Matches in ESWC 2020 for { ?s ?p ?o. }
- Fast_and_Exact_Rule_Mining_with_AMIE_3 type Talk.
- Fast_and_Exact_Rule_Mining_with_AMIE_3 label "Fast and Exact Rule Mining with AMIE 3".
- Fast_and_Exact_Rule_Mining_with_AMIE_3 coversPaper Paper.120.
- b0_g41 first Author.15.3.
- b0_g41 first Fostering_Scientific_Meta-Analyses_with_Knowledge_Graphs_:_a_Case-Study.
- b0_g41 rest nil.
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- Author.15.3 type RoleDuringEvent.
- Author.15.3 label "Albert Meroño-Peñuela, 3rd Author for Paper 15".
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- Fostering_Scientific_Meta-Analyses_with_Knowledge_Graphs_:_a_Case-Study type Talk.
- Fostering_Scientific_Meta-Analyses_with_Knowledge_Graphs_:_a_Case-Study label "Fostering Scientific Meta-Analyses with Knowledge Graphs : a Case-Study".
- Fostering_Scientific_Meta-Analyses_with_Knowledge_Graphs_:_a_Case-Study coversPaper Paper.53.
- b0_g42 first Author.16.1.
- b0_g42 first Estimating_Characteristic_Sets_for_RDF_Dataset_Profiles_based_on_Sampling.
- b0_g42 rest nil.
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- Author.16.1 type RoleDuringEvent.
- Author.16.1 label "Hajira Jabeen, 1st Author for Paper 16".
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- Estimating_Characteristic_Sets_for_RDF_Dataset_Profiles_based_on_Sampling type Talk.
- Estimating_Characteristic_Sets_for_RDF_Dataset_Profiles_based_on_Sampling label "Estimating Characteristic Sets for RDF Dataset Profiles based on Sampling".
- Estimating_Characteristic_Sets_for_RDF_Dataset_Profiles_based_on_Sampling coversPaper Paper.196.
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- Uli_Slattler type Person.
- Uli_Slattler name "Uli Slattler".
- Uli_Slattler label "Uli Slattler".
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- Uli_Slattler holdsRole Keynote_Speaker.
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- Keynote_Speaker withRole presenter.
- keynote-uli-sattler type Talk.
- keynote-uli-sattler isSubEventOf Conference.
- keynote-uli-sattler label "Modularity in OWL".
- keynote-uli-sattler day Day.Thursday.
- keynote-uli-sattler startDate "2020-06-04:09:00:00.000+02:00".
- keynote-uli-sattler endDate "2020-06-04:10:00:00.000+02:00".
- keynote-uli-sattler description "The semantic web ontology language OWL is widely used in a range of applications, and supported by a broad range of tools, including editors, IDEs, APIs, and reasoners. Engineering ontologies (e.g., building, re-using, maintaining) remains, however, a complex task – and modularity is an obvious mechanism to make this task more manageable. In this talk, I will try to give an overview of work in this area. Firstly, we consider the task of extracting, from one ontology, a small/suitable fragment that captures a given topic (usually described in terms of its signature). The question of suitability versus size here is interesting, and has given rise to different notions of modules and their properties and algorithms for their extraction. Secondly, it would be extremely useful if we could “modularize” a large ontology into suitable coherent fragments (OWL has an “imports” construct that supports some kind of modular working with an ontology). Thirdly, if we have such a nice, modular ontology, how can a group of domain experts work independently on these without undesired side effects. Fourth and finally, we will briefly talk about whether/which form of modularity can be used and how to optimize reasoning.".
- keynote-uli-sattler presenter Uli_Slattler.
- Session_1_Query_Processing type Session.
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- Session_1_Query_Processing label "Session 1: Query Processing".
- Session_1_Query_Processing day Day.Thursday.
- Session_1_Query_Processing startDate "2020-06-04:10:00:00.000+02:00".
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- Session_2_Knowledge_Extraction_and_Recommendation_1 type Session.
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- Session_2_Knowledge_Extraction_and_Recommendation_1 label "Session 2: Knowledge Extraction and Recommendation 1".
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- Session_2_Knowledge_Extraction_and_Recommendation_1 startDate "2020-06-04:10:00:00.000+02:00".
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- Session_3_Knowledge_Extraction_and_Recommendation_2 label "Session 3: Knowledge Extraction and Recommendation 2".
- Session_3_Knowledge_Extraction_and_Recommendation_2 day Day.Thursday.
- Session_3_Knowledge_Extraction_and_Recommendation_2 startDate "2020-06-04:11:19.98000000000001:00.000+02:00".
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- Session_4_Machine_Learning type Session.
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- Session_4_Machine_Learning label "Session 4: Machine Learning".
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- Session_4_Machine_Learning startDate "2020-06-04:11:19.98000000000001:00.000+02:00".
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- Session_5_Natural_Language_Processing label "Session 5: Natural Language Processing".
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- Session_5_Natural_Language_Processing startDate "2020-06-04:11:39.96000000000002:00.000+02:00".
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- Session_6_Reasoning type Session.
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- Morning_Coffee_Break type Break.
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- Morning_Coffee_Break label "Coffee Break".