Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Blake Regalia"'
Autor:
Zilong Liu, Meilin Shi, Krzysztof Janowicz, Blake Regalia, Stephanie Delbecque, Gengchen Mai, Rui Zhu, Pascal Hitzler
Publikováno v:
The Semantic Web ISBN: 9783031069802
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::047db18cb869d2c1dd486e3299de3c47
https://doi.org/10.1007/978-3-031-06981-9_19
https://doi.org/10.1007/978-3-031-06981-9_19
Research in geographic information science has not yet found clear answers to the questions of what geographic information is about or what a geographic information system (GIS) contains. This lack of consensus makes it especially challenging to teac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8924cd7adc5eb8afa7f514606d044dce
https://agile-giss.copernicus.org/articles/2/6/2021/
https://agile-giss.copernicus.org/articles/2/6/2021/
Publikováno v:
Transactions in GIS. 23:601-619
Publikováno v:
MODELS Companion
In systems engineering practices, system design and analysis have historically been performed using a document-centric approach where stakeholders produce a number of documents that represent their views on a system under development. Given the ad-ho
Autor:
Rui Zhu, Blake Regalia, Ni Lao, Gengchen Mai, Krzysztof Janowicz, Meilin Shi, Sathya Prasad, Ling Cai
Many geoportals such as ArcGIS Online are established with the goal of improving geospatial data reusability and achieving intelligent knowledge discovery. However, according to previous research, most of the existing geoportals adopt Lucene-based te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5efb4f1d63594d74a96edcc5015028d
Autor:
Rui Zhu, Bo Yan, Ni Lao, Blake Regalia, Ling Cai, Gengchen Mai, Krzysztof Janowicz, Meilin Shi
Publikováno v:
Mai, G, Janowicz, K, Cai, L, Zhu, R, Regalia, B, Yan, B, Shi, M & Lao, N 2020, ' SE-KGE : A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic Lifting ', Transactions in GIS, vol. 24, no. 3, pp. 623-655 . https://doi.org/10.1111/TGIS.12629
Learning knowledge graph (KG) embeddings is an emerging technique for a variety of downstream tasks such as summarization, link prediction, information retrieval, and question answering. However, most existing KG embedding models neglect space and, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad2fd86c1475d210243fa2c1371422c3
Autor:
Trevor Lazarus, Maarten Fröhlich, Patrick Martinent, Gengchen Mai, Krzysztof Janowicz, Blake Regalia, Stephanie Delbecque, Pascal Hitzler
Publikováno v:
Semantic Web. 9:545-555
Publikováno v:
Transactions in GIS. 20:382-398
Publikováno v:
The Semantic Web ISBN: 9783319934167
ESWC
ESWC
In this dataset description paper we introduce the GNIS-LD, an authoritative and public domain Linked Dataset derived from the Geographic Names Information System (GNIS) which was developed by the U.S. Geological Survey (USGS) and the U.S. Board on G
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23a1aae6d427a26bfe6f77ded8423c89
https://doi.org/10.1007/978-3-319-93417-4_34
https://doi.org/10.1007/978-3-319-93417-4_34
Publikováno v:
Advances in Geocomputation ISBN: 9783319227856
In this research, we first aim at developing data analytics that can derive insights about how people from different regions communicate and connect via mobile phone calls and physical movements. We uncover the digital divide (geographical segregatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82a9a92062988cb5efa00853740a6dc7
https://doi.org/10.1007/978-3-319-22786-3_14
https://doi.org/10.1007/978-3-319-22786-3_14