New directions for applied knowledge-based AI and machine learning

Autor: Bernhard G. Humm, Phil Archer, Hermann Bense, Carolynn Bernier, Christian Goetz, Thomas Hoppe, Fabienne Schumann, Melanie Siegel, Rigo Wenning, Alexander Zender

Publikováno v: Informatik Spektrum. 46:65-78

In this article, selected new directions in knowledge-based artificial intelligence (AI) and machine learning (ML) are presented: ontology development methodologies and tools, automated engineering of WordNets, innovations in semantic search, and aut

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2fe1ed1ead1e1b93ec650ade03b02c3d
https://doi.org/10.1007/s00287-022-01513-9

Setting up a Global Linked Data Catalog of Datasets for Agriculture

Autor: Phil Archer, Valeria Pesce, Johannes Keizer, Ajit Maru, Thembani Malapela

Publikováno v: Communications in Computer and Information Science ISBN: 9783319241289
MTSR
Communications in Computer and Information Science
Communications in Computer and Information Science-Metadata and Semantics Research
Metadata and Semantics Research

The movement to share data has been on the rise in the last decade and lately in the agricultural domain. Similarly platforms for publishing scientific and statistical datasets have sprouted and have improved visibility and availability of datasets.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30f39c6849f43952afa216757be38624
https://doi.org/10.1007/978-3-319-24129-6_31

POWDER and the multi million-triple store

Autor: Phil Archer, Stasinos Konstantopoulos

Publikováno v: SWIM

In this paper we present and discuss the implementation and deployment of the Protocol for Web Description Resources (POWDER) W3C Recommendation for a large RDF repository containing millions of triples. POWDER enables taking advantage of natural gro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::34ce542e8d1da539c998b947bed02395
https://doi.org/10.1145/1999299.1999301