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PALADIN: Benchmarks, Experimental Settings, and Evaluation
This collection includes all the data and scripts necessary to reproduce the results from the experimental study of PALADIN. Data The data is generated using the Synthetic Data... -
WN18RR Benchmark
WN18RR is a link prediction dataset created from WN18, which is a subset of WordNet. WN18 consists of 18 relations and 40,943 entities. However, many text triples are obtained... -
SPaRKLE: Symbolic caPtuRing of knowledge for Knowledge graph enrichment with ...
SPaRKLE is a hybrid method that combines symbolic and mathematical methodologies while leveraging Partial Completness Assumption (PCA) heuristics to capture implicit information... -
FB15k-237 Benchmark
FB15k-237 is a link prediction dataset created from FB15k. While FB15k consists of 1,345 relations, 14,951 entities, and 592,213 triples, many triples are inverses that cause... -
A Benchmark Suite for Federated Semantic Data Query Processing (FedBench)
A comprehensive benchmark suite for testing and analyzing the performance of federated query processing strategies on semantic data. This benchmark is flexible enough to cover a... -
Berlin SPARQL Benchmark (BSBM)
The SPARQL Query Language for RDF and the SPARQL Protocol for RDF are implemented by a growing number of storage systems and are used within enterprise and open web settings. As... -
The Lehigh University Benchmark (LUBM)
The Lehigh University Benchmark is developed to facilitate the evaluation of Semantic Web repositories in a standard and systematic way. The benchmark is intended to evaluate... -
Waterloo SPARQL Diversity Test Suite (WatDiv) Benchmark
WatDiv is a benchmark designed to measure how an RDF data management system performs across a wide spectrum of SPARQL queries with varying structural characteristics and... -
Leibniz University Hannover
Imported
Trav-SHACL: Benchmarks, Experimental Settings, and Evaluation
This collection includes all the data and scripts necessary to reproduce the results from the experimental evaluation of Trav-SHACL at WWW'21. The data is modified data from the... -
FB15k (Freebase 15K)
The FB15k dataset contains knowledge base relation triples and textual mentions of Freebase entity pairs. It has a total of 592,213 triplets with 14,951 entities and 1,345... -
TracedSPARQL Benchmarks
This collection includes the data necessary to reproduce the results reported in the experimental evaluation of TracedSPARQL. The code and additional scripts for the evaluation... -
Understanding the Requirements of Data Spaces in the Energy Sector- MA Thesis...
This dataset has no description
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thiessen-2023-1
IsSupplementTo: https://ceur-ws.org/Vol-3510/paper_nlp_2.pdf; IsSourceOf: https://doi.org/10.48366/R661500 -
Leibniz University Hannover
Imported
STEM-NER-60k
A Large-scale Dataset of STEM Science as PROCESS, METHOD, MATERIAL, and DATA Named Entities This repository hosts data as a follow-up study to the following publications... -
Leibniz University Hannover
Imported
STEM-ECR-v1.0
Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources The STEM ECR v1.0 dataset has been developed to provide... -
Leibniz University Hannover
Imported
SlideImages
Please note: this archive requires support for dangling symlinks, which excludes the Windows operating system. To use this dataset, you will need to download the MS COCO 2017... -
Leibniz University Hannover
Imported
SaL - Dataset
If you use our data please cite this submission: @inproceedings{DBLP:conf/chiir/OttoRPGH0HHDHKE22, author = {Christian Otto and Markus Rokicki and... -
Leibniz University Hannover
Imported
First NFDI4Chem User Survey
NFDI4Chem Online Survey 2019 Dataset In preparation of the NFDI4Chem proposal for the National Research Data Infrastructure in 2019 the NFDI4Chem team conducted a online survey... -
Leibniz University Hannover
Imported
A Neural Approach for Text Extraction from Scholarly Figures
A Neural Approach for Text Extraction from Scholarly Figures This is the readme for the supplemental data for our ICDAR 2019 paper. You can read our paper via IEEE here:...
