A feasibility Study and Prototype to Store and Retrieve Enterprise Data with Semantic Meaning
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Autor:innen
Autor:in (Körperschaft)
Publikationsdatum
2010
Typ der Arbeit
Master
Studiengang
Sammlung
Typ
11 - Studentische Arbeit
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Themenheft
DOI der Originalpublikation
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Reihe / Serie
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Ausgabe / Nummer
Seiten / Dauer
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Verlag / Herausgebende Institution
Hochschule für Wirtschaft FHNW
Verlagsort / Veranstaltungsort
Olten
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
The vast amount of information contained within the World Wide Web is beyond any individual’s imagination. The main focus of currently provided data on the Web is designed for human purposes and is not suitable for automatic machine interpretation. In order to tailor it for automatic computer consumption different approaches have been elaborated as describe in the paper of Wright (2008). Hence there is a development towards a machine interpretable Web which does not only function as a repository for text and images but rather provides services and linked data with semantics where the Semantic Web approach is one of these promising developments. The Semantic Web and its Impact:The name Semantic Web is about creating a globally connected data net where any information is storable and retrievable not only for human consumption but also as a way for machines to process the information in an automatic manner. Marking up of Web content add meaning to the underlying information with the ability to automatically interpret it at a later stage, significantly increasing the current scope of internet opportunities. Such an approach will have a hugely positive impact on search engine results. Instead of referencing documents where the answer of the requested search might be embodied in the text, the answer will be displayed directly....
Schlagwörter
Fachgebiet (DDC)
330 - Wirtschaft
Veranstaltung
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
Enddatum der Konferenz
Datum der letzten Prüfung
ISBN
ISSN
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Publikationsstatus
Begutachtung
Open Access-Status
Lizenz
Zitation
DUBACH, Marcel, 2010. A feasibility Study and Prototype to Store and Retrieve Enterprise Data with Semantic Meaning. Olten: Hochschule für Wirtschaft FHNW. Verfügbar unter: https://irf.fhnw.ch/handle/11654/39905