TY  - CHAP
AU  - Hotho, Andreas
AU  - Jäschke, Robert
AU  - Benz, Dominik
AU  - Grahl, Miranda
AU  - Krause, Beate
AU  - Schmitz, Christoph
AU  - Stumme, Gerd
A2  - Blumauer, Andreas
A2  - Pellegrini, Tassilo
T1  - Social Bookmarking am Beispiel BibSonomy
T2  - Social Semantic Web
PB  - Springer
CY  - Berlin, Heidelberg
PY  - 2009/
VL  - 
IS  - 
SP  - 363
EP  - 391
UR  - http://dx.doi.org/10.1007/978-3-540-72216-8_18
M3  - 10.1007/978-3-540-72216-8
KW  - 2009
KW  - bibsonomy
KW  - bookmarking
KW  - myown
KW  - social
KW  - tagorapub
L1  - 
SN  - 978-3-540-72215-1
N1  - SpringerLink - Buchkapitel
N1  - 
AB  - BibSonomy ist ein kooperatives Verschlagwortungssystem (Social Bookmarking System), betrieben vom Fachgebiet Wissensverarbeitung
<p>der Universität Kassel. Es erlaubt das Speichern und Organisieren von Web-Lesezeichen und Metadaten für wissenschaftlichePublikationen. In diesem Beitrag beschreiben wir die von BibSonomy bereitgestellte Funktionalität, die dahinter stehende Architektursowie das zugrunde liegende Datenmodell. Ferner erläutern wir Anwendungsbeispiele und gehen auf Methoden zur Analyse der in BibSonomy und ähnlichen Systemen enthaltenen Daten ein.
ER  -

TY  - CONF
AU  - Markines, Benjamin
AU  - Cattuto, Ciro
AU  - Menczer, Filippo
AU  - Benz, Dominik
AU  - Hotho, Andreas
AU  - Stumme, Gerd
A2  - 
T1  - Evaluating Similarity Measures for Emergent Semantics of Social Tagging
T2  - 18th International World Wide Web Conference
PB  - 
CY  - 
PY  - 2009/04
M2  - 
VL  - 
IS  - 
SP  - 641
EP  - 641
UR  - http://www2009.eprints.org/65/
M3  - 
KW  - 2009
KW  - measure
KW  - myown
KW  - semantics
KW  - similarity
KW  - social
KW  - tagging
KW  - taggingsurvey
KW  - tagorapub
L1  - 
SN  - 
N1  - 
N1  - 
AB  - Social bookmarking systems and their emergent information structures, known as folksonomies, are increasingly important data sources for Semantic Web applications. A key question for harvesting semantics from these systems is how to extend and adapt traditional notions of similarity to folksonomies, and which measures are best suited for applications such as navigation support, semantic search, and ontology learning. Here we build an evaluation framework to compare various general folksonomy-based similarity measures derived from established information-theoretic, statistical, and practical measures. Our framework deals generally and symmetrically with users, tags, and resources. For evaluation purposes we focus on similarity among tags and resources, considering different ways to aggregate annotations across users. After comparing how tag similarity measures predict user-created tag relations, we provide an external grounding by user-validated semantic proxies based on WordNet and the Open Directory. We also investigate the issue of scalability. We ?nd that mutual information with distributional micro-aggregation across users yields the highest accuracy, but is not scalable; per-user projection with collaborative aggregation provides the best scalable approach via incremental computations. The results are consistent across resource and tag similarity.
ER  -

TY  - CONF
AU  - Voss, Jakob
AU  - Hotho, Andreas
AU  - Jäschke, Robert
A2  - Kuhlen, Rainer
T1  - Mapping Bibliographic Records with Bibliographic Hash Keys
T2  - Information: Droge, Ware oder Commons?
PB  - Verlag Werner Hülsbusch
CY  - 
PY  - 2009/
M2  - 
VL  - 
IS  - 
SP  - 
EP  - 
UR  - http://eprints.rclis.org/15953/
M3  - 
KW  - 2009
KW  - duplicate
KW  - fingerprint
KW  - hash
KW  - iteg
KW  - mapping
KW  - myown
KW  - tagorapub
L1  - 
SN  - 
N1  - 
N1  - 
AB  - This poster presents a set of hash keys for bibliographic records called bibkeys. Unlike other methods of duplicate detection, bibkeys can directly be calculated from a set of basic metadata fields (title, authors/editors, year). It is shown how bibkeys are used to map similar bibliographic records in BibSonomy and among distributed library catalogs and other distributed databases.
ER  -