{"references": ["Ngyuen, Anna, et al. (2020). Making Neural Networks FAIR. Knowledge Graphs and Semantic Web Second Iberoamerican Conference and First Indo-American Conference, KGSWC 2020, M\u00e9rida, Mexico, November 26-27, 2020, Proceedings"]}<br/>We present the FAIRnets Knowledge Graph, a large RDF data set with information about neural networks. The data set is based on neural networks published on GitHub using Keras as framework. Furthermore, the data set is implemented in FAIRnets...
Die Vorlesung vermittelt eine Einführung in die Grundkonzepte der Informatik. Beschreibung: Die Vorlesung bietet eine Einführung in grundlegende Konzepte der Informatik und des Software Engineerings. Wesentliche theoretische Grundlagen und Lösungsansätze, die in allen Bereichen der Informatik von Bedeutung sind, werden vorgestellt sowie anhand von Beispielen erläutert. Literaturhinweise: – H. Balzert. Lehrbuch Grundlagen der Informatik. Spektrum Akademischer Verlag 2004. – U. Schöning....
Data to reproduce the results reported in the paper '''Diefficiency Metrics: Measuring the Continuous Efficiency of Query Processing Approaches'''
This is the FAIRnets dataset. It contains Information about publicly available Neural Networks in RDF*. A Search API to query the dataset can be found under https://km.aifb.kit.edu/services/fairnets/
This dataset contains results of various metric tests performed in the SPARQL query engine nLDE: the network of Linked Data Eddies, in different configurations. The queries themselves are available via the nLDE website and tests are explained in depth within the associated publication.To compute the diefficiency metrics dief@t and dief@k, we need the answer trace produced by the SPARQL query engines when executing queries. Answer traces record the exact point in time when an engine produces...
# PhD Thesis---* Title: **[Validation Framework for RDF-based Constraint Languages](http://dx.doi.org/10.5445/IR/1000056458)*** Author: **[Thomas Hartmann](http://www.dr-thomashartmann.de/)*** Examination Date: 08.07.2016* University: [Karlsruhe Institute of Technology (KIT)](https://www.kit.edu/english/)* Chair: [Institute of Applied Informatics and Formal Description Methods](http://www.aifb.kit.edu/web/Hauptseite/en)* Department: [Department of Economics and...
We present the FAIRnets Knowledge Graph, a large RDF data set with information about neural networks. The data set is based on neural networks published on GitHub using Keras as framework. Furthermore, the data set is implemented in FAIRnets Search (https://km.aifb.kit.edu/services/fairnets/), an online search system by which users can explore and analyze neural networks. More information can be found at https://km.aifb.kit.edu/services/fairnets/ and in the paper Making Neural Networks...
Here we release the code of Vetter. We also provide our collected web page snapshots (snapshot.zip) and SKPaint API invocation logs (skpdata.tar.gz) of the Alexa top and bottom 2,500 websites, as well as our user study results (results_of_user_study.zip) in Googl Drive. The main Github repo for Vetter is at https://github.com/Web-Distortion/Vetter.
-- Documentation --Name: VettermusiXplora-ID: v0646musiXplora-URI: https://musixplora.de/mxp/v0646Gender: mFirst Mentioned: 1840Last Mentioned: 1860Sectors: HolzblasinstrumentenbauProfessions (Musical): Holzblasinstrumentenbauer, KlarinettenbauerOther Places of Activity: DresdenPortfolio:GroupRoleNamemXp-IDSortimenteSortimentKlarinette2001466Titel/Medien:RoleSigelTitlemXp-IDRelatedNew Langwill Index 1993The New Langwill Index. A Dictionary of Musical Wind-Instrument Makers and Inventors....
This is the original release of EDI-Vetter.
-- Documentation --Name: Johann Christoph VettermusiXplora-ID: v0508musiXplora-URI: https://musixplora.de/mxp/v0508Gender: mDate of Birth: 1693Place of Birth: UndefinedDate of Death: 03 March 1761Place of Death: UndefinedFirst Mentioned: 1722Sectors: InstrumentenbauProfessions (Musical): Geigenbauer, LautenmacherOther Places of Activity: StraßburgTitel/Medien:RoleSigelTitlemXp-IDRelatedLütgendorff 1922Die Geigen- und Lautenmacher vom Mittelalter bis zur Gegenwart. 2 Bände....
