Selected papers.csv This file lists all selected survey papers used to create the knowledge graph. The file contains paper titles, table references (of the tables that are extracted), sources and the reference to the survey paper (either a DOI, or a full textual reference) ORKG comparisons.csv All comparisons imported in the ORKG are listed in this file. Per survey paper, multiple tables could be extracted, and therefore multiple comparisons are created. The files lists the internal IDs and the URL to the comparisons. Ingested papers.csv A full list of all individual papers extracted from the survey articles. The file contains paper titles and their respective URL in the ORKG
Associated data for the ESWC'21 submission "CSKG: The CommonSense Knowledge Graph". Contents: 1. `cs...
The dataset accompanying our paper "Personalised Learning Environments Based on Knowledge Graphs and...
In this paper, we present a preliminary approach that uses a set of NLP and Deep Learning methods fo...
This file contains the set of selected survey papers for populating a scholarly knowledge graph. Thi...
This archive contain all the files needed to instantiate a scholarly graph interconnecting literatur...
This dataset contains a sample of Knowledge Graph (KG) created with TecKnoGraph. There are two file...
This dataset contains a sample of Knowledge Graph (KG) created with TecKnoGraph. There are two file...
This item has data related to the paper A systematic review on uncalibrated visual servoing.The file...
- CSV with the raw data extracted from abstract + full-text review from the selected articles. - CS...
This dataset contains a sample of Knowledge Graph (KG) created with TecKnoGraph. There are two fi...
- CSV with the raw data extracted from abstract + full-text review from the selected articles. - CS...
This dataset contains a sample of Knowledge Graph (KG) created with TecKnoGraph. There are two file...
The ever-increasing number of published scholarly articles imposes significant challenges in organiz...
Nowadays, scientific articles are mostly published as PDF files containing unstructured and semi-str...
This dataset includes metadata for academic publications used in the article Knowledge does not expl...
Associated data for the ESWC'21 submission "CSKG: The CommonSense Knowledge Graph". Contents: 1. `cs...
The dataset accompanying our paper "Personalised Learning Environments Based on Knowledge Graphs and...
In this paper, we present a preliminary approach that uses a set of NLP and Deep Learning methods fo...
This file contains the set of selected survey papers for populating a scholarly knowledge graph. Thi...
This archive contain all the files needed to instantiate a scholarly graph interconnecting literatur...
This dataset contains a sample of Knowledge Graph (KG) created with TecKnoGraph. There are two file...
This dataset contains a sample of Knowledge Graph (KG) created with TecKnoGraph. There are two file...
This item has data related to the paper A systematic review on uncalibrated visual servoing.The file...
- CSV with the raw data extracted from abstract + full-text review from the selected articles. - CS...
This dataset contains a sample of Knowledge Graph (KG) created with TecKnoGraph. There are two fi...
- CSV with the raw data extracted from abstract + full-text review from the selected articles. - CS...
This dataset contains a sample of Knowledge Graph (KG) created with TecKnoGraph. There are two file...
The ever-increasing number of published scholarly articles imposes significant challenges in organiz...
Nowadays, scientific articles are mostly published as PDF files containing unstructured and semi-str...
This dataset includes metadata for academic publications used in the article Knowledge does not expl...
Associated data for the ESWC'21 submission "CSKG: The CommonSense Knowledge Graph". Contents: 1. `cs...
The dataset accompanying our paper "Personalised Learning Environments Based on Knowledge Graphs and...
In this paper, we present a preliminary approach that uses a set of NLP and Deep Learning methods fo...