By Mohammad G. Dezfuli, Mostafa S. Haghjoo (auth.), Eyke Hüllermeier, Sebastian Link, Thomas Fober, Bernhard Seeger (eds.)
ISBN-10: 3642333613
ISBN-13: 9783642333613
ISBN-10: 3642333621
ISBN-13: 9783642333620
This e-book constitutes the refereed court cases of the sixth foreign convention on Scalable Uncertainty administration, SUM 2012, held in Marburg, Germany, in September 2012. The forty-one revised complete papers and thirteen revised brief papers have been rigorously reviewed and chosen from seventy five submissions. The papers disguise subject matters in all parts of handling and reasoning with titanic and intricate sorts of doubtful, incomplete or inconsistent info together with functions in determination aid platforms, laptop studying, negotiation applied sciences, semantic net purposes, se's, ontology structures, details retrieval, typical language processing, info extraction, snapshot popularity, imaginative and prescient structures, information and textual content mining, and the honor of matters comparable to provenance, belief, heterogeneity, and complexity of knowledge and knowledge.
Read Online or Download Scalable Uncertainty Management: 6th International Conference, SUM 2012, Marburg, Germany, September 17-19, 2012. Proceedings PDF
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Additional info for Scalable Uncertainty Management: 6th International Conference, SUM 2012, Marburg, Germany, September 17-19, 2012. Proceedings
Example text
1). 3. 95 . 1). 3 0 Hence, even for low thresholds the tuple does not occur in the answer table. 6 Related Work The notion of answering queries in a flexible and user-oriented manner has been investigated for a long time; see [12] for some recent examples and [21] for an Applications of Ordinal Ranks to Flexible Query Answering 27 extensive study on fuzzy querying (and a query language called SQLf). Other related work of Bosc et al considers extending the support of a fuzzy membership function in order to weaken fuzzy conditions in a query [4] where a tolerance relation can be used to flexibly model closeness in a domain.
There is no “ad hoc” ranking module attached on top of the classic model. The classic model results from the model used here by a particular choice of the structure of ranks. Namely, if the structure is bivalent (the two-valued Boolean algebra), our model becomes the ordinary model with yes/no matches. Ranked data tables are used instead of the classic data tables as the basic structures and represent both the results of queries and stored data. Each ranked data table D (an RDT) is a map assigning to each tuple r ∈ Tupl(R) a rank denoted D(r).
Hence, uncertainty-tolerant repairs are called for. Below, we recapitulate the definition of partial and total repairs in [20]. They are uncertainty-tolerant since some violations may persist after partial repairs. But they may not preserve integrity. 34 A. Cuzzocrea et al. Definition 3. (Repair) For a triple (D, IC , U ), let S be a subset of IC such that D(S) = false. An update U is called a repair of S in D if DU (S) = true. If DU (IC ) = false, U is also called a partial repair of IC in D. Otherwise, if DU (IC ) = true, U is called a total repair of IC in D.
Scalable Uncertainty Management: 6th International Conference, SUM 2012, Marburg, Germany, September 17-19, 2012. Proceedings by Mohammad G. Dezfuli, Mostafa S. Haghjoo (auth.), Eyke Hüllermeier, Sebastian Link, Thomas Fober, Bernhard Seeger (eds.)
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