII) Eine grobe Einteilung wie diese ist zwar übersichtlich, führt aber zwangsläufig zu Ouerschnittsthemen. In diesem Fall zählt dazu das Semantic Web, an dem momentan sehr intensiv geforscht wird. Das Semantic Web will das Unbehagen mit der Anarchie im Netz und daraus folgenden Problemen für die Suchmaschinen überwinden, indem das gesamte Wissen im Web auch explizit als solches gekennzeichnet wird. Tauchen auf einer WebSeite zwei Namen auf und einer ist der des Autors und der andere der eines Sponsors, so erlauben neue Technologien, diese auch als solche zu bezeichnen. Noch wichtiger, wie in einer Datenbank sollen nun Abfragen möglich sein, welche andere Seiten aus dem Web liefen, die z.B. den gleichen Sponsor, aber einen anderen Autor haben. Dieser Thematik widmen sich etwa Hendler & Feigenbaum. Das Semantic Web stellt ein Ouerschnittsthema dar, da dafür neue Technologien (Mizoguchi) und ein neuartiges Informationsmanagement erforderlich sind (z.B. Stuckenschmidt & van Harmelen), die Suchverfahren angepasst werden und natürlich auch auf die Benutzer neue Herausforderungen zukommen. Diesem Aspekt, inwieweit Benutzer solche Anfragen überhaupt stellen werden, widmet sich in diesem Band übrigens niemand ernsthaft. Im Folgenden sollen die einzelnen Themengebiete anhand der im Band enthaltenen Inhalte näher bestimmt werden, bevor abschließend der Versuch eines Resümees erfolgt.
Einen weiteren wichtigen Aspekt stellt nach wie vor E-Learning dar, das u.a. neue Anforderungen an die Erstellung und Verwaltung von Lernmodulen (Forcheri et al.) und die Zusammenarbeit von Lehrern und Schülern stellt (Hazeyama et al., Liu et al.). - Mensch-Maschine Interaktion unter Web-Bedingungen Benutzermodellierung (Estivill-Castro & Yang, Lee, Sung & Cho) hat mit der Popularität des Internet eine neue Dimension gewonnen und ist besonders im kommerziellen Umfeld sehr interessant. Eine Wissensquelle hierfür und für andere Anwendungen sind Log-Files (Yang et al.). Breiten Raum nehmen die Visualisierungen ein, die häufig für spezielle Benutzergruppen gedacht sind, wie etwa Data Mining Spezialisten (Han & Cercone) und Soziologen, die sich mit Web-Communities befassen (Sumi & Mase). Agenten (Lee) und Assistenten (Molina) als neue Formen der Interaktion treten nicht zuletzt für E-Commerce Anwendungen in Erscheinung. In diesem Kontext der Mensch-Medien-Beziehung soll das Ouerschnittsthema WebCommunities genannt werden, in dem die sozialen Aspekte der Kooperation (Hazeyama et al.) ebenso wie das Entdecken von Gruppenstrukturen (Bun & Ishizuka) untersucht werden. Dagegen kommen kaum empirische Evaluierungen vor, die belegen könnten, wie intelligent denn die Systeme nun sind. Worin liegt nun der Kern der Web Intelligence? Der Aspekt Web Mining befasst sich mit der Extraktion von Wissen aus dem riesigen Reservoir Internet während der Aspekt Web-Informationssysteme den Einsatz so genannter intelligenter Technologien in Informationssystemen im Internet behandelt. Da jedoch das Spektrum der eingesetzten Informationssysteme praktisch beliebig ist und auch die Auswahl der intelligenten Technologien keinen spezifischen Fokus erkennen lässt, stellt Web Intelligence momentan eher einen bunten Strauß dar als ein klar abgegrenztes Feld. Das Web taugt inzwischen kaum mehr zur Abgrenzung von Technologien. Die Beiträge sind stärker von den Communities der Autoren geprägt als von der Web Intelligence Community, die vielleicht noch gar nicht existiert. Wenn doch, so befindet sie sich in einem frühen Stadium, in dem sich wenig Gemeinsamkeiten zwischen den Arbeiten erkennen lassen. Allerdings macht die mangelnde Kohärenz die einzelnen Beiträge keineswegs uninteressant. Dieser Meinung sind offensichtlich auch die 57 Mitglieder des Programmkomitees der Tagung, unter denen auch drei deutsche Wissenschaftler sind. Denn für 2003 ist eine weitere Tagung geplant (http://www.comp.hkbu. edu.hk/WIo3/)."

