-
Balakrishnan, U.; Voß, J.: ¬The Cocoda mapping tool (2015)
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- Abstract
- Since the 90s, we have seen an explosion of information and with it there is an increase in the need for data and information aggregation systems that store and manage information. However, most of the information sources apply different Knowledge Organizations Systems (KOS) to describe the content of stored data. This heterogeneous mix of KOS in different systems complicate access and seamless sharing of information and knowledge. Concordances also known as cross-concordances or terminology mappings map different (KOS) to each other for improvement of information retrieval in such heterogeneous mix of systems. (Mayr 2010, Keil 2012). Also for coherent indexing with different terminologies, mappings are considered to be a valuable and essential working tool. However, despite efforts at standardization (e.g. SKOS, ISO 25964-2, Keil 2012, Soergel 2011); there is a significant scarcity of concordances that has led an inability to establish uniform exchange formats as well as methods and tools for maintaining mappings and making them easily accessible. This is particularly true in the field of library classification schemes. In essence, there is a lack of infrastructure for provision/exchange of concordances, their management and quality assessment as well as tools that would enable semi-automatic generation of mappings. The project "coli-conc" therefore aims to address this gap by creating the necessary infrastructure. This includes the specification of a data format for exchange of concordances (JSKOS), specification and implementation of web APIs to query concordance databases (JSKOS-API), and a modular web application to enable uniform access to knowledge organization systems, concordances and concordance assessments (Cocoda).
The focus of the project "coli-conc" lies in semi-automatic creation of mappings between different KOS in general and the two important library classification schemes in particular - Dewey classification system (DDC) and Regensburg classification system (RVK). In the year 2000, the national libraries of Germany, Austria and Switzerland adopted DDC in an endeavor to develop a nation-wide classification scheme. But historically, in the German speaking regions, the academic libraries have been using their own home-grown systems, the most prominent and popular being the RVK. However, with the launch of DDC, building concordances between DDC and RVK has become an imperative, although it is still rare. The delay in building comprehensive concordances between these two systems has been because of major challenges posed by the sheer largeness of these two systems (38.000 classes in DDC and ca. 860.000 classes in RVK), the strong disparity in their respective structure, the variation in the perception and representation of the concepts. The challenge is compounded geometrically for any manual attempt in this direction. Although there have been efforts on automatic mappings (OAEI Library Track 2012 -- 2014 and e.g. Pfeffer 2013) in the recent years; such concordances carry the risks of inaccurate mappings, and the approaches are rather more suitable for mapping suggestions than for automatic generation of concordances (Lauser 2008; Reiner 2010). The project "coli-conc" will facilitate the creation, evaluation, and reuse of mappings with a public collection of concordances and a web application of mapping management. The proposed presentation will give an introduction to the tools and standards created and planned in the project "coli-conc". This includes preliminary work on DDC concordances (Balakrishnan 2013), an overview of the software concept, technical architecture (Voß 2015) and a demonstration of the Cocoda web application.
- Theme
- Semantische Interoperabilität
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Voß, J.: ¬Das Simple Knowledge Organisation System (SKOS) als Kodierungs- und Austauschformat der DDC für Anwendungen im Semantischen Web (2007)
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- Theme
- Semantic Web
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Voß, J.: Vom Social Tagging zum Semantic Tagging (2008)
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- Abstract
- Social Tagging als freie Verschlagwortung durch Nutzer im Web wird immer häufiger mit der Idee des Semantic Web in Zusammenhang gebracht. Wie beide Konzepte in der Praxis konkret zusammenkommen sollen, bleibt jedoch meist unklar. Dieser Artikel soll hier Aufklärung leisten, indem die Kombination von Social Tagging und Semantic Web in Form von Semantic Tagging mit dem Simple Knowledge Organisation System dargestellt und auf die konkreten Möglichkeiten, Vorteile und offenen Fragen der Semantischen Indexierung eingegangen wird.
