Assisting the RDF Annotation of a Digital Humanities Corpus using Case-Based Reasoning
| Autor: | Jean Lieber, Siyana Pavlova, Emmanuel Nauer, Olivier Bruneau, Nicolas Lasolle |
|---|---|
| Přispěvatelé: | Archives Henri-Poincaré - Philosophie et Recherches sur les Sciences et les Technologies (AHP-PReST), Université de Strasbourg (UNISTRA)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), K team (Data Science, Knowledge, Reasoning and Engineering), Department of Natural Language Processing & Knowledge Discovery (LORIA - NLPKD), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), IMPACT-OLKi, ANR-15-IDEX-0004,LUE,Isite LUE(2015), Data Science, Knowledge, Reasoning and Engineering (K Team), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria), Lasolle, Nicolas, ISITE - Isite LUE - - LUE2015 - ANR-15-IDEX-0004 - IDEX - VALID |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Computer science
Process (engineering) Context (language use) 02 engineering and technology [INFO] Computer Science [cs] 01 natural sciences [SHS.HISPHILSO]Humanities and Social Sciences/History Philosophy and Sociology of Sciences Annotation [SHS.HISPHILSO] Humanities and Social Sciences/History Philosophy and Sociology of Sciences 0202 electrical engineering electronic engineering information engineering case-based reasoning Case-based reasoning [INFO]Computer Science [cs] RDF rdf(s) Semantic Web sparql query transformation Structure (mathematical logic) Information retrieval Data editing 010401 analytical chemistry content annotation 020207 software engineering computer.file_format 0104 chemical sciences scientific correspondence history of science digital humanities computer |
| Zdroj: | The 19th International Semantic Web Conference-ISWC 2020 The 19th International Semantic Web Conference-ISWC 2020, Nov 2020, Athens, Greece Lecture Notes in Computer Science ISBN: 9783030624651 ISWC (2) |
| Popis: | International audience; The Henri Poincaré correspondence is a corpus composed of around 2100 letters which is a rich source of information for historians of science. Semantic Web technologies provide a way to structure and publish data related to this kind of corpus. However, Semantic Web data editing is a process which often requires human intervention and may seem tedious for the user. This article introduces RDFWebEditor4Humanities, an editor which aims at facilitating annotation of documents. This tool uses case-based reasoning (cbr) to provide suggestions for the user which are related to the current document annotation process. These suggestions are found and ranked by considering the annotation context related to the resource currently being edited and by looking for similar resources already annotated in the database. Several methods and combinations of methods are presented here, as well as the evaluation associated with each of them. |
| Databáze: | OpenAIRE |
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