-- Documentation --Name: Johann Paul VettermusiXplora-ID: v0056musiXplora-URI: https://musixplora.de/mxp/v0056Gender: mDate of Birth: 1675Place of Birth: AnsbachFirst Mentioned: 1730Sectors: InstrumentenbauProfessions (Musical): Harfenbauer, Harfenist, ZupfinstrumentenbauerOther Places of Activity: NürnbergPortfolio:GroupRoleNamemXp-IDSortimenteSortimentHarfe2001474Titel/Medien:RoleSigelTitlemXp-IDRelatedZingel 1977Lexikon der Harfe. Ein biographisches, bibliographisches, geographisches und...
Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of aGerman pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf.gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope):https://kalliope-verbund.info/DE-611-BF-70963[Funktion: Im Findbuch anzeigen] Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannotbe...
Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963[Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be...
Surface rupturing data from the historical earthquakes is used for obtaining empirical regression parameters for fault displacement hazard assessment. This is the second version of the SUrface Ruptures due to Earthquake (SURE) database. This new release contains slip measurements and mapped surface rupture traces of 50 surface rupturing earthquakes of reverse, normal, and strike-slip kinematics. As a novelty, a ranking scheme of the rupture features is applied to all the traces and slip...
The SURE-KG RDF dataset provides a knowledge graph built from a real dataset to represent Real Estate and Uncertain Spatial Data from Advertisements. It relies on natural language processing and machine learning methods for information extraction, and semantic Web frameworks for representation and integration. It describes more than 100K real estate ads and 6K place-names extracted from French Real Estate advertisements from various online advertiser and located in the French Riviera. It can...
This archive contains the docked TYK2 structures used in the paper "Optimizing active learning for free energy calculations" (https://doi.org/10.1016/j.ailsci.2022.100050). AM1-BCC charges are stored in the field "AM1Cache" in the SD file. The charges can be extracted using the code sample below. from rdkit import Chem import base64 import pickle suppl = Chem.SDMolSupplier("10k_most_similar_tyk2_charged.sdf", removeHs=False) for mol in suppl: am1 = mol.GetProp("AM1Cache") ...
Fictional datasets, for testing and learning purposes, composed of basic/measurable and computed variables of the Munich Chronotype Questionnaire (MCTQ) standard, shift, and micro versions. The *.csv files represent the raw data and *.rda files the processed data. This data was created by randomized sampling and by manual insertions of special cases. You can find it in the mctq R package. Its purpose is to demonstrate common cases and data issues that researchers may find in their MCTQ data,...
An improvement to scaled-gradient search that resists overfitting noise.
Uncovering relationships between neural activity and behavior represents a critical challenge, one that would benefit from facile tools that can capture complex structures within large datasets. Here we demonstrate a generalizable strategy for capturing such structures across diverse behaviors: Time-REsolved BehavioraL Embedding (TREBLE). Using data from synthetic trajectories, adult and larval Drosophila, and mice we show how TREBLE captures both continuous and discrete behavioral dynamics,...
01 | 0:00:00 Start 0:00:05 Start 0:08:11 Lehrstuhl von Prof. Dr. York Sure-Vetter 0:16:14 Warum ist Informatik wichtig? 0:22:33 Informatik - Definition 0:29:06 Grundlegende Begriffe -Information 0:39:56 Systeme - Entwicklungsprozesse 0:43:03 Teilgebiete der Informatik 0:51:17 ""Berühmte"" Prognosen 0:55:20 Zur Entwicklung der Informatik 1:17:39 Übersicht
10 | 0:00:00 Start 0:01:41 Einführung 0:03:33 Verschiedene Sotieralgorithmen visualisiert 0:08:16 Ziesetzung 0:12:25 Sortieren durch direktes Einfügen 0:22:01 Quicksort 0:47:48 Heapsort
08 | 0:00:00 Start 0:00:10 heutiges Thema: Datenstrukturen: Graphen 0:02:06 Graphen: Begriffe 0:33:44 Graphen: Tiefen und Breitensuche 0:45:03 Tiefen- und Breitensuche: Bäume 1:04:39 Tiefen- und Breitensuche: Binäre Bäume
Interview with York Sure-Vetter, Director of NFDI, Germany and Professor at Karlsruhe Institute of Technology; Eva Maria Méndez, PhD in Library and Information Science; Joaquín Tintoré, Professor of Physical Oceanography; Michael Arentoft, Head of Unit, Open Science, DG R&I, European Commission; and Iryna Kuchma, Open Access Programme Manager for EIFL on the necessity of funding Open Science infrastructure and Open Science in general in order to accelerate the shift towards more openness and...
