论文信息 - BIBSURF — Discover bibliographic entities by searching for units of interest, ranking and filtering

BIBSURF — Discover bibliographic entities by searching for units of interest, ranking and filtering

BIBSURF is a system demonstrating search, ranking and filtering of bibliographic RDF data that is organized in form of entities representing intellectual endeavor at different levels of abstraction: item, manifestation, expression, work.

Maja Zumer | Trond Aalberg | Tanja Mercun

[1] Maja Zumer,et al. FrbrVis: An Information Visualization Approach to Presenting FRBR Work Families , 2012, TPDL.

[2] Leo Sauermann,et al. The Sesame LuceneSail : RDF Queries with Full-text Search NEPOMUK Technical Report 2008-1 , 2008 .

[3] Krzysztof Sielski,et al. Methodology for Dynamic Extraction of Highly Relevant Information Describing Particular Object from Semantic Web Knowledge Base , 2013, TPDL.

[4] Deborah L. McGuinness,et al. Tracking RDF Graph Provenance using RDF Molecules , 2005 .

[5] Maja Žumer,et al. Introducing the FRBR Library Reference Model , 2015 .

[6] Zorana Ercegovac,et al. Multiple-version resources in digital libraries: Towards user-centered displays , 2006, J. Assoc. Inf. Sci. Technol..

[7] Feifei Li,et al. Scalable Keyword Search on Large RDF Data , 2014, IEEE Transactions on Knowledge and Data Engineering.

[8] Zorana Ercegovac. Multiple-version resources in digital libraries: Towards user-centered displays: Research Articles , 2006 .