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Abstract

Definition of a conceptual reference model to provide a framework for the analysis of non-administrative metadata relating to library resources. The resulting model definition was approved by the FRBR Review Group (November 2016), and then made available to the Standing Committees of the Sections on Cataloguing and Subject Analysis & Access, as well as to the ISBD Review Group, for comment in December 2016. The final document was approved by the IFLACommittee on Standards (August 2017).

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Content

The Library is consulting with stakeholders concerning the potential impact of these proposals. No firm decisions have yet been taken regarding either of these standards. FAST 1. The British Library proposes to adopt FAST selectively to extend the scope of subject indexing of current and legacy content. 2. The British Library proposes to implement FAST as a replacement for LCSH in all current cataloguing, subject to mitigation of the risks identified above, in particular the question of sustainability. DDC 3. The British Library proposes to implement Abridged DDC selectively to extend the scope of subject indexing of current and legacy content.

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Abstract

The increasingly pervasive nature of the Web, expanding to devices and things in everydaylife, along with new trends in Artificial Intelligence call for new paradigms and a new look onKnowledge Representation and Processing at scale for the Semantic Web. The emerging, but stillto be concretely shaped concept of "Knowledge Graphs" provides an excellent unifying metaphorfor this current status of Semantic Web research. More than two decades of Semantic Webresearch provides a solid basis and a promising technology and standards stack to interlink data,ontologies and knowledge on the Web. However, neither are applications for Knowledge Graphsas such limited to Linked Open Data, nor are instantiations of Knowledge Graphs in enterprises- while often inspired by - limited to the core Semantic Web stack. This report documents theprogram and the outcomes of Dagstuhl Seminar 18371 "Knowledge Graphs: New Directions forKnowledge Representation on the Semantic Web", where a group of experts from academia andindustry discussed fundamental questions around these topics for a week in early September 2018,including the following: what are knowledge graphs? Which applications do we see to emerge?Which open research questions still need be addressed and which technology gaps still need tobe closed?

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Abstract

Die Gemeinsame Normdatei (GND) ist seit April 2012 die Datei, die die im deutschsprachigen Bibliothekswesen verwendeten Normdaten enthält. Folglich muss auf Basis dieser Daten eine Repräsentation für die Darstellung als Linked Data im Semantic Web etabliert werden. Neben der eigentlichen Bereitstellung von GND-Daten im Semantic Web sollen die Daten mit bereits als Linked Data vorhandenen Datenbeständen (DBpedia, VIAF etc.) verknüpft und nach Möglichkeit kompatibel sein, wodurch die GND einem internationalen und spartenübergreifenden Publikum zugänglich gemacht wird. Dieses Dokument dient vor allem zur Beschreibung, wie die GND-Linked-Data-Repräsentation entstand und dem Weg zur Spezifikation einer eignen Ontologie. Hierfür werden nach einer kurzen Einführung in die GND die Grundprinzipien und wichtigsten Standards für die Veröffentlichung von Linked Data im Semantic Web vorgestellt, um darauf aufbauend existierende Vokabulare und Ontologien des Bibliothekswesens betrachten zu können. Anschließend folgt ein Exkurs in das generelle Vorgehen für die Bereitstellung von Linked Data, wobei die so oft zitierte Open World Assumption kritisch hinterfragt und damit verbundene Probleme insbesondere in Hinsicht Interoperabilität und Nachnutzbarkeit aufgedeckt werden. Um Probleme der Interoperabilität zu vermeiden, wird den Empfehlungen der Library Linked Data Incubator Group [LLD11] gefolgt.

Content

Vgl. auch die GND-Modellierung unter: http://d-nb.info/standards/elementset/gnd#.

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Date

13.12.2017 14:17:22

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Abstract

Diese Handreichung soll als Einstieg für Wissenschaftlerinnen und Wissenschaftler, die mit digitalen Daten arbeiten, sowie für alle an dieser Thematik Interessierten dienen und bietet darüber hinaus Hinweise zu weiterführender Information. Sie wurde von der Arbeitsgruppe "Forschungsdaten" der Schwerpunktinitiative "Digitale Information" der Allianz der deutschen Wissenschaftsorganisationen verfasst. Mit dieser Publikation, die als Einstieg für Wissenschaftlerinnen und Wissenschaftler, die mit digitalen Daten arbeiten, sowie für alle an dieser Thematik Interessierten dienen soll, ergänzt die AG Forschungsdaten die Serie von Handreichungen zu den verschiedenen Themenfeldern der Schwerpunktinitiative "Digitale Information" der Allianz der deutschen Wissenschaftsorganisationen. Neben grundlegenden Hinweisen zum Forschungsdatenmanagement bietet sie Hinweise zu weiterführender Information. Online-Version unter der Creative-Commons-Lizenz "Namensnennung" (CC-BY).

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Abstract

In this paper, we describe in detail the Information Content Evaluation Map (ICE-Map Visualization, formerly referred to as IC Difference Analysis). The ICE-Map Visualization is a visual data mining approach for all kinds of concept hierarchies that uses statistics about the concept usage to help a user in the evaluation and maintenance of the hierarchy. It consists of a statistical framework that employs the the notion of information content from information theory, as well as a visualization of the hierarchy and the result of the statistical analysis by means of a treemap.

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Date

22. 3.2018 17:30:43

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Editor

Schwerpunktinitiative "Digitale Information" der Allianz der deutschen Wissenschaftsorganisationen

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Abstract

"Europeana.eu is about ideas and inspiration. It links you to 6 million digital items." This is the opening statement taken from the Europeana WWW-site (http://www.europeana.eu/portal/aboutus.html), and it clearly is concerned with the mission of Europeana - without, however, being over-explicit as to the precise nature of that mission. Europeana's current logo, too, has a programmatic aspect: the slogan "Think Culture" clearly again is related to Europeana's mission and at same time seems somewhat closer to the point: 'thinking' culture evokes notions like conceptualisation, reasoning, semantics and the like. Still, all this remains fragmentary and insufficient to actually clarify the functional scope and mission of Europeana. In fact, the author of the present contribution is convinced that Europeana has too often been described in terms of sheer quantity, as a high volume aggregation of digital representations of cultural heritage objects without sufficiently stressing the functional aspects of this endeavour. This conviction motivates the present contribution on some of the essential functional aspects of Europeana making clear that such a contribution - even if its author is deeply involved in building Europeana - should not be read as an official statement of the project or of the European Commission (which it is not!) - but as the personal statement from an information science perspective! From this perspective the opening statement is that Europeana is much more than a machine for mechanical accumulation of object representations but that one of its main characteristics should be to enable the generation of knowledge pertaining to cultural artefacts. The rest of the paper is about the implications of this initial statement in terms of information science, on the way we technically prepare to implement the necessary data structures and functionality and on the novel functionality Europeana will offer based on these elements and which go well beyond the 'traditional' digital library paradigm. However, prior to exploring these areas it may be useful to recall the notion of 'knowledge' that forms the basis of this contribution and which in turn is part of the well known continuum reaching from data via information and knowledge to wisdom.