An interview on the need of data professionals and Open Science skills with York Sure-Vetter, Director of NFDI, Germany and Professor at Karlsruhe Institute of Technology; Jessica Lindvall, Head of Training at SciLifeLab Training Hub; Anne Sophie Fink, Head of Data Management at DeiC (Denmark); and Sally Chambers, Director at DARIAH-EU. Modern research and technology can require not only large amounts of data, but also good data quality. Ensuring good data quality requires specialized...
05 | 0:00:00 Start 0:00:31 Heutiges Thema: Algorithmen 0:02:24 Übersicht 0:09:13 Eigenschaften von Algorithmen 0:10:13 Eigenschaft: Endlichkeit 0:23:40 Eigenschaft: Eindeutigkeit 0:33:58 Eigenschaft: Rekursion 0:51:29 Beispiel Rekursion: Türme von Hanoi 1:10:38 Eigenschaft: Rekursion - Universalität
07 | 0:00:00 Start 0:02:15 Einführung 0:06:34 Beispiele für Datenstrukturen 0:11:01 Warum dynamische Datenstrukturen ? 0:19:10 Abstrakter Datentyp (ADT) 0:37:27 Der Abstrakte Datentyp Liste 0:41:53 Verkettete Liste 0:47:56 Verkettete Listen: Implementierung (Einfügen/Löschen) 0:56:04 Doppelt verkettete Listen Implementierung 1:01:58 Keller: Einführung 1:14:17 Schlangen: Einführung
11 | 0:00:00 Start 0:00:05 5.4 Heapsort: Konstruktion eines neuen Heaps 0:02:38 Komplexität von Heapsort 0:04:49 Aufwand für das Neuorganisieren des Heaps 0:05:36 6 Komplexität 0:08:11 Beispiel 0:13:10 Idealisierenden Annahmen 0:14:07 Fragestellungen 0:16:01 6 Elementaroperationen und Schleifen 0:20:17 6. Komplexität 0:22:19 Bemerkungen 0:30:10 Beispiel
06 | 0:00:00 Start 0:00:19 Vorbemerkung 0:09:30 Entwurfsprinzipien 0:10:04 Schrittweise Verfeinerung 0:19:43 Modularisierung 0:28:55 Backtracking 0:45:26 Divide and Conquer 0:54:36 Problemtransformation 0:58:52 Testmethoden für Algorithmen 1:01:30 Verifikation 1:10:49 Einteilung der Eingabedaten in Klassen 1:14:56 Black-Box-Test 1:15:41 White-Box-Test 1:19:56 Robustheit von Algorithmen
09 | 0:00:00 Start 0:00:37 Binäre Suchbäume 0:15:15 Vergleich: Position eines Knotens 0:18:14 Vergleich: Laufzeiten der Grundoperationen 0:20:13 Pfadsuchprobleme 0:24:29 Eulerscher Zyklus 0:26:32 Rundreiseproblem 0:30:48 Kürzeste Pfade 0:33:49 Dijkstras Algorithmus 0:39:32 Kantenfolge des kürzesten Pfades 0:40:48 Aufwand 0:43:18 Bellman-Ford Algorithmus 0:53:04 Minimaler Spannbaum 0:54:26 Anwendungsbeispiel 0:57:07 Algorithmus von Kruskal
02 | 0:00:00 Start 0:00:05 Start 0:03:23 Logische Ausdrücke im Business Process Engineering 0:05:23 Logische Ausdrücke im Datenbankbereich 0:07:50 Logische Ausdrücke im Software Engineering 0:13:32 Aussagenlogik: Atomare Aussagen 0:15:51 Aussagenlogik: Aussagezeichen 0:19:12 Aussagenlogik: Syntax 0:24:41 Aussagenlogik: Wahrheitsgehalt von atomaren Aussagen 0:30:19 Aussagenlogik: Beispiel 0:34:46 Aussagenlogik: Beispiel Wahrheitstafel 0:38:12 Aussagenlogik: Definition 0:41:33 Beispiel...
In this paper we present the Simple-ML framework that we develop to support efficient configuration, robustness and reusability of data analytics workflows through the adoption of semantic technologies. We present semantic data models that lay the foundation for the framework development and discuss the data analytics workflows based on these models. Furthermore, we present an example instantiation of the Simple-ML data models for a real-world use case in the mobility domain. © 2019, The Author(s).
