Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Clinton Smyth"'
Autor:
Victoria Wang, Bryan Barnhart, Blake Boyko, Sharon Lam, David Poole, Jacob McGregor, Gioachino Roberti, Christopher Ahern, Stephen M. Richard, Clinton Smyth, David Bigelow
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 20, Pp 3455-3483 (2020)
This study presents a landslide susceptibility map using an artificial intelligence (AI) approach based on standards set by the INSPIRE (Infrastructure for Spatial Information in the European Community) framework. INSPIRE is a European Union spatial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8936013265ce4118109e6213d4a2707
https://nhess.copernicus.org/articles/20/3455/2020/nhess-20-3455-2020.pdf
https://nhess.copernicus.org/articles/20/3455/2020/nhess-20-3455-2020.pdf
Autor:
Gioachino Roberti, Jacob McGregor, Sharon Lam, David Bigelow, Blake Boyko, Chris Ahern, Victoria Wang, Bryan Barnhart, Clinton Smyth, David Poole, Stephen Richard
This study presents a landslide susceptibility map using an artificial intelligence (AI) approach that is based on standards set by the INSPIRE framework. We show how INSPIRE standards enhance the interoperability of geospatial data, and enable deepe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efd4a44637f397afec5557c532b8016f
https://doi.org/10.5194/nhess-2020-134
https://doi.org/10.5194/nhess-2020-134
Publikováno v:
International Journal of Approximate Reasoning. 51:240-262
In all scientific disciplines there are multiple competing and complementary theories that have been, and are being, developed. There are also observational data about which the theories can potentially make predictions. To enable semantic inter-oper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d738ffca7ca90db0936d0b4dffa5bd35
https://doi.org/10.1016/j.ijar.2009.05.007
https://doi.org/10.1016/j.ijar.2009.05.007
Publikováno v:
IEEE Intelligent Systems. 24:27-36
A multidimensional ontology design paradigm based on Aristotelian definitions provides knowledge structure necessary for testing scientific theories that make probabilistic predictions.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da91809ccf2731bb3721d9df1591e0b0
https://doi.org/10.1109/mis.2009.15
https://doi.org/10.1109/mis.2009.15
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540897644
URSW (LNCS Vol.)
URSW (LNCS Vol.)
This chapter overviews work on semantic science . The idea is that, using rich ontologies, both observational data and theories that make (probabilistic) predictions on data are published for the purposes of improving or comparing the theories, and f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05d323cafc8ed2e3a7568882bc2f38b5
https://doi.org/10.1007/978-3-540-89765-1_2
https://doi.org/10.1007/978-3-540-89765-1_2
Autor:
Clinton Smyth, David Poole
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540273264
ECSQARU
ECSQARU
This paper is part of a project to match real-world descriptions of instances of objects to models of objects. We use a rich ontology to describe instances and models at multiple levels of detail and multiple levels of abstraction. The models are des
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::971ae2b6b9623547b6bc1efb8f8822f9
https://doi.org/10.1007/11518655_64
https://doi.org/10.1007/11518655_64