Search (14 results, page 1 of 1)

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Abstract

The author systematically introduces the notion of ontologies to the non-expert reader and demonstrates in detail how to apply this conceptual framework for improved intranet retrieval of corporate information and knowledge and for enhanced Internetbased electronic commerce. He also describes ontology languages (XML, RDF, and OWL) and ontology tools, and the application of ontologies. In addition to structural improvements, the second edition covers recent developments relating to the Semantic Web, and emerging web-based standard languages.

Classification

004.67/8 22

DDC

004.67/8 22

LCSH

Semantic Web

RSWK

World Wide Web / Datenbanksystem / Abfrage / Inferenz <Künstliche Intelligenz>

Subject

World Wide Web / Datenbanksystem / Abfrage / Inferenz <Künstliche Intelligenz>
Semantic Web

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Abstract

Ontologies have been developed and investigated for quite a while now in artificial intelligente and natural language processing to facilitate knowledge sharing and reuse. More recently, the notion of ontologies has attracied attention from fields such as intelligent information integration, cooperative information systems, information retrieval, electronic commerce, and knowledge management. The author systematicaliy introduces the notion of ontologies to the non-expert reader and demonstrates in detail how to apply this conceptual framework for improved intranet retrieval of corporate information and knowledge and for enhanced Internet-based electronic commerce. In the second part of the book, the author presents a more technical view an emerging Web standards, like XML, RDF, XSL-T, or XQL, allowing for structural and semantic modeling and description of data and information.

LCSH

Semantic Web

RSWK

World Wide Web / Datenbanksystem / Abfrage / Inferenz <Künstliche Intelligenz>

Subject

World Wide Web / Datenbanksystem / Abfrage / Inferenz <Künstliche Intelligenz>
Semantic Web

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Abstract

The Intranet has been hailed as the solution to organizational technology issues as far reaching as faster information systems development, access to legacy system data, integration of incompatible systems, and progress toward the "paperless office." Moreover, intranets enable work-flow management and project management and are a platform for process redesign. Yet possibly the most far-reaching impact of the Intranet is an organizational knowledge. Intranets are providing institutions and organizations with opportunities to create knowledge. A large proportion of the pioneers are high-technology companies making use of intranets for knowledge-intensive new product development. Intranets enable community expertise to develop, as engineers brainstorm and give each other feedback in discussion groups and share product specifications and product test result queries. The scope of interest in intranets is evidenced by diverse articles and applications in the medical, legal, engineering, training, travel, technical, computer-related, and manufacturing industries. Although some definitions restrict intranets to internal information an internal webs accessed exclusively by internal users, in this article, we adopt a broader definition that includes customers and suppliers in the extended enterprise [also called an "Extranet"] and industrywide applications. Thus, an intranet is a "powerful tool for institution-wide communications, collaborative projects, and the establishment of a sense of community an a manageable scale". Despite the fact that many organizations have adopted the Intranet with great enthusiasm and there has been an avalanche of Web and journalistic articles an the Intranet since the end of 1995, theoretical research has been lacking. Evidence of the business value of the Intranet has been convincing but largely anecdotal. In addition, negative reports have surfaced an hidden costs, performance limitations, and organizational resistance. Such issues have been researched with political theories that explain how some constituents gain and others lose when there is organizational change associated with information technology (IT) implementation. Organizational learning theories also explain such contradictions by examining what affects the creation, integration, and management of knowledge and the facilitation of organizational memory. For example, the theory of organizational knowledge creation posits that autonomy, intention, redundancy, fluctuation and creative chaos, and requisite variety are conditions that induce the transfer of tacit and explicit knowledge in a spiral from individual to group, to organization levels. The findings from this analysis of reported implementations of intranets generate a theoretically based model relating organizational kowledge to the Intranet phenomenon. We extend the inductive concepts by analyzing example of enabling conditions and organizational knowledge creation modes an intranets, using Nonaka's theory of organizational knowledge creation as a guide. Our contribution is to develop a theoretical understanding of the Intranet phenomenon, with an initial framework to guide further conceptual and empirical research an the impacts and business value of the Intranet and to present implications for information systems (IS) developers, IS departments, management, and researchers.

