Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Olivier Pelgrin"'
Publikováno v:
2023 IEEE 17th International Conference on Semantic Computing (ICSC)
In recent years, research in RDF archiving has gained traction due to the ever-growing nature of semantic data and the emergence of community-maintained knowledge bases. Several solutions have been proposed to manage the history of large RDF graphs,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2deffa56e584b9b084a81b563d69a5af
https://hdl.handle.net/1854/LU-01GYHHJ97QMM2A9AW2CPTAHZ0H
https://hdl.handle.net/1854/LU-01GYHHJ97QMM2A9AW2CPTAHZ0H
Publikováno v:
CEUR-WS.org 2021-CEUR Workshop Proceedings
CEUR-WS.org 2021-CEUR Workshop Proceedings, Oct 2021, Virtual Event, France. pp.1-10
Aalborg University
CEUR-WS.org 2021-CEUR Workshop Proceedings, Oct 2021, Virtual Event, France. pp.1-10
Aalborg University
International audience; Metadata, such as provenance, versioning, temporal annotations, etc., is vital for the maintenance of RDF data. Despite its importance in the RDF ecosystem, support for metadata-augmented RDF remains limited. Some solutions fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::026fd42ec52e7a4aceea5dfed1d3e866
https://hal.inria.fr/hal-03500647/document
https://hal.inria.fr/hal-03500647/document
Publikováno v:
Pelgrin, O, Galárraga, L & Hose, K 2021, ' Towards Fully-fledged Archiving for RDF Datasets ', Semantic Web, vol. 12, no. 6, 6, pp. 903-925 . https://doi.org/10.3233/SW-210434
Semantic Web – Interoperability, Usability, Applicability
Semantic Web – Interoperability, Usability, Applicability, IOS Press, 2021, 12 (6), pp.903-925. ⟨10.3233/SW-210434⟩
Semantic Web – Interoperability, Usability, Applicability, 2021, 12 (6), pp.903-925. ⟨10.3233/SW-210434⟩
Semantic Web – Interoperability, Usability, Applicability
Semantic Web – Interoperability, Usability, Applicability, IOS Press, 2021, 12 (6), pp.903-925. ⟨10.3233/SW-210434⟩
Semantic Web – Interoperability, Usability, Applicability, 2021, 12 (6), pp.903-925. ⟨10.3233/SW-210434⟩
International audience; The dynamicity of RDF data has motivated the development of solutions for archiving, i.e., the task of storing and querying previous versions of an RDF dataset. Querying the history of a dataset finds applications in data main
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf25939f82648ea13c0f46fd7a08ac94
https://vbn.aau.dk/ws/files/475411775/sw_2021_12_6_sw_12_6_sw210434_sw_12_sw210434.pdf
https://vbn.aau.dk/ws/files/475411775/sw_2021_12_6_sw_12_6_sw210434_sw_12_sw210434.pdf
Publikováno v:
Galárraga, L, Pelgrin, O & Termier, A 2021, HiPaR : Hierarchical Pattern-Aided Regression . in K Karlapalem, H Cheng, N Ramakrishnan, R K Agrawal, P K Reddy, J Srivastava & T Chakraborty (eds), Advances in Knowledge Discovery and Data Mining-25th Pacific-Asia Conference, PAKDD 2021, Proceedings . Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12712 LNAI, pp. 320-332, 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2021, Virtual, Online, 11/05/2021 . https://doi.org/10.1007/978-3-030-75762-5_26
Advances in Knowledge Discovery and Data Mining
Advances in Knowledge Discovery and Data Mining, 12712, Springer International Publishing, pp.320-332, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-75762-5_26⟩
Advances in Knowledge Discovery and Data Mining ISBN: 9783030757618
PAKDD (1)
PAKDD 2021-Pacific-Asia Conference on Knowledge Discovery and Data Mining
PAKDD 2021-Pacific-Asia Conference on Knowledge Discovery and Data Mining, May 2021, Virtual, France. pp.320-332, ⟨10.1007/978-3-030-75762-5_26⟩
Advances in Knowledge Discovery and Data Mining
Advances in Knowledge Discovery and Data Mining, 12712, Springer International Publishing, pp.320-332, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-75762-5_26⟩
Advances in Knowledge Discovery and Data Mining ISBN: 9783030757618
PAKDD (1)
PAKDD 2021-Pacific-Asia Conference on Knowledge Discovery and Data Mining
PAKDD 2021-Pacific-Asia Conference on Knowledge Discovery and Data Mining, May 2021, Virtual, France. pp.320-332, ⟨10.1007/978-3-030-75762-5_26⟩
We introduce HiPaR, a novel pattern-aided regression method for tabular data containing both categorical and numerical attributes. HiPaR mines hybrid rules of the form $p \Rightarrow y = f(X)$ where $p$ is the characterization of a data region and $f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38547f8a335ba9e12a27976361b6f42c
https://vbn.aau.dk/da/publications/29bd0c9d-5597-49f9-addd-c1ea64c48503
https://vbn.aau.dk/da/publications/29bd0c9d-5597-49f9-addd-c1ea64c48503