Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Peter Schäuble"'
Publikováno v:
o-bib. Das offene Bibliotheksjournal, Vol 6, Iss 3 (2019)
Der "Digitale Assistent" DA-3 ist ein webbasiertes Tool zur maschinellen Unterstützung der intellektuellen verbalen und klassifikatorischen Inhaltserschließung. Im Frühjahr 2016 wurde einer breiteren Fachöffentlichkeit die zunächst für den Eins
Externí odkaz:
https://doaj.org/article/df34bf91f01646ac905e026d245bbc06
Publikováno v:
o-bib. Das offene Bibliotheksjournal, Vol 3, Iss 4, Pp 156-185 (2016)
Wir beschreiben den Digitalen Assistenten DA-2, den wir zur Unterstützung der Sacherschliessung im IBS-Verbund implementiert haben. Diese webbasierte Anwendung ist eine vollständige Neuimplementierung, welche die Erkenntnisse des Vorgängersystems
Externí odkaz:
https://doaj.org/article/bfce76730c7648babc3ae6923cc31391
Autor:
Andrea Malits, Peter Schäuble
Publikováno v:
ABI Technik. 34:132-143
Zusammenfassung Seit Juni 2013 ist der Digitale Assistent in den Workflow der Erschließungsprozesse der Zentralbibliothek Zürich integriert. Das System des Digitalen Assistenten kombiniert automatisch unterstützte Prozesse und intellektuelle S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b510adec2647eeb055e6e96f69a4014
https://doi.org/10.1515/abitech-2014-0024
https://doi.org/10.1515/abitech-2014-0024
Autor:
Elke Mittendorf, Peter Schäuble
Publikováno v:
Information Retrieval. 3:189-216
The retrieval of documents that originate from digitized and OCR-converted paper documents is an important task for modern retrieval systems. The problems that OCR errors cause for the retrieval process have been subject to research for several years
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a5ddd5c7af809a62cc246aacd1446f0
https://doi.org/10.1023/a:1026564708926
https://doi.org/10.1023/a:1026564708926
Autor:
Martin Wechsler, Peter Schäuble
Publikováno v:
Information Retrieval. 3:217-227
A theoretic framework for multimedia information retrieval is introduced which guarantees optimal retrieval effectiveness. In particular, a Ranking Principle for Distributed Multimedia-Documents (RPDM) is described together with an algorithm that sat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75c13184e6384bc359f50b3a0b292899
https://doi.org/10.1023/a:1026516825764
https://doi.org/10.1023/a:1026516825764
Autor:
Peter Schäuble, Martin Braschler
Publikováno v:
Information Retrieval. 3:273-284
We present a system for multilingual information retrieval that allows users to formulate queries in their preferred language and retrieve relevant information from a collection containing documents in multiple languages. The system is based on a pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abd9eeca67721d7aa741a7ab7bffd60c
https://doi.org/10.1023/a:1026525127581
https://doi.org/10.1023/a:1026525127581
Publikováno v:
Information Retrieval. 3:173-188
This paper presents four novel techniques for open-vocabulary spoken document retrieval: a method to detect slots that possibly contain a query features a method to estimate occurrence probabilitiess a technique that we call collection-wide probabili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a502b9966211cd37a9a577d18734de4b
https://doi.org/10.1023/a:1026512724855
https://doi.org/10.1023/a:1026512724855
Publikováno v:
Information Retrieval. 3:243-251
We have applied the well-known Robertson-Sparck Jones weighting to sets of indexing features that are different from word-based features. Our features describe the co-occurrences of words in a window range of predefined size. The experiments have bee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc6a8e714dc7f595fb246f78776a66eb
https://doi.org/10.1023/a:1026520926673
https://doi.org/10.1023/a:1026520926673
Autor:
Peter Schäuble
Multimedia Information Retrieval: Content-Based Information Retrieval from Large Text and Audio Databases addresses the future need for sophisticated search techniques that will be required to find relevant information in large digital data repositor
Publikováno v:
ACM SIGMOD Record. 23:57-63
We present an information retrieval system that simultaneously allows to search for text and speech documents. The retrieval system accepts vague queries and performs a best-match search to find those documents that are relevant to the query. The out
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0210c7b2d2f651b19e6a704c361ccd89
https://doi.org/10.1145/190627.190645
https://doi.org/10.1145/190627.190645