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1 to 10 of 10 Results

Code and benchmark for NPCS, a Native Provenance Computation for SPARQL Feb 21, 2024 Asma, Zubaria; Hernández, Daniel; Galárraga, Luis; Flouris, Giorgos; Fundulaki, Irini; Hose, Katja, 2024, "Code and benchmark for NPCS, a Native Provenance Computation for SPARQL", https://doi.org/10.18419/darus-3973, DaRUS, V1 Code for the implementation and benchmark of NPCS, a Native Provenance Computation for SPARQL. The code in this dataset includes the implementation of the NPCS system, which is a middleware for SPARQL endpoints that rewrites queries to queries that annotate answers with provenanc...
Code for From Shapes to Shapes Feb 16, 2024 Seifer, Philipp; Hernández, Daniel; Lämmel, Ralf; Staab, Steffen, 2024, "Code for From Shapes to Shapes", https://doi.org/10.18419/darus-3977, DaRUS, V1 This dataset contains the implementation code for an algorithm to infer SHACL shapes that the graph returned by an SPARQL CONSTRUCT query must satisfy if the input satisfies a given set of SHACL shapes. This dataset also includes an evaluation for the algorithm. The algorithm imp...
CNVVE Dataset clean audio samples Feb 13, 2024 Hedeshy, Ramin; Menges, Raphael; Staab, Steffen, 2024, "CNVVE Dataset clean audio samples", https://doi.org/10.18419/darus-3898, DaRUS, V1 This CNVVE Dataset contains clean audio samples encompassing six distinct classes of voice expressions, namely “Uh-huh” or “mm-hmm”, “Uh-uh” or “mm-mm”, “Hush” or “Shh”, “Psst”, “Ahem”, and Continuous humming, e.g., “hmmm.” Audio samples of each class are found in the respective...
Code for Training and Testing CNVVE Feb 13, 2024 Hedeshy, Ramin; Menges, Raphael; Staab, Steffen, 2024, "Code for Training and Testing CNVVE", https://doi.org/10.18419/darus-3896, DaRUS, V1 This dataset consists of files used for training and testing the CNVVE Dataset. This dataset consists of 950 audio samples encompassing six distinct classes of voice expressions. These expressions were collected from 42 generous individuals who donated their voice recordings for...
Raw audio samples of the CNVVE dataset Feb 13, 2024 Hedeshy, Ramin; Menges, Raphael; Staab, Steffen, 2024, "Raw audio samples of the CNVVE dataset", https://doi.org/10.18419/darus-3897, DaRUS, V1 This CNVVE Dataset contains raw audio samples encompassing six distinct classes of voice expressions, namely “Uh-huh” or “mm-hmm”, “Uh-uh” or “mm-mm”, “Hush” or “Shh”, “Psst”, “Ahem”, and Continuous humming, e.g., “hmmm.” Audio samples of each class are found in the respective fo...
Data for: NILK, entity linking dataset targeting NIL-linking cases Jun 29, 2023 - NILK Iurshina, Anastasiia; Pan, Jiaxin; Boutalbi, Rafika; Staab, Steffen, 2023, "Data for: NILK, entity linking dataset targeting NIL-linking cases", https://doi.org/10.18419/darus-3454, DaRUS, V1 A dataset for the NIL-detection and NIL-disambiguation tasks. The NILK dataset has two main features: 1) It marks NIL-mentions for NIL-detection by extracting mentions which belong to newly added entities in Wikipedia text. 2) It provides an entity label for NIL-disambiguation by...
NILK(Universität Stuttgart) Jun 27, 2023
Website Screenshot to Eye-Gaze Nov 17, 2022 - Udeco-EyeGaze Aspandi Latif, Decky, 2022, "Website Screenshot to Eye-Gaze", https://doi.org/10.18419/darus-3251, DaRUS, V1 This dataset contains unified datasets that consist of two pre-processed datasets of Gaze-Mining and Contrastive-Website to allow for the development of Machine Learning based model Eye-Gaze location predictions using Website Screenshot Input.
Udeco-EyeGaze(Universität Stuttgart) Nov 7, 2022
Wikidated(Universität Stuttgart) Apr 5, 2022 This dataverse contains Wikidated. Its initial release is described in Schmelzeisen, Dima, Staab (2021). Wikidated 1.0: An Evolving Knowledge Graph Dataset of Wikidata’s Revision History. Wikidata@ISWC. For more information, visit w3id.org/wikidated/.

