Search (5 results, page 1 of 1)

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Abstract

In diesem Kapitel werden Vorschläge für neue Suchparadigmen nach multimedialen Inhalten in Archiven von Kultureinrichtungen vorgestellt. Um die Notwendigkeit für eine Integration dieser neuen Technologien zu zeigen, werden zunächst Einschränkungen der klassischen katalogbasierten Bibliothekssuche im Zeitalter von immer weiter wachsenden Multimediasammlungen beschrieben. Im Anschluss werden die Vor- und Nachteile zweier Suchparadigmen dargestellt, mit deren Hilfe in Zukunft für Wissenschaftler und Kulturschaffende die Suche nach multimedialen Inhalten erleichtert werden könnte. Zunächst werden die Perspektiven einer semantischen Suche auf Basis von Semantic-Web-Technologien in Bibliotheken beschrieben. Im Anschluss werden Suchmöglichkeiten für Multimediainhalte auf Basis von automatischer inhaltsbasierter Medienanalyse gezeigt. Das Kapitel endet mit einem Ausblick auf eine mögliche Vereinigung der beiden neuen Ansätze mit katalogbasierter Bibliothekssuche.

Source

Handbuch Internet-Suchmaschinen, 2: Neue Entwicklungen in der Web-Suche. Hrsg.: D. Lewandowski

Theme

Semantic Web

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LCSH

Semantic Web

Subject

Semantic Web

Theme

Semantic Web

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Abstract

Indexing remains one of the most popular tools provided by digital libraries to help users identify and understand the characteristics of the information they need. Despite extensive studies of the problem of automatic index construction for text-based digital libraries, the construction of multimedia digital libraries continues to represent a challenge, because multimedia objects usually lack sufficient text information to ensure reliable index learning. This research attempts to tackle the problem of automatic index construction for multimedia objects by employing Web usage logs and limited keywords pertaining to multimedia objects. The tests of two proposed algorithms use two different data sets with different amounts of textual information. Web usage logs offer precious information for building indexes of multimedia digital libraries with limited textual information. The proposed methods generally yield better indexes, especially for the artwork data set.

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Date

22. 1.2012 13:02:10

Source

Knowledge organization. 39(2012) no.1, S.13-22

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Abstract

Currently, there is no structured data standard for representing elements commonly found in transmedia fictional worlds. Although there are websites dedicated to individual universes, the information found on these sites separate out the various formats, concentrate on only the bibliographic aspects of the material, and are only searchable with full text. We have created an ontological model that will allow various user groups interested in transmedia to search for and retrieve the information contained in these worlds based upon their structure. We conducted a domain analysis and user studies based on the contents of Harry Potter, Lord of the Rings, the Marvel Universe, and Star Wars in order to build a new model using Ontology Web Language (OWL) and an artificial intelligence-reasoning engine. This model can infer connections between transmedia properties such as characters, elements of power, items, places, events, and so on. This model will facilitate better search and retrieval of the information contained within these vast story universes for all users interested in them. The result of this project is an OWL ontology reflecting real user needs based upon user research, which is intuitive for users and can be used by artificial intelligence systems.