By Victoria Nebot, Rafael Berlanga, Juan Manuel Pérez (auth.), Stefano Spaccapietra, Esteban Zimányi, Il-Yeol Song (eds.)
The LNCS magazine on information Semantics is dedicated to the presentation of amazing paintings that, in a single approach or one other, addresses learn and improvement on concerns relating to info semantics. The scope of the magazine levels from theories helping the formal definition of semantic content material to cutting edge domain-specific purposes of semantic wisdom. The magazine addresses researchers and complex practitioners engaged on the semantic internet, interoperability, cellular info prone, information warehousing, wisdom illustration and reasoning, conceptual database modeling, ontologies, and synthetic intelligence.
Volume XIII constitutes a unique factor on semantic facts warehouses. The papers during this quantity deal with numerous subject matters inside this particularly new area, supplying various insights into the a number of merits that may be received through envisioning info warehouses from a semantic viewpoint. those papers broach many new principles to be addressed in destiny paintings.
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This can be a kind of collections of classics that simply will get misplaced one of the multitude of books at the subject, however it remains to be the most effective i have encounter. lots of the classics are right here, Davidson's 'Truth and Meaning', Lewis' 'General Semantics', Kamp's unique presentation of DRT, Groenendijk & Stokhof's 'Dynamic Predicate Logic', Barwise & Perry's 'Situations and Attitudes', Barwise & Cooper's 'Generalized Quantifiers and usual Language' and the difficult to return by way of (except within the ridiculously pricey 'Themes from Kaplan') 'Demonstratives' through Kaplan, to say a number of.
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Additional resources for Journal on Data Semantics XIII
First it can be used to apprehend the modelling of facts and dimension members in a unified way. So a given element can be a fact for a given analysis and a member for another analysis. It can also be used to share the dimensions in various ways and to combine the results of different analyses. In this model we introduce the possibility of specifying various types of constraints which can be applied to facts and to elements of hierarchies. We then show how these constraints can be used to handle complex hierarchies in dimensions and to characterize certain situations where the property of summarizability is respected.
T type Drug_Therapy . drug . person type Patient . report . report type Rheumatology_Report . section . section type Treatment . t . t type Joint_Injections . drug . drug type DrugUMLS } Fig. 8. Translating from OntoPath sub-graphs into SparQL. Notice the OntoPath query results Rheuma matches Drug_Therapy and also in two sub-graphs since the range of has_therapy Joint_Injections, which is a subclass of Drug_Therapy. 28 V. Nebot et al. performed by applying the existing mappings between the domain ontologies.
A triple store such as 3store claims to support efficient processing of RDQL queries and RDF(S) entailments (RDF(S) entailments are not implemented in SparQL, the successor of RDQL). Therefore, it is trivial to translate the OntoPath query of Figure 6 into a set of RDQL queries that use the reasoning capabilities provided to extract the instances. g. a few thousand concepts and properties). Thus, a more long term solution must be devised. The second approach consists of leaving the RDF(S) entailments to OntoPath and use the triple store with the inference capabilities off.