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Abstract

As the most comprehensive reference work dealing with knowledge management (KM), this work is essential for the library of every KM practitioner, researcher, and educator. Written by an international array of KM luminaries, its approx. 60 chapters approach knowledge management from a wide variety of perspectives ranging from classic foundations to cuttingedge thought, informative to provocative, theoretical to practical, historical to futuristic, human to technological, and operational to strategic. The chapters are conveniently organized into 8 major sections. The first volume consists of the sections: foundations of KM, knowledge - a key organizational resource, knowledge processors and processing, influences an knowledge processing. Novices and experts alike will refer to the authoritative and stimulating content again and again for years to come. The second volume consists of the sections: technologies for knowledge management, outcomes of KM, knowledge management in action, and the KM horizon. Novices and experts alike will refer to the authoritative and stimulating content again and again for years to come.

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Abstract

Purpose - The purpose of this paper is to focus on knowledge management implementation from an organisational culture perspective and analyse the relationship between knowledge and power within this context. It outlines the reasons why knowledge is a power resource, and proposes that, as such, it can only be managed successfully within the framework of an effective and legitimate use of all organisational power resources. The paper looks at the factors that constitute a legitimate use of power in the Western organisational context of the twenty-first century which in turn engenders the development of trust within employment relationships. The development of trust ensures that knowledge is used to further the achievement of organisational goals. Finally, the paper addresses the ways in which effective knowledge management practice contributes to this desired state, and outlines the role of the knowledge manager in facilitating this. Design/methodology/approach - The method adopted is a literature-based analysis of the main issues covered. These include: the development of the knowledge society and attendant theories around optimal organisational structures, the relationship between knowledge and power, the development of legitimate authority within organisations, and how this impacts on the creation of trust, and finally the impact which the presence of trust has on knowledge-sharing behaviours within the organisation. Findings - Pulling together evidence from across a wide range of academic disciplines leads to the conclusion that the successful management of the relationship between access to knowledge and access to power must be framed within an overall organisational context, in which all power resources are seen to be exercised in a legitimate manner. In this context, knowledge is no longer regarded as a personal power resource, but rather as a communal resource which will then be more likely to be shared freely in order to facilitate the joint and mutually beneficial achievement of organisational goals. Underpinning this organisational dynamic is an environment of trust. Originality/value - The paper provides a summary of the literature around pivotal aspects of the question of the relationship between access to knowledge and the perception of knowledge as a source of power in the organisational context. It pulls together a range of material looking at the needs of the knowledge economy and at issues around the development of legitimate authority and the development of trust in the organisational context. It then relates this back to the successful development of a knowledge-sharing culture, and outlines the role of the knowledge manager in working with employees at all levels in the organisation in developing an optimal culture for knowledge creation and sharing.

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Date

2. 2.2003 18:31:22

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Abstract

Web Intelligence is a new research area dealing with all aspects of intelligent data processing in the Web. As the ferst book devoted to Web Intelligence, this coherently written multi-author monograph provides a thorough introduction and systematic overview of this new area. It presents both the current state of research as well as application aspects. All major topics related to Web Intelligence which can have impact an future directions and developments are presented in detail. This book will be a valuable source of reference for years to all research and development professionals interested in Weh Intelligence. Students will also appreciate the numerous illustrations and examples.

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.
- Grundlagen von Web Informationssystemen Protokolle, Technologien und Standards existieren inzwischen mannigfaltig und lediglich für spezifische Anwendungen entstehen weitere Grundlagen. In dem vorliegenden Band gibt es etwa ein Datenmodell für XML-Datenbanken (Wuwongse et al.) und den Vorschlag einer 3DModellierung (Hwang, Lee & Hwang). Auch für Proxy-Server werden neue Algorithmen entwickelt (Aguilar & Leiss). - Web Information Retrieval, WebMining und Farming Neben klassischen Themen des Information Retrieval wie kontrolliertem Vokabular (Sim & Wong), Ranking (Wang & Maguire), Kategorisierung (Loia & Luongo) und Term-Erweiterung (Huang, Oyang & Chien) stehen auch typische Web Information Retrieval Themen. Multimedia Retrieval spielt eine wichtige Rolle im Web und dazu gibt es Beiträge zu Audio (Wieczorkowska & Ra- Wan, Liu & Wang) und Grafiken (Fukumoto & Cho, Hwang, Lee & Hwang). Das Hype-Thema Link-Analyse schlägt auch gleich den Bogen hin zum Web-Mining, ist mit fünf Beiträgen aber eher unterrepräsentiert. Link-Analyse stellt die Frage, was sich aus den inzwischen wohl über zehn Milliarden Links im Internet folgern lässt. So extrahieren zwei Beiträge die zeitliche Veränderung sozialer Strukturen in Web Communities. Matsumura et al. untersuchen, ob Außenseiter sich auch für die innerhalb einer Community diskutierten Themen interessieren und werten dies als Maß für die Verbreitung des Themas. Bun & Ishizuka interessieren sich nur für die Änderungen innerhalb einer Gruppe von thematisch zusammengehörigen Web-Abgeboten und analysieren in diesem Korpus die wichtigsten Sätze, die neu entstehende Themen am besten repräsentieren. Andere Mining-Beiträge befassen sich mit der Erstellung von Sprachressourcen (Chau & Yeh). - Informationsmanagement unter WebBedingungen Für das Informationsmanagement gelten Ontologien zur Beschreibung des vorhandenen Wissens als wichtiges Instrument und dementsprechend ist "Ontologie" auch ein Kandidat für das höchst-frequente Wort in dem Tagungsband.
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/)."

