-
Petritsch, B.: Metadata for research data in practice (2017)
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- Abstract
- Welche Daten über Daten brauchen wir? Die Beschreibung des Prozesses diese Frage für das institutionelle Datenrepositourium IST DataRep zu beantworten.
-
Suominen, O.; Hyvönen, N.: From MARC silos to Linked Data silos? (2017)
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- Abstract
- Seit einiger Zeit stellen Bibliotheken ihre bibliografischen Metadadaten verstärkt offen in Form von Linked Data zur Verfügung. Dabei kommen jedoch ganz unterschiedliche Modelle für die Strukturierung der bibliografischen Daten zur Anwendung. Manche Bibliotheken verwenden ein auf FRBR basierendes Modell mit mehreren Schichten von Entitäten, während andere flache, am Datensatz orientierte Modelle nutzen. Der Wildwuchs bei den Datenmodellen erschwert die Nachnutzung der bibliografischen Daten. Im Ergebnis haben die Bibliotheken die früheren MARC-Silos nur mit zueinander inkompatiblen Linked-Data-Silos vertauscht. Deshalb ist es häufig schwierig, Datensets miteinander zu kombinieren und nachzunutzen. Kleinere Unterschiede in der Datenmodellierung lassen sich zwar durch Schema Mappings in den Griff bekommen, doch erscheint es fraglich, ob die Interoperabilität insgesamt zugenommen hat. Der Beitrag stellt die Ergebnisse einer Studie zu verschiedenen veröffentlichten Sets von bibliografischen Daten vor. Dabei werden auch die unterschiedlichen Modelle betrachtet, um bibliografische Daten als RDF darzustellen, sowie Werkzeuge zur Erzeugung von entsprechenden Daten aus dem MARC-Format. Abschließend wird der von der Finnischen Nationalbibliothek verfolgte Ansatz behandelt.
-
Koch, G.; Koch, W.: Aggregation and management of metadata in the context of Europeana (2017)
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- Abstract
- Mit dem In-Beziehung-Setzen und Verlinken von Daten im Internet wird der Weg zur Umsetzung des semantischen Webs geebnet. Erst die semantische Verbindung von heterogenen Datenbeständen ermöglicht übergreifende Suchvorgänge und späteres "Machine Learning". Im Artikel werden die Aktivitäten der Europäischen Digitalen Bibliothek im Bereich des Metadatenmanagements und der semantischen Verlinkung von Daten skizziert. Dabei wird einerseits ein kurzer Überblick zu aktuellen Forschungsschwerpunkten und Umsetzungsstrategien gegeben, und darüber hinaus werden einzelne Projekte und maßgeschneiderte Serviceangebote für naturhistorische Daten, regionale Kultureinrichtungen und Audiosammlungen beschrieben.
-
Birkner, M.; Gonter, G.; Lackner, K.; Kann, B.; Kranewitter, M.; Mayer, A.; Parschalk, A.: Guideline zur Langzeitarchivierung (2016)
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- Abstract
- Guideline zur Hilfestellung für die Langzeitarchivierung von Daten und Objekten im Kontext des Publikations- und Forschungswesens. Diese Guideline soll Hilfestellung für die Langzeitarchivierung von Daten und Objekten im Kontext des Publikations- und Forschungswesens bieten. Sie ist ausdrücklich nicht für den Kontext der Compliance anwendbar. Sie soll dazu ermächtigen, die richtigen Fragen zur Auswahl der für die eigene Institution geeigneten Langzeitarchivierungs-Lösung zu stellen und bei der Entscheidung für eine System-Lösung behilflich sein. Langzeitarchivierungssysteme werden hier als Systeme verstanden, die im Workflow hinter einem Repositorium stehen, in dem digitale Objekte und ihre Metadaten gespeichert und angezeigt werden sowie recherchierbar sind. Allfällige Begriffserklärungen finden Sie im Glossar des Clusters C (Aufbau eines Wissensnetzwerks: Erarbeitung eines Referenzmodells für den Aufbau von Repositorien / Themenbereich Terminologie und Standards).
-
Preza, J.L.: Data science und analytics in libraries (2017)
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- Abstract
- Bibliotheken sind in einer priviligierten Situation: Sie verwalten riesige Mengen von Daten und Informationen. Data Science und Analytics-Methoden ermöglichen es Bibliotheken, den Inhalt, den sie verwalten, voll auszunutzen, um den Nutzern bessere Informationen, Suche und Empfehlungen zu bieten.
-
Kopácsi, S. et al.: Development of a classification server to support metadata harmonization in a long term preservation system (2016)
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- Source
- Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
-
Hajra, A. et al.: Enriching scientific publications from LOD repositories through word embeddings approach (2016)
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- Source
- Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
-
Mora-Mcginity, M. et al.: MusicWeb: music discovery with open linked semantic metadata (2016)
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- Source
- Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
-
Söhler, M.: "Dumm wie Google" war gestern : semantische Suche im Netz (2011)
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- Content
- - "Gemeinsames Format für strukturierte Daten" Aber warum sollten Google, Yahoo und Bing plötzlich zusammenarbeiten, wo doch bisher die Konkurrenz das Verhältnis prägte? Stefan Keuchel, Pressesprecher von Google Deutschland, betont, alle beteiligten Unternehmen wollten "ein deutliches Zeichen setzen, um die Qualität der Suche zu verbessern". Man entwickele "ein gemeinsames Format für strukturierte Daten, mit dem Dinge ermöglicht werden, die heute noch nicht möglich sind - Stichwort: semantische Suche". Die Ergebnisse aus Schema.org würden "zeitnah" in die Suchmaschine integriert, "denn einen Zeitplan" gebe es nicht. "Erst mit der Einigung auf eine gemeinsame Sprache können Suchmaschinen einen Mehrwert durch semantische Technologien generieren", antwortet Daniel Bahls auf die Frage nach Gemeinsamkeit und Konkurrenz der Suchmaschinen. Er weist außerdem darauf hin, dass es bereits die semantische Suchmaschine Sig.ma gibt. Geschwindigkeit und Menge der Ergebnisse nach einer Suchanfrage spielen hier keine Rolle. Sig.ma sammelt seine Informationen allein im Bereich des semantischen Webs und listet nach einer Anfrage alles Bekannte strukturiert auf."
