dc.contributor.author | Nováček, Vít | en |
dc.contributor.author | Decker, Stefan | en |
dc.date.accessioned | 2009-11-27T16:35:07Z | en |
dc.date.available | 2009-11-27T16:35:07Z | en |
dc.date.issued | 2009 | en |
dc.identifier.citation | Vit Novacek, Stefan Decker "Abraham Bernstein et al. (editors) "Towards Lightweight and Robust Large Scale Emergent Knowledge Processing", Proceedings of ISWC 2009, Springer, 2009. | en |
dc.identifier.uri | http://hdl.handle.net/10379/448 | en |
dc.description.abstract | We present a lightweight framework for processing uncertain
emergent knowledge that comes from multiple resources with varying
relevance. The framework is essentially RDF-compatible, but allows also
for direct representation of contextual features (e.g., provenance). We
support soft integration and robust querying of the represented content
based on well-founded notions of aggregation, similarity and ranking. A
proof-of-concept implementation is presented and evaluated within large
scale knowledge-based search in life science articles. | en |
dc.format | application/pdf | en |
dc.language.iso | en | en |
dc.publisher | Springer | en |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Ireland | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/ie/ | |
dc.subject.lcsh | Knowledge management | en |
dc.subject.lcsh | Information technology | en |
dc.subject.lcsh | Life sciences | en |
dc.title | Towards Lightweight and Robust Large Scale Emergent Knowledge Processing | en |
dc.type | Conference Paper | en |
dc.local.publishedsource | http://dx.doi.org/10.1007/978-3-642-04930-9 | en |
dc.local.publisherstatement | The original publication is available at www.springerlink.com | en |
dc.description.peer-reviewed | peer-reviewed | en |
dc.contributor.funder | Science Foundation Ireland | en |
nui.item.downloads | 365 | |