A General Framework to Build and Assess the Quality of Authority Links
Autor: | Alain Gutierrez, Michel Leclère, Michel Chein |
---|---|
Přispěvatelé: | Graphs for Inferences on Knowledge (GRAPHIK), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Inria Sophia Antipolis - Méditerranée (CRISAM) |
Rok vydání: | 2019 |
Předmět: |
Coreference
[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB] Generic algorithms Computer science media_common.quotation_subject 02 engineering and technology Linked data [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] World Wide Web 020204 information systems Agency (sociology) 0202 electrical engineering electronic engineering information engineering [INFO.INFO-DL]Computer Science [cs]/Digital Libraries [cs.DL] 020201 artificial intelligence & image processing Quality (business) National database media_common |
Zdroj: | K-CAP K-CAP 2019-10th International Conference on Knowledge Capture K-CAP 2019-10th International Conference on Knowledge Capture, Nov 2019, Marina Del Rey, CA, United States. pp.13-20, ⟨10.1145/3360901.3364421⟩ |
Popis: | International audience; In this paper, a methodology and generic algorithms are proposed to discover and to qualify authority links (a kind of coreference links) between entities, mentioned in descriptions of documents, and authorities, i.e., entities described in referential bases. This framework has been instantiated on the French national database Sudoc built and maintained by ABES (the French National Agency for Academic Libraries). Experiments demonstrate the effective usefulness of the tool developed using this methodology and ABES is finalizing an interactive tool for professional librarians to qualify existing links and also, if needed, to correct and complete these links. |
Databáze: | OpenAIRE |
Externí odkaz: |