2017年4月8日 · In this section we propose a possible specification of a simple language called RDFDF whose main purpose is to guarantee the well stratification of data, hence the coherence of reasoning. RDFDF can be considered an extension to regular RDF, however it introduce some new top level concepts making it a new language built on the top of RDF rather ...

Stratifying Semantic Data for Citation and Trust with RDFDF 5 human annotation. Abstract reasoners may easily break well-strati cation. In-tuitively most reasoning tasks and well-engineered human annotation processes should preserve strati cation, however breaking the well-strati cation of data is

RDFDF could be a new level in the Semantic Web stack. Well stratification may be linked data’s sixth star. We are open to discussion and contribution.

This book constitutes the thoroughly refereed proceedings of the 12th Italian Research Conference on Digital Libraries, IRCDL 2016, held in Firence, Italy, in February 2016.

Unlike rdfpandas which requires URIRefs as column headers (and otherwise just creates invalid RDF with e.g. literals as predicates), rdfdf computes URIRefs (or Literals for triple objects) based on rules. \n

RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information. Evolutionary Graph Pattern Learner that learns SPARQL queries for a given set of …

We evaluate the effect of the singleton property triples in the reasoning processes by comparing the performance on RDF datasets with and without singleton properties. Our evaluation uses as benchmark the LUBM datasets and the LUBM-SP datasets derived from LUBM with temporal information added through singleton properties.

Stratifying Semantic Data for Citation and Trust: An Introduction to RDFDF. scholarly article published in 2017. Statements. instance of. scholarly article. 0 references. title. Stratifying Semantic Data for Citation and Trust: An Introduction to …

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In this paper we discuss a simple framework to satisfy data citation requirements leveraging on the stratification of linked data, which basically means providing a separation between proper data and metainformation.