-
White, H.: Examining scientific vocabulary : mapping controlled vocabularies with free text keywords (2013)
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- Date
- 29. 5.2015 19:09:22
-
Alves dos Santos, E.; Mucheroni, M.L.: VIAF and OpenCitations : cooperative work as a strategy for information organization in the linked data era (2018)
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- Date
- 18. 1.2019 19:13:22
-
Ilik, V.; Storlien, J.; Olivarez, J.: Metadata makeover (2014)
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- Date
- 10. 9.2000 17:38:22
-
Pfister, E.; Wittwer, B.; Wolff, M.: Metadaten - Manuelle Datenpflege vs. Automatisieren : ein Praxisbericht zu Metadatenmanagement an der ETH-Bibliothek (2017)
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- Source
- B.I.T.online. 20(2017) H.1, S.22-25
-
Baker, T.: Dublin Core Application Profiles : current approaches (2010)
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- Source
- Wissensspeicher in digitalen Räumen: Nachhaltigkeit - Verfügbarkeit - semantische Interoperabilität. Proceedings der 11. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Konstanz, 20. bis 22. Februar 2008. Hrsg.: J. Sieglerschmidt u. H.P.Ohly
-
DeZelar-Tiedman, C.: Exploring user-contributed metadata's potential to enhance access to literary works (2011)
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- Date
- 10. 9.2000 17:38:22
-
Wartburg, K. von; Sibille, C.; Aliverti, C.: Metadata collaboration between the Swiss National Library and research institutions in the field of Swiss historiography (2019)
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- Date
- 30. 5.2019 19:22:49
-
Belém, F.M.; Almeida, J.M.; Gonçalves, M.A.: ¬A survey on tag recommendation methods : a review (2017)
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- Date
- 16.11.2017 13:30:22
-
Cho, H.; Donovan, A.; Lee, J.H.: Art in an algorithm : a taxonomy for describing video game visual styles (2018)
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- Abstract
- The discovery and retrieval of video games in library and information systems is, by and large, dependent on a limited set of descriptive metadata. Noticeably missing from this metadata are classifications of visual style-despite the overwhelmingly visual nature of most video games and the interest in visual style among video game users. One explanation for this paucity is the difficulty in eliciting consistent judgements about visual style, likely due to subjective interpretations of terminology and a lack of demonstrable testing for coinciding judgements. This study presents a taxonomy of video game visual styles constructed from the findings of a 22-participant cataloging user study of visual styles. A detailed description of the study, and its value and shortcomings, are presented along with reflections about the challenges of cultivating consensus about visual style in video games. The high degree of overall agreement in the user study demonstrates the potential value of a descriptor like visual style and the use of a cataloging study in developing visual style taxonomies. The resulting visual style taxonomy, the methods and analysis described herein may help improve the organization and retrieval of video games and possibly other visual materials like graphic designs, illustrations, and animations.
-
Roy, W.; Gray, C.: Preparing existing metadata for repository batch import : a recipe for a fickle food (2018)
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- Date
- 10.11.2018 16:27:22
-
Willis, C.; Greenberg, J.; White, H.: Analysis and synthesis of metadata goals for scientific data (2012)
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- Abstract
- The proliferation of discipline-specific metadata schemes contributes to artificial barriers that can impede interdisciplinary and transdisciplinary research. The authors considered this problem by examining the domains, objectives, and architectures of nine metadata schemes used to document scientific data in the physical, life, and social sciences. They used a mixed-methods content analysis and Greenberg's () metadata objectives, principles, domains, and architectural layout (MODAL) framework, and derived 22 metadata-related goals from textual content describing each metadata scheme. Relationships are identified between the domains (e.g., scientific discipline and type of data) and the categories of scheme objectives. For each strong correlation (>0.6), a Fisher's exact test for nonparametric data was used to determine significance (p < .05). Significant relationships were found between the domains and objectives of the schemes. Schemes describing observational data are more likely to have "scheme harmonization" (compatibility and interoperability with related schemes) as an objective; schemes with the objective "abstraction" (a conceptual model exists separate from the technical implementation) also have the objective "sufficiency" (the scheme defines a minimal amount of information to meet the needs of the community); and schemes with the objective "data publication" do not have the objective "element refinement." The analysis indicates that many metadata-driven goals expressed by communities are independent of scientific discipline or the type of data, although they are constrained by historical community practices and workflows as well as the technological environment at the time of scheme creation. The analysis reveals 11 fundamental metadata goals for metadata documenting scientific data in support of sharing research data across disciplines and domains. The authors report these results and highlight the need for more metadata-related research, particularly in the context of recent funding agency policy changes.
