Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/iswc2012/proceedings-1/paper-14> ?p ?o. }
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- paper-14 type InProceedings.
- paper-14 label "Online Unsupervised Coreference Resolution for Semi-Structured Heterogeneous Data".
- paper-14 sameAs paper-14.
- paper-14 abstract "A pair of RDF instances are said to corefer when they are intended to denote the same thing in the world, for example, when two nodes of type foaf:Person describe the same individual. This problem is central to integrating and inter-linking semi-structured datasets. We are developing an online, unsupervised coreference resolution framework for heterogeneous, semi-structured data. The online aspect requires us to process new instances as they appear and not as a batch. The instances are heterogeneous in that they may contain terms from different ontologies whose alignments are not known in advance. Our framework encompasses a two-phased clustering algorithm that is both flexible and distributable, a probabilistic multidimensional attribute model that will support robust schema mappings, and a consolidation algorithm that will be used to perform instance consolidation in order to improve accuracy rates over time by addressing data sparseness.".
- paper-14 hasAuthorList authorList.
- paper-14 isPartOf proceedings-1.
- paper-14 title "Online Unsupervised Coreference Resolution for Semi-Structured Heterogeneous Data".