Code and benchmark for NPCS, a Native Provenance Computation for SPARQL

Feb 21, 2024

Asma, Zubaria; Hernández, Daniel; Galárraga, Luis; Flouris, Giorgos; Fundulaki, Irini; Hose, Katja, 2024, "Code and benchmark for NPCS, a Native Provenance Computation for SPARQL", https://doi.org/10.18419/darus-3973, DaRUS, V1

Code for the implementation and benchmark of NPCS, a Native Provenance Computation for SPARQL. The code in this dataset includes the implementation of the NPCS system, which is a middleware for SPARQL endpoints that rewrites queries to queries that annotate answers with provenanc...

Code for From Shapes to Shapes

Feb 16, 2024

Seifer, Philipp; Hernández, Daniel; Lämmel, Ralf; Staab, Steffen, 2024, "Code for From Shapes to Shapes", https://doi.org/10.18419/darus-3977, DaRUS, V1

This dataset contains the implementation code for an algorithm to infer SHACL shapes that the graph returned by an SPARQL CONSTRUCT query must satisfy if the input satisfies a given set of SHACL shapes. This dataset also includes an evaluation for the algorithm. The algorithm imp...

CNVVE Dataset clean audio samples

Feb 13, 2024

Hedeshy, Ramin; Menges, Raphael; Staab, Steffen, 2024, "CNVVE Dataset clean audio samples", https://doi.org/10.18419/darus-3898, DaRUS, V1

This CNVVE Dataset contains clean audio samples encompassing six distinct classes of voice expressions, namely “Uh-huh” or “mm-hmm”, “Uh-uh” or “mm-mm”, “Hush” or “Shh”, “Psst”, “Ahem”, and Continuous humming, e.g., “hmmm.” Audio samples of each class are found in the respective...

Code for Training and Testing CNVVE

Feb 13, 2024

Hedeshy, Ramin; Menges, Raphael; Staab, Steffen, 2024, "Code for Training and Testing CNVVE", https://doi.org/10.18419/darus-3896, DaRUS, V1

This dataset consists of files used for training and testing the CNVVE Dataset. This dataset consists of 950 audio samples encompassing six distinct classes of voice expressions. These expressions were collected from 42 generous individuals who donated their voice recordings for...

Raw audio samples of the CNVVE dataset

Feb 13, 2024

Hedeshy, Ramin; Menges, Raphael; Staab, Steffen, 2024, "Raw audio samples of the CNVVE dataset", https://doi.org/10.18419/darus-3897, DaRUS, V1

This CNVVE Dataset contains raw audio samples encompassing six distinct classes of voice expressions, namely “Uh-huh” or “mm-hmm”, “Uh-uh” or “mm-mm”, “Hush” or “Shh”, “Psst”, “Ahem”, and Continuous humming, e.g., “hmmm.” Audio samples of each class are found in the respective fo...

Data for: NILK, entity linking dataset targeting NIL-linking cases

Jun 29, 2023 - NILK

Iurshina, Anastasiia; Pan, Jiaxin; Boutalbi, Rafika; Staab, Steffen, 2023, "Data for: NILK, entity linking dataset targeting NIL-linking cases", https://doi.org/10.18419/darus-3454, DaRUS, V1

A dataset for the NIL-detection and NIL-disambiguation tasks. The NILK dataset has two main features: 1) It marks NIL-mentions for NIL-detection by extracting mentions which belong to newly added entities in Wikipedia text. 2) It provides an entity label for NIL-disambiguation by...

NILK(Universität Stuttgart)

Jun 27, 2023

Website Screenshot to Eye-Gaze

Nov 17, 2022 - Udeco-EyeGaze

Aspandi Latif, Decky, 2022, "Website Screenshot to Eye-Gaze", https://doi.org/10.18419/darus-3251, DaRUS, V1

This dataset contains unified datasets that consist of two pre-processed datasets of Gaze-Mining and Contrastive-Website to allow for the development of Machine Learning based model Eye-Gaze location predictions using Website Screenshot Input.

Udeco-EyeGaze(Universität Stuttgart)

Nov 7, 2022

Wikidated(Universität Stuttgart)

Apr 5, 2022

This dataverse contains Wikidated. Its initial release is described in Schmelzeisen, Dima, Staab (2021). Wikidated 1.0: An Evolving Knowledge Graph Dataset of Wikidata’s Revision History. Wikidata@ISWC. For more information, visit w3id.org/wikidated/.

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