- Theme
- Semantic Web
-
Voß, J.; Hellmich, J.: »Am Kerngeschäft der Bibliothekare kann sich plötzlich jeder beteiligen« (2007)
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- Abstract
- Der Wikipedia-Experte Jakob Voß plädiert dafür, Opacs mit Inhalten aus Wikis, Weblogs und Bookmarking-Diensten anzureichern Auf dem Leipziger Bibliothekskongress hat Jakob Voß einen Vortrag zum Thema »Soziale Software - Hype oder Verheißung?« gehalten - und damit eine der bestbesuchten Veranstaltungen eingeleitet. Der 28-Jährige hat Informatik, Bibliothekswissenschaft und Philosophie in Chemnitz und Berlin studiert und arbeitet als Entwickler beim Gemeinsamen Bibliotheksverbund GBV in Göttingen. Seit 2002 gehörter zum Vorstand von Wikimedia Deutschland, einem »Verein zur Förderung des freien Wissens«, dessen prominentestes Förderprojekt die Web-Enzyklopädie Wikipedia ist. BuB-Redakteurin Julia Hellmich hat Jakob Voß in Leipzig interviewt.
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Balakrishnan, U.; Voß, J.; Soergel, D.: Towards integrated systems for KOS management, mapping, and access : Coli-conc and its collaborative computer-assisted KOS mapping tool Cocoda (2018)
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- Theme
- Semantische Interoperabilität
-
Voß, J.; Ledl, A.: Describing knowledge organization systems in BARTOC and JSKOS (2016)
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- Theme
- Semantische Interoperabilität
-
Balakrishnan, U.; Peters, S.; Voß, J.: Coli-conc : eine Infrastruktur zur Nutzung und Erstellung von Konkordanzen (2021)
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- Theme
- Semantische Interoperabilität
-
Danowski, P.; Voß, J.: Wikipedia sammelt Metadaten (2005)
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- Abstract
- Im Rahmen der Vorbereitung auf die Wikipedia-DVD, die zur Buchmesse in Leipzig erscheinen soll, wurden fast 30.000 Artikel der freien Enzyklopädie Wikipedia mit Personendaten versehen. Damit sind die biographischen Artikel erstmals mit strukturierten Metadaten versehen, die wie alle Inhalte des Projekts unter den Bedingungen der GFDL frei weiterverwendet werden können. Die Personendaten umfassen Angaben zu Namen, Geburtsdatum, Geburtsort, Sterbedatum und Sterbeort. Gleichzeitig wird eine Kurzbeschreibung zu den einzelnen Personen gespeichert. Bisher waren diese Daten nur im Fließtext und Personennamen nur in der Form "Vorname Nachname" abgespeichert. Da auf der DVD jedoch eine gezielte Suche nach Personen möglich sein soll, müssen die Namen und anderen Angaben einheitlich, wie es in bibliothekarischen Datenbanken die Regel ist, in der Form "Nachname, Vorname" angesetzt werden. Ziel der Sammlung von Personendaten ist die dokumentarische Erschließung aller biographischen Artikel. Da wie an der gesamten Wikipedia viele Freiwillige an diesem Prozess beteiligt sind, entsprechen die Ergebnisse sicherlich noch nicht professionellen Regelwerken wie RAK. Sie sind ein erster Schritt um die Wikipedia besser automatisch weiterverwendbar zu machen und somit neue Möglichkeiten der Anwendung zu erschließen. Die Personendaten wurden zum größten Teil in einer vom Verlag Directmedia Publishing ausgerichteten "Tagging-Party" vom 28. bis 30. Januar mit Hilfe eines selbst entwickelten Softwaretools direkt in Online-Enzyklopädie eingetragen. Dazu wurden alle Artikel angeschaut und Fehler in den Datenfeldern korrigiert. Die Strukturierung der Personendaten könnte noch wesentlich durch bestehende bibliothekarische Datenbanken wie die Personennormdatei (PND) verbessert werden. Bibliotheken könnten im Gegenzug die Informationen aus der Wikipedia zur Kataloganreicherung nutzen - beispielsweise zur Anzeige von Kurzbiographien zu einzelnen Autoren. Auch weitere Kooperationsmöglichkeiten sind denkbar. Bei Interesse können Sie sich an Jakob Voss oder Patrick Danowski wenden.
-
Voß, J.: Classification of knowledge organization systems with Wikidata (2016)
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- Pages
- S.15-22
