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Jedrzej Potoniec
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2020 – today
- 2024
- [j8]Dariusz Max Adamski, Jedrzej Potoniec:
Reason-able embeddings: Learning concept embeddings with a transferable neural reasoner. Semantic Web 15(4): 1333-1365 (2024) - 2023
- [c22]Jedrzej Potoniec:
Is the Proof Length a Good Indicator of Hardness for Reason-able Embeddings? NeSy 2023: 150-161 - [c21]Weronika T. Adrian, Maciej Kutyla, Jedrzej Potoniec, Agnieszka Lawrynowicz:
Reasoning about Ingredient Substitutions with Ontologies and Rules. RuleML+RR (Companion) 2023 - 2022
- [j7]Jedrzej Potoniec
:
Inductive Learning of OWL 2 Property Chains. IEEE Access 10: 25327-25340 (2022) - [j6]Jedrzej Potoniec
Continuous discovery of Causal nets for non-stationary business processes using the Online Miner. Eur. J. Oper. Res. 303(3): 1304-1320 (2022) - [c20]Dawid Wisniewski, Jedrzej Potoniec, Agnieszka Lawrynowicz:
BigCQ: Generating a Synthetic Set of Competency Questions Formalized into SPARQL-OWL (Student Abstract). AAAI 2022: 13079-13080 - [c19]Maciej Hercog, Piotr Jaronski, Jan Kolanowski, Pawel Mieczynski, Dawid Wisniewski
Sarcastic RoBERTa: A RoBERTa-Based Deep Neural Network Detecting Sarcasm on Twitter. DaWaK 2022: 46-52 - [c18]Witold Andrzejewski
Quality Versus Speed in Energy Demand Prediction - Experience Report from an R &D project. DEXA (1) 2022: 447-452 - [i4]Witold Andrzejewski
Quality versus speed in energy demand prediction for district heating systems. CoRR abs/2205.07863 (2022) - 2021
- [c17]Dawid Wisniewski
SeeQuery: An Automatic Method for Recommending Translations of Ontology Competency Questions into SPARQL-OWL. CIKM 2021: 2119-2128 - [c16]Jedrzej Potoniec
Incorporating Presuppositions of Competency Questions into Test-Driven Development of Ontologies (S). SEKE 2021: 437-440 - [i3]Dawid Wisniewski, Jedrzej Potoniec, Agnieszka Lawrynowicz:
BigCQ: A large-scale synthetic dataset of competency question patterns formalized into SPARQL-OWL query templates. CoRR abs/2105.09574 (2021) - 2020
- [c15]Urszula Walinska, Jedrzej Potoniec:
Urszula Wali'nska at SemEval-2020 Task 8: Fusion of Text and Image Features Using LSTM and VGG16 for Memotion Analysis. SemEval@COLING 2020: 1215-1220
2010 – 2019
- 2019
- [j5]Jedrzej Potoniec
Learning SPARQL Queries from Expected Results. Comput. Informatics 38(3): 679-700 (2019) - [j4]Dawid Wisniewski
Analysis of Ontology Competency Questions and their formalizations in SPARQL-OWL. J. Web Semant. 59 (2019) - 2018
- [j3]Agnieszka Lawrynowicz
Discovery of emerging design patterns in ontologies using tree mining. Semantic Web 9(4): 517-544 (2018) - [c14]Jedrzej Potoniec
Finding Unexplainable Triples in an RDF Graph. ESWC (Satellite Events) 2018: 3-7 - [i2]Dawid Wisniewski, Jedrzej Potoniec, Agnieszka Lawrynowicz, C. Maria Keet:
Competency Questions and SPARQL-OWL Queries Dataset and Analysis. CoRR abs/1811.09529 (2018) - 2017
- [j2]Jedrzej Potoniec
Swift Linked Data Miner: Mining OWL 2 EL class expressions directly from online RDF datasets. J. Web Semant. 46-47: 31-50 (2017) - [i1]Jedrzej Potoniec, Piotr Jakubowski, Agnieszka Lawrynowicz:
Swift Linked Data Miner: Mining OWL 2 EL class expressions directly from online RDF datasets. CoRR abs/1710.07114 (2017) - 2016
- [c13]Tomasz Sosnowski, Jedrzej Potoniec
Towards Mining Patterns for Exploratory Search with Keval Algorithm. EKAW (Satellite Events) 2016: 180-183 - [c12]Tomasz Sosnowski, Jedrzej Potoniec
Swift Linked Data Miner Extension for WebProtégé. EKAW (Satellite Events) 2016: 184-187 - [c11]Jedrzej Potoniec:
Not-So-Linked Solution to the Linked Data Mining Challenge 2016. (KNOW@LOD/CoDeS)@ESWC 2016 - [c10]Jedrzej Potoniec:
An On-Line Learning to Query System. ISWC (Posters & Demos) 2016 - [c9]Jedrzej Potoniec, Agnieszka Lawrynowicz:
A Protege Plugin with Swift Linked Data Miner. ISWC (Posters & Demos) 2016 - 2015
- [c8]Jedrzej Potoniec, Agnieszka Lawrynowicz:
Combining Ontology Class Expression Generation with Mathematical Modeling for Ontology Learning. AAAI 2015: 4198-4199 - [c7]Jedrzej Potoniec, Michal Madziar:
Towards Memory-Efficient Answering of Tree-Shaped SPARQL Queries using GPUs. ISWC (Posters & Demos) 2015 - 2014
- [j1]Agnieszka Lawrynowicz
Pattern Based Feature Construction in Semantic Data Mining. Int. J. Semantic Web Inf. Syst. 10(1): 27-65 (2014) - [c6]Jedrzej Potoniec
Towards Ontology Refinement by Combination of Machine Learning and Attribute Exploration. EKAW (Satellite Events) 2014: 225-232 - [c5]Ewa Kowalczuk, Jedrzej Potoniec, Agnieszka Lawrynowicz:
Extracting Usage Patterns of Ontologies on the Web: a Case Study on GoodRelations Vocabulary in RDFa. OWLED 2014: 139-144 - [c4]Jedrzej Potoniec, Sebastian Rudolph, Agnieszka Lawrynowicz:
Towards Combining Machine Learning with Attribute Exploration for Ontology Refinement. ISWC (Posters & Demos) 2014: 229-232 - 2013
- [c3]Tomasz Lukaszewski
Hypothesis-Driven Interactive Classification Based on AVO. ICMMI 2013: 71-78 - 2011
- [c2]Agnieszka Lawrynowicz
ASPARAGUS - A System for Automatic SPARQL Query Results Aggregation Using Semantics. ICCCI (1) 2011: 304-313 - [c1]Agnieszka Lawrynowicz
Fr-ONT: An Algorithm for Frequent Concept Mining with Formal Ontologies. ISMIS 2011: 428-437
Coauthor Index
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last updated on 2024-10-25 21:12 CEST by the dblp team
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