Search (3718 results, page 1 of 186)

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Aid

DB/TextWorks => Inmagic DB/TextWorks

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Abstract

For about 10 years, systems such as STATUS, CAIRS and INMAGIC have offered the ability to search for any word in a collection of unstructured text. Until recently, only librarians and documentalists have been interested, but free text retrieval is increasingly valued in the business world in general and all 3 systems are striving for a wider market by adding other features to their established core competence. Illustrates this trend with particualr reference to: STATUS/IQ; CAIRS; TMS and DB/TextWorks (the successor to InMagic Plus)

Date

22. 2.1996 10:18:16

Object

INMAGIC DB/TextWorks

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Abstract

A comparison was made between CDS/ISIS, ist Windows version WINISIS, and InMagic's INMAGIC and DB/TextWorks software. Packages were evaluated for their database creation, information retrieval and report production capabilities. Windows versions were found to provide significant enhancements over DOS versions of software. The evaluation aimed to determine the advantages to a developing country of creating bibliographic databases using commercial software

Date

22. 2.1999 13:54:49

Object

INMAGIC DB/TextWorks

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Classification

320 / 23sdnb

Date

1. 1.2019 11:22:34

DDC

320 / 23sdnb

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Classification

300 / 23sdnb
004 / 23sdnb

Date

18. 6.2018 19:22:02

DDC

300 / 23sdnb
004 / 23sdnb

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Abstract

Describes CIMMYT's (Centro Internacional de Mejoramiento de Maiz y Trigo) migration to a new integrated library software and the impact of that software on various management tasks. A product of INMAGIC Inc., the software in known as DB/TextWorks (Windows version). Flexibility and user friendliness are among its outstanding features. Gives special emphasis to the selection process

Date

22. 2.1999 13:55:01

Object

INMAGIC DB/TextWorks

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Classification

333.7 / 23sdnb

Date

22. 1.2018 17:33:05

DDC

333.7 / 23sdnb

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Classification

370 / 23sdnb
MBL 22

DDC

370 / 23sdnb

SSD

MBL 22

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Abstract

Discusses the characteristics and functions of the textual database management program DB/TextWorks 2.0 of Inmagic Inc. Operating on a PC microcomputer in a Windows environment (stand alone or network), it combines the advantages of full text retrieval systems and the flexibility of databases. Presents an evaluation of the program and examines its use in libraries with the DB/TextWorks Library guide kit which proposes database models conceived for various functions; acquisitions, cataloging, loans, OPAC, serials management, and interlibrary loan

Footnote

Übers. des Titels: Inmagic DB/TextWorks, a classic for Windows

Object

Inmagic DB/TextWorks

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Classification

020 / 23sdnb

Date

17. 1.2019 17:22:18

DDC

020 / 23sdnb

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Date

6. 3.1997 16:22:15

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Content

Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.

Date

8. 1.2013 10:22:32

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Object

Sachgruppen DB/DNB

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Sachgruppen DB/DNB

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Object

DB

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Abstract

In dieser Arbeit wird der Versuch unternommen, die beiden klassischen Typen von Informationssystemen, Datenbank (DB)- und Information Retrieval (IR)-Systeme, bezüglich ihrer Erweiterung zu Wissensbasierten Systemen zu diskutieren. Eine solche Diskussion kann unter sehr verschiedenen Blickwinkeln erfolgen, hier beschränkt auf den Aspekt, jeweils mit Bezug zu PROLOG möglicher Erweiterungen von DB- und IR-Systemen zu untersuchen. Ein grundlegendes Verständnis von DB- und IR-Systemen wird vorausgesetzt. Die Arbeit beschränkt sich auf kurze Darstellungen wissensbasierter Systeme in Kap.1 und von PROLOG in Kap.2. Darauf aufbauend wird in Kap.3 die Erweiterung von DB- und in Kap.4 die Erweiterung von IR-Systemen jeweils zu Wissensbasierten Systemen behandelt

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Classification

810 / 23sdnb
839 / 23sdnb

DDC

810 / 23sdnb
839 / 23sdnb

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Abstract

Bei der Pilotstudie DB-Thesaurus ging es um die Untersuchung der Art und Form der von der Deutschen Bibliothek für ihre Inhaltserschließung verwendeten Schlagwörter und ihre Eignung als Elemente eines allgemeinen Thesaurus für Bibliotheken. Der Abschlußbericht (Arbeits- und Ergebnisbericht) beantwortet die in der Ausschreibung ausgesprochenen Fragen bezgl. der Möglichkeiten und Grundprinzipien eines solchen Thesaurus der DB-Schlagwörter, insbesondere auch seiner Struktur (Umfassung der Fachgebeiete, Anzahl der Hauptgruppen, Erschließungstiefe), seiner Relationsarten (begriffliche und terminologische), der Möglichkeiten der Wortschatzbegrenzung, der Behandlung von Eigennamen und der Möglichkeiten der Terminologiekontrolle. Die Untersuchung ergab, daß sich die SW der DB als Thesauruselemente eignen, daß diese aber um viele Begriffe ergänzt werden müssen, die teilweise aus dem Schatz der DB-Verweisungen gewonnen werden könnten, wenn man einen systematisch angelegten, allgemeinen Thesaurus auf dieser Basis erstellen will. Unter den Anlagen befindet sich als Beispiel dafür, daß DB-Schlag- und Verweisungswörter zur Thesauruserstellung herangezogen werden können, ein sog. Sportthesaurus, der nur durch einige fehlende Oberbegriffe ergänzt wurde. Der gesamte systematische Teil ist im alphabetischen Teil enthalten. Auf die Unterscheidung der Abstraktionsrelation von der Bestandsrelation wurde auch im alphabetischen Teil besonderer Wert gelegt

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Abstract

Sehr viele Informationen sind bereits im Web verfügbar oder können aus isolierten strukturierten Datenspeichern wie Informationssystemen und sozialen Netzwerken gewonnen werden. Datenintegration durch Nachbearbeitung oder durch Suchmechanismen (z. B. D2R) ist deshalb wichtig, um Informationen allgemein verwendbar zu machen. Semantische Technologien ermöglichen die Verwendung definierter Verbindungen (typisierter Links), durch die ihre Beziehungen zueinander festgehalten werden, was Vorteile für jede Anwendung bietet, die das in Daten enthaltene Wissen wieder verwenden kann. Um ­eine semantische Daten-Landkarte herzustellen, benötigen wir Wissen über die einzelnen Daten und ihre Beziehung zu anderen Daten. Dieser Beitrag stellt unsere Arbeit zur Benutzung von Lexical Linked Data (LLD) durch ein Meta-Modell vor, das alle Ressourcen enthält und zudem die Möglichkeit bietet sie unter unterschiedlichen Gesichtspunkten aufzufinden. Wir verbinden damit bestehende Arbeiten über Wissensgebiete (basierend auf der Information Coding Classification) mit der Multilingual Lexical Linked Data Cloud (basierend auf der RDF/OWL-Repräsentation von EuroWordNet und den ähnlichen integrierten lexikalischen Ressourcen MultiWordNet, MEMODATA und die Hamburg Metapher DB).

Date

22. 9.2014 19:00:13

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Content

Vgl.: http%3A%2F%2Fcreativechoice.org%2Fdoc%2FHansJonas.pdf&usg=AOvVaw1TM3teaYKgABL5H9yoIifA&opi=89978449.