12 | 0:00:00 Start 0:00:25 Übersicht 0:00:45 Klassendiagramm 0:01:37 Unified Modelling Language (UML) 0:05:47 Rolle von Modellierung 0:15:42 Strukturdiagramme 0:17:21 Verhaltensdiagramme 0:20:44 Schrittweise Verfeinerung der Modellierung 0:21:23 Anwendungsfalldiagramme 0:29:57 Modellierungstipps 0:31:27 Klassendiagramme 0:47:02 Allgemeine Entwurfsprinzipien 0:50:02 Objektdiagramme 0:52:52 Sequenzdiagramme 1:01:20 Operatoren: Verzweigungen und Schleifen 1:02:58 Nebenläufigkeiten und Ordnung...
03 | 0:00:00 Start 0:00:05 Logik 1-3 Aussagenlogik 0:00:30 Apple - das wertvollste Unternehmen im Vergleich 0:03:06 Übersicht 0:03:28 2.1 Aussagenlogik: Satz 0:05:06 Beispiel 0:07:45 Algorithmus II: Wahrheitstafeln 0:08:45 Bestimmung einer KNF 0:08:58 Beispiel 0:13:09 2.1 Aussagenlogik 0:22:33 Resolutionslemma 0:27:47 Resolution 0:30:28 2.2 Prädikatenlogik 0:30:30 2.2 Grenzen der Aussagenlogik 0:32:44 2.2 Vokabular der Prädikatenlogik 0:34:09 Syntax der Prädikatenlogik 0:34:21 2.2 Bedeutung...
Biomedical knowledge graphs such as STITCH, SIDER, and Drugbank provide the basis for the discovery of associations between biomedical entities, e.g., interactions between drugs and targets. Link prediction is a paramount task and represents a building block for supporting knowledge discovery. Although several approaches have been proposed for effectively predicting links, the role of semantics has not been studied in depth. In this work, we tackle the problem of discovering interactions...
The FAIR-IMPACT FAIR National Roadshow series visited Germany on the 24th of January 2024. The event was hosted by NFDI, the German National Research Data Infrastructure. The event focused on how Germany, and NFDI in particular, is moving forward with the definition and setting up of FAIR Data spaces, as common, cloud-based data spaces for industry and research in compliance with the FAIR Principles, i.e., to share data in a findable, accessible, interoperable, reusable way. T he agenda saw...
04 | 0:00:00 Start 0:00:05 Logik 2-3 Prädikatenlogik 0:04:31 Übersicht 0:04:43 2.2 Grenzen der Aussagenlogik 0:05:44 Resolution in der Prädikatenlogik 0:06:36 2.2 Prädikatenlogik 0:08:42 Definition: Skolemisierung 0:12:18 Algorithmus Skolemisierung 0:14:29 Beispiel: Umformung in Skolemform 0:17:17 Grundresolution: Umwandlung in KNF 0:20:47 Definition: Grundinstanzen 0:23:23 Beispiel Grundinstanz 0:26:07 Definition: Grundresolutionsalgorithmus 0:28:34 Grundresolutionssatz 0:28:59...
Abstract ; Der Wegweiser „Auffinden – Zitieren – Dokumentieren: Forschungsdaten in den Sozialwissenschaften“ greift einige grundsätzliche Aspekte im Umgang mit den Forschungsdaten auf und orientiert sich dabei an den Regeln guter wissenschaftlicher Praxis (DFG, 2013). Der Wegweiser soll nicht nur Nachwuchswissenschaftler beim Umgang mit Forschungsdaten unterstützen, sondern er ist auch für etablierte Wissenschaftler hilfreich. Sicher kann dieser Wegweiser nicht alle Fragen beantworten, die...
This is a coffee lecture about NFDI.
Hier wird am 21.04.2021 die Ergebnissicherung der CL mit Herrn Prof. Dr. York Sure Vetter zur Verfügung gestellt und ÖFFENTLICH gemacht (Antworten der Fragen aus der Diskussion). Thema: NFDI - Nationale Forschungsdateninfrastruktur: Daten, Kekse ... und mehr Referenten*innen: Prof. Dr. York Sure-Vetter Info: Die Universität Hildesheim informiert in einer neuen Veranstaltungsreihe im Sommersemester 2021 über das Forschungsdatenmanagement. Annette Strauch ist an der Universität Hildesheim für...
