Search (12 results, page 1 of 1)

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Abstract

Data warehousing has captured the attention of practitioners and researchers alike. But the design and optimization of data warehouses remains as an art rather than a science. This book presents the first comparative review of the state of the art and best current practice in data warehousing. It covers source and data integration, multidimensional aggregation, query optimization, update propagation, metadata management, quality assessment, and design optimization. Also, based on results of the European DWQ project, it offers a conceptual framework by which the architecture and quality of datawarehousing efforts can be assessed and improved using enriched metadata management combined with advanced techniques from databases, business modeling, and artificial intelligence

RSWK

Data-warehouse-Konzept / Informationsmanagement (21)

Subject

Data-warehouse-Konzept / Informationsmanagement (21)

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Abstract

As the first book devoted to relational data mining, this coherently written multi-author monograph provides a thorough introduction and systematic overview of the area. The ferst part introduces the reader to the basics and principles of classical knowledge discovery in databases and inductive logic programmeng; subsequent chapters by leading experts assess the techniques in relational data mining in a principled and comprehensive way; finally, three chapters deal with advanced applications in various fields and refer the reader to resources for relational data mining. This book will become a valuable source of reference for R&D professionals active in relational data mining. Students as well as IT professionals and ambitioned practitioners interested in learning about relational data mining will appreciate the book as a useful text and gentle introduction to this exciting new field.

Theme

Data Mining

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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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Abstract

Purpose - Potential and benefits of classification schemes and thesauri in building organizational taxonomies cannot be fully utilized by organizations. Empirical data of building an organizational taxonomy by the top-down approach of using classification schemes and thesauri appear to be lacking. The paper seeks to make a contribution in this regard. Design/methodology/approach - A case study of building an organizational taxonomy was conducted in the information studies domain for the Division of Information Studies at Nanyang Technology University, Singapore. The taxonomy was built by using the Dewey Decimal Classification, the Information Science Taxonomy, two information systems taxonomies, and three thesauri (ASIS&T, LISA, and ERIC). Findings - Classification schemes and thesauri were found to be helpful in creating the structure and categories related to the subject facet of the taxonomy, but organizational community sources had to be consulted and several methods had to be employed. The organizational activities and stakeholders' needs had to be identified to determine the objectives, facets, and the subject coverage of the taxonomy. Main categories were determined by identifying the stakeholders' interests and consulting organizational community sources and domain taxonomies. Category terms were selected from terminologies of classification schemes, domain taxonomies, and thesauri against the stakeholders' interests. Hierarchical structures of the main categories were constructed in line with the stakeholders' perspectives and the navigational role taking advantage of structures/term relationships from classification schemes and thesauri. Categories were determined in line with the concepts and the hierarchical levels. Format of categories were uniformed according to a commonly used standard. The consistency principle was employed to make the taxonomy structure and categories neater. Validation of the draft taxonomy through consultations with the stakeholders further refined the taxonomy. Originality/value - No similar study could be traced in the literature. The steps and methods used in the taxonomy development, and the information studies taxonomy itself, will be helpful for library and information schools and other similar organizations in their effort to develop taxonomies for organizing content and aiding navigation on organizational sites.

Date

7.11.2008 15:22:04

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Abstract

Autonomy of operations combined with decentralized management of data gives rise to a number of hetegrogeneous databases or information systems within an enterprise. These systems are often incompatible in structure as well as content and, hence, difficult to integrate. Depsite heterogeneity, the unity of overall purpose within a common application domain, nevertheless, provides a degree of semantic similarity that manifests itself in the form of similar data structures and common usage patterns of existing information systems. This article introduces a conceptual integration approach that exploits the similarity in metalevel information in existing systems and performs 'metadata mining' on database objects to discover a set of concepts that serve as a domain abstraction and provide a conceptual layer is further uitlized by an information reengineering framework that customizes and packages information to reflect the unique needs of differnt user groups within the application domain. The architecture of the information reengineering framework is based on an object-oriented model that represents the discovered concepts as customized application objects for each distinct user group

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Date

2. 2.2003 18:31:22

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Abstract

Purpose - The purpose of this paper is to explore information literacy amongst small- and medium-sized businesses (SMEs) in the UK and the USA and argue that information policy in the UK has not given sufficient attention to helping these companies navigate the ever-increasing volumes of information accessible over the internet. Design/methodology/approach - A combination of primary and secondary data have been used. The primary data consists of a survey of UK SMEs, which explored how these companies use the internet as a research tool. The results of the survey are compared to similar surveys carried out in the USA. Several significant UK policy documents are examined to find out how government policy in this area has addressed the issue of information literacy amongst SMEs. Findings - It is shown that UK SMEs wasted over £3.7 billion in 2005 in terms of time wasted through inefficient use of the internet as a research tool. Practical implications - It is argued that while government policies in this area have put resources into encouraging SMEs to adopt broadband and engage in e-commerce, they have not sufficiently addressed the issue of information literacy. Originality/value - Little research has been carried out into how SMEs use the internet as a research tool and this is the first time that a financial cost figure has been applied to inefficient searching by these organisations.

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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

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.

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Classification

004.67/8 22

DDC

004.67/8 22

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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

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.
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/)."