Add conclusion

Author: Nicolas Hiot

these/biblio.bib

@@ -309,6 +309,21 @@ @inproceedings{anglesPGKeysKeysProperty2021
   file = {C\:\\Users\\nhiot\\OneDrive\\zotero\\2021\\Angles et al. - 2021 - PG-Keys Keys for property graphs.pdf;C\:\\Users\\nhiot\\Zotero\\storage\\7YULBJER\\3448016.html}
 }
 
+@article{asfand-e-yarSemanticIntegrationHeterogeneous2020,
+  title = {Semantic {{Integration}} of {{Heterogeneous Databases}} of {{Same Domain Using Ontology}}},
+  author = {{Asfand-E-Yar}, Muhammad and Ali, Ramis},
+  year = {2020},
+  journal = {IEEE Access},
+  volume = {8},
+  pages = {77903--77919},
+  issn = {2169-3536},
+  doi = {10.1109/ACCESS.2020.2988685},
+  urldate = {2024-05-13},
+  abstract = {Heterogeneous database integration is the study of integrating data from multiple databases. Integrating the heterogeneous database of the same domain has three main challenges that make the heterogeneity problem difficult to solve. The three problems are Semantic, Syntactic and Structural Heterogeneity. Conventional heterogeneous database integration schemes, like De-duplication Techniques, Data Warehouse, and Information Retrieval (IR) Search technique lack the capability to solve the integration of databases completely. The only reason is they cannot deal with Semantic heterogeneity problems efficiently. The semantic Web ontology model is experimented and discussed in the article, which is based on the query execution model. The ontology modeling is divided into two phases, initially to translate the database rules according to ontology rules to find an abstract ontology model. Secondly, to extend the abstract ontology model according to the databases. The method facilitates to apply similarly SPQRAL queries to search the data in the databases. Therefore, the Jena API is used to retrieve semantically similar records. The experiment is based on the two heterogeneous Universities Library Databases. The results show the effectiveness and scalability of the methodology.},
+  keywords = {Data models,Library Databases,Ontologies,Ontology modelling,Relational databases,Resource description framework,Semantic Integration,Semantic Web,Semantics},
+  file = {C\:\\Users\\nhiot\\OneDrive\\zotero\\2020\\Asfand-E-Yar et Ali - 2020 - Semantic Integration of Heterogeneous Databases of.pdf;C\:\\Users\\nhiot\\Zotero\\storage\\WZ6IL6BD\\9072157.html}
+}
+
 @book{baderGraphPartitioningGraph2013,
   title = {Graph {{Partitioning}} and {{Graph Clustering}}},
   author = {Bader, David and Meyerhenke, Henning and Sanders, Peter and Wagner, Dorothea},
@@ -788,7 +803,8 @@ @misc{chabinArchiTXT2024
   year = {2024},
   month = may,
   url = {https://github.com/Neplex/ArchiTXT},
-  urldate = {2024-05-03}
+  urldate = {2024-05-03},
+  copyright = {All rights reserved}
 }
 
 @article{chabinConsistentUpdatingDatabases2020,
@@ -839,6 +855,7 @@ @misc{chabinDataFix2023
   url = {https://gitlab.com/jacques-chabin/DataFix},
   urldate = {2023-07-21},
   abstract = {Impl{\'e}mentation et benchmarks des algorithmes incr{\'e}mentaux pour la mise {\`a} jour coh{\'e}rente d'une base de donn{\'e}es graphe},
+  copyright = {All rights reserved},
   keywords = {me},
   file = {C:\Users\nhiot\Zotero\storage\WPJMI7RA\UpdateChase.html}
 }
@@ -943,6 +960,7 @@ @misc{chabinSetUpSchemaEvolution2020
   url = {https://www.univ-orleans.fr/lifo/evenements/sendup-project/index.php/softwares/setup-schema-evolution-through-updates/},
   urldate = {2024-05-03},
   abstract = {SetUp (Schema Evolution Through UPdates) is a maintenance tool for RDF/S databases. Its main goal is to ensure validity when dealing with the evolution of an RDF/S knowledge graph. Such a graph represents a set of RDF (the instance) and RDFS (the schema) triples which respect semantic constraints.},
+  copyright = {All rights reserved},
   file = {C:\Users\nhiot\Zotero\storage\9ELXZLQA\setup-schema-evolution-through-updates.html}
 }
 
@@ -2638,7 +2656,7 @@ @DEFT
   hal_version = {v3},
   langid = {french},
   keywords = {⛔ No DOI found,apprentissage automatique,cas cliniques,CRF.,entit{\'e}s cliniques,entit{\'e}s imbriqu{\'e}es,extraction d'information fine,me,nosource},
-  file = {C\:\\Users\\nhiot\\OneDrive\\zotero\\2020\\Minard et al. - 2020 - DOING@ DEFT cascade de CRF pour l'annotation d'en.pdf;C\:\\Users\\nhiot\\OneDrive\\zotero\\2020\\Minard et al. - 2020 - DOING@ DEFT cascade de CRF pour l'annotation d'en2.pdf;C\:\\Users\\nhiot\\OneDrive\\zotero\\2020\\Minard et al. - 2020 - DOING@ DEFT cascade de CRF pour l'annotation d'en3.pdf;C\:\\Users\\nhiot\\Zotero\\storage\\DY6IJYRR\\hal-02784743.html}
+  file = {C\:\\Users\\nhiot\\OneDrive\\zotero\\2020\\Minard et al. - 2020 - DOING@ DEFT cascade de CRF pour l'annotation d'en3.pdf;C\:\\Users\\nhiot\\Zotero\\storage\\DY6IJYRR\\hal-02784743.html}
 }
 
 @inproceedings{mintzDistantSupervisionRelation2009,
@@ -3583,6 +3601,22 @@ @inproceedings{strubellEnergyPolicyConsiderations2019
   file = {C\:\\Users\\nhiot\\OneDrive\\zotero\\2019\\Strubell et al. - 2019 - Energy and Policy Considerations for Deep Learning2.pdf;C\:\\Users\\nhiot\\Zotero\\storage\\IYNS5HUA\\1906.html}
 }
 
+@article{sujanskyHeterogeneousDatabaseIntegration2001,
+  title = {Heterogeneous {{Database Integration}} in {{Biomedicine}}},
+  author = {Sujansky, Walter},
+  year = {2001},
+  month = aug,
+  journal = {Journal of Biomedical Informatics},
+  volume = {34},
+  number = {4},
+  pages = {285--298},
+  issn = {15320464},
+  doi = {10.1006/jbin.2001.1024},
+  urldate = {2024-05-13},
+  copyright = {https://www.elsevier.com/tdm/userlicense/1.0/},
+  langid = {english}
+}
+
 @inproceedings{tellierHowSplitRecursive2008,
   title = {How to Split Recursive Automata},
   booktitle = {Grammatical Inference: {{Algorithms}} and Applications. 9th International Colloquium, {{ICGI}} 2008 Saint-Malo, France, September 22-24, 2008 Proceedings},