Juma Uplift: Using a Block Metaphor for Representing Uplift Mappings

被引：4

作者：

Crotti, Ademar Junior ^{[1
]}

Debruyne, Christophe ^{[2
]}

O'Sullivan, Declan ^{[1
]}

机构：

[1] Trinity Coll Dublin, ADAPT Ctr, Dublin 2, Ireland

[2] Odisee Univ Coll, B-100 Brussels, Belgium

来源：

2018 IEEE 12TH INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING (ICSC) | 2018年

基金：

爱尔兰科学基金会;

关键词：

Visual Representation; Data Mapping; R2RML; SML;

D O I：

10.1109/ICSC.2018.00037

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A significant part of the Linked Data web is achieved by converting non-RDF resources into RDF. Even though several approaches and mapping languages have been proposed in the literature, the knowledge required for such task is still substantial. In prior work, we proposed a visual representation based on the block metaphor and applied it to R2RML. In this paper, we describe a new implementation of this method, called Juma Uplift. This implementation is capable of generating mapping definitions for different uplift mapping languages while still being fully compliant to the W3C Recommendation R2RML. Preliminary findings indicate that Juma Uplift is expressive enough to generate accurate mappings for the two syntactically distinct mapping languages under examination, R2RML and SML.

引用

页码：211 / 218

页数：8

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