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Identifying equivalent relation paths in knowledge graphs
(Springer Verlag, 2017-06-19)
Relation paths are sequences of relations with inverse that allow for complete exploration of knowledge graphs in a two-way unconstrained manner. They are powerful enough to encode complex relationships between entities ...
Measuring accuracy of triples in knowledge graphs
(Springer, 2017-06-19)
An increasing amount of large-scale knowledge graphs have
been constructed in recent years. Those graphs are often created from
text-based extraction, which could be very noisy. So far, cleaning knowledge
graphs are ...
Mining cardinalities from knowledge bases
(Springer Verlag, 2017-08-01)
Cardinality is an important structural aspect of data that has not received enough attention in the context of RDF knowledge bases (KBs). Information about cardinalities can be useful for data users and knowledge engineers ...
Linking knowledge graphs across languages with semantic similarity and machine translation
(MLP 2017, 2017-09-04)
Knowledge graphs and ontologies underpin many natural language processing applications, and to apply these to new languages, these knowledge graphs must be
translated. Up until now, this has been
achieved either by direct ...
Using drug similarities for discovery of possible adverse reactions
(AMIA, 2017-02-10)
We propose a new computational method for discovery of possible adverse drug reactions. The method consists of two key steps. First we use openly available resources to semi-automatically compile a consolidated data set ...