91 citations
- L3S Research CenterDE40 papers
- Leibniz University HannoverDE34 papers
- University of BonnDE8 papers
- FIZ Karlsruhe – Leibniz Institute for Information InfrastructureDE3 papers
- Heidelberg UniversityDE3 papers
- Institut Mihajlo PupinRS3 papers
- Universidad Politécnica de MadridES3 papers
- University of BelgradeRS3 papers
- Fraunhofer Institute for Intelligent Analysis and Information SystemsDE2 papers
- Leibniz-Institut für WissensmedienDE2 papers
- National and Kapodistrian University of AthensGR2 papers
- Technische Universität BraunschweigDE2 papers
14 papers · 1 filter
Creating a Scholarly Knowledge Graph from Survey Article Tables
Allard Oelen, Markus Stocker, Sören Auer
Due to the lack of structure, scholarly knowledge remains hardly accessible for machines. Scholarly knowledge graphs have been proposed as a solution. Creating such a knowledge gra…
Sentence, Phrase, and Triple Annotations to Build a Knowledge Graph of Natural Language Processing Contributions -- A Trial Dataset
Jennifer D'Souza, Sören Auer
Purpose: The aim of this work is to normalize the NLPCONTRIBUTIONS scheme (henceforward, NLPCONTRIBUTIONGRAPH) to structure, directly from article sentences, the contributions info…
MLM: A Benchmark Dataset for Multitask Learning with Multiple Languages and Modalities
Jason Armitage, Endri Kacupaj, Golsa Tahmasebzadeh +4
In this paper, we introduce the MLM (Multiple Languages and Modalities) dataset - a new resource to train and evaluate multitask systems on samples in multiple modalities and three…
SDM-RDFizer: An RML Interpreter for the Efficient Creation of RDF Knowledge Graphs
Enrique Iglesias, Samaneh Jozashoori, David Chaves-Fraga +2
In recent years, the amount of data has increased exponentially, and knowledge graphs have gained attention as data structures to integrate data and knowledge harvested from myriad…
FunMap: Efficient Execution of Functional Mappings for Knowledge Graph Creation
Samaneh Jozashoori, David Chaves-Fraga, Enrique Iglesias +2
Data has exponentially grown in the last years, and knowledge graphs constitute powerful formalisms to integrate a myriad of existing data sources. Transformation functions -- spec…
Operational Research Literature as a Use Case for the Open Research Knowledge Graph
Mila Runnwerth, Markus Stocker, Sören Auer
The Open Research Knowledge Graph (ORKG) provides machine-actionable access to scholarly literature that habitually is written in prose. Following the FAIR principles, the ORKG mak…