Year

2003

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Footnote

Rez. in: JASIST 55(2004) no.1, S.90-91 (N. Rhodes): "The recent near-exponential increase in XML-based technologies has exposed a gap between these technologies and those that are concerned with more fundamental data management issues. This very comprehensive and well-organized book has quite neatly filled the gap, thus achieving most of its stated intentions. The target audiences are database and XML professionals wishing to combine XML with modern database technologies and such is the breadth of scope of this book (hat few would not find it useful in some way. The editors have assembled a collection of chapters from a wide selection of industry heavyweights and as with most books of this type, it exhibits many disparate styles but thanks to careful editing it reads well as a cohesive whole. Certain sections have already appeared in print elsewhere and there is a deal of corporate flag-waving but nowhere does it become over-intrusive. The preface provides only the very brietest of introductions to XML but instead sets the tone for the remainder of the book. The twin terms of data- and document-centric XML (Bourret, 2003) that have achieved so much recent currency are re-iterated before XML data management issues are considered. lt is here that the book's aims are stated, mostly concerned with the approaches and features of the various available XML data management solutions. Not surprisingly, in a specialized book such as this one an introduction to XML consists of a single chapter. For issues such as syntax, DTDs and XML Schemas the reader is referred elsewhere, here, Chris Brandin provides a practical guide to achieving good grammar and style and argues convincingly for the use of XML as an information-modeling tool. Using a well-chosen and simple example, a practical guide to modeling information is developed, replete with examples of the pitfalls. This brief but illuminating chapter (incidentally available as a "taster" from the publisher's web site) notes that one of the most promising aspects of XML is that applications can be built to use a single mutable information model, obviating the need to change the application code but that good XML design is the basis of such mutability.
There is some debate over what exactly constitutes a native XML database. Bourret (2003) favors the wider definition; other authors such as the Butler Group (2002) restrict the use of the term to databases systems designed and built solely for storage and manipulation of XML. Two examples of the lauer (Tamino and eXist) are covered in detailed chapters here but also included in this section is the embedded XML database system, Berkeley DB XML, considered by makers Sleepycat Software to be "native" in that it is capable of storing XML natively but built an top of the Berkeley DB engine. To the uninitiated, the revelation that schemas and DTDs are not required by either Tamino or eXist might seem a little strange. Tamino implements "loose coupling" where the validation behavior can be set to "strict," "lax" (i.e., apply only to parts of a document) or "skip" (no checking), in eXist, schemas are simply optional. Many DTDs and schemas evolve as the XML documents are acquired and so these may adhere to slightly different schemas, thus the database should support queries an similar documents that do not share the same structune. In fact, because of the difficulties in mappings between XML and database (especially relational) schemas native XML databases are very useful for storage of semi-structured data, a point not made in either chapter. The chapter an embedded databases represents a "third way," being neither native nor of the XML-enabled relational type. These databases run inside purpose-written applications and are accessed via an API or similar, meaning that the application developer does not need to access database files at the operating system level but can rely an supplied routines to, for example, fetch and update database records. Thus, end-users do not use the databases directly; the applications do not usually include ad hoc end-user query tools. This property renders embedded databases unsuitable for a large number of situations and they have become very much a niche market but this market is growing rapidly. Embedded databases share an address space with the application so the overhead of calls to the server is reduced, they also confer advantages in that they are easier to deploy, manage and administer compared to a conventional client-server solution. This chapter is a very good introduction to the subject, primers an generic embedded databases and embedded XML databases are helpfully provided before the author moves to an overview of the Open Source Berkeley system. Building an embedded database application makes far greater demands an the software developer and the remainder of the chapter is devoted to consideration of these programming issues.

Year

2003

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Classification

Z674.75.I58N47 2003

LCC

Z674.75.I58N47 2003

Year

2003

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Footnote

Referate und Materialien der Veranstaltungen: 'Internet in Öffentlichen Bibliotheken II, 25.-27.6.1998, Germershausen bei Göttingen' und 'Neue Informationstechnologien in der Fachstellenarbeit, 22.-24.6.1998, Nürnberg'

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Series

Cataloging and classification quarterly; vol.22, nos.3/4

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Classification

303.48/33 22 (LoC)

DDC

303.48/33 22 (LoC)