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Abstract

Briefly describes the information products and services, the related databases, development of digital library and web-resources and web-based services, vocabulary control tools, networking, and other projects of the Library of the National Tuberculosis Institute (NTI), Bangalore. Acknowledges the involvement of and advice and assistance provided by Prof. A. Neelameghan to these programmes and projects.

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Content

Key Features - More than just a list of web sites: is a practical guide to techniques and good practice in effective business information searching; each resource listed identifies, describes and evaluates - i.e. not just a listing but a summary of key features, including limitations - Checklists and toolkits for key processes in business information (current awareness, market research, competitor intelligence, market report creation, company analysis) - Incorporates training outlines/exercises to facilitate librarians who assist end users in the basics of business information searching, including tasks, examples and exercises - Complementary web site provides live links, online information tools and training exercises Contents Business information and the internet - the evergrowing need for information; origins, comparisons, flaws; distinguishing between official, unofficial and 'grey' information (primary, secondary etc); evaluating online information and its sources; information skills analysis (filling the gap); costs (assessing, justifying, avoiding): Effective use of serious search engines - beyond simple search; understanding the Invisible Web; finding what you can't see; deep-drilling for business information: Business information professional's reference desk - essential tools assessed and evaluated; portals and gateways; how to create a company/sector specific research tool; saving and sharing information: Company information - directories and databases of companies; financial reports and Annual reports; shares, analysis and comment; company web sites/ press releases; gentle espionage through media sources: Current awareness - current awareness tools and strategies; 'live' and archived business news sources; newsletters and informal sources of information: Market intelligence - trade associations and trade events; sector specific information; trade journals; using academic resources: Market research - methods and techniques; market research companies; market research services; patent searching; online tools for surveys and questionnaires: Competitor intelligence - what is competitor intelligence; understanding CI tools and techniques; sources of competitor intelligence: Country analysis - socioeconomic data; sources of national statistics; government agencies relating to business; journals and portals: Market Reports - Internet-specific data: dotcoms, ecommerce etc; publishers of market reports; creating the ideal market report: Tools and tips & training -checklists and exercises.

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Abstract

The Handbook provides practitioners, scientists and graduate students with a good overview of basic notions, methods and techniques, as well as important issues and trends across the broad spectrum of data management. In particular, the book covers fundamental topics in the field such as distributed databases, parallel databases, advanced databases, object-oriented databases, advanced transaction management, workflow management, data warehousing, data mining, mobile computing, data integration and the Web. Summing up, the Handbook is a valuable source of information for academics and practitioners who are interested in learning the key ideas in the considered area.

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Content

This paper presents a visual information seeking system for the WWW called INSYDER. The aim of INSYDER is to find business information from the WWW. Information seeking - especially on the Web - is an imprecise process. Information seekers often have only a fuzzy understanding of how they can get the information they want. This paper focuses on the use of information retrieval and visualisation techniques of the INSYDER system to support the user in extracting information from the WWW, namely in formulating queries, refining and reviewing results

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Abstract

This paper reports on a portion of a larger ongoing project. We address the issues of information organization and retrieval in large, active commercial websites. More specifically, we address the use of classification for providing access to the contents of such sites. We approach this analysis by describing the functionality and structure of the classification scheme of one such representative, large, active, commercial websites: eBay.com, a web-based auction site for millions of users and items. We compare eBay's classification scheme with the Art & Architecture Thesaurus, which is a tool for describing and providing access to material culture.

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Date

7.11.2008 15:22:04