50 citations
- University College LondonGB4 papers
- Arcetri Astrophysical ObservatoryIT1 paper
- Brera Astronomical ObservatoryIT1 paper
- Consejo Superior de Investigaciones CientíficasES1 paper
- Delft University of TechnologyNL1 paper
- Department of SpaceIN1 paper
- Institut Cartogràfic i Geològic de CatalunyaES1 paper
- Instituto de Astrofísica de AndalucíaES1 paper
- Istituto di Radioastronomia di BolognaIT1 paper
- Lund UniversitySE1 paper
- Max Planck Institute for Radio AstronomyDE1 paper
- Max Planck SocietyDE1 paper
6 papers
Much of Geospatial Web Search Is Beyond Traditional GIS
Ilya Ilyankou, Stefano Cavazzi, James Haworth
Web search queries concern place far more often than existing labelling schemes suggest, yet the landscape of geospatial web search queries - what people ask of place, and how ofte…
Quantifying Geospatial in the Common Crawl Corpus
Ilya Ilyankou, Meihui Wang, Stefano Cavazzi +1
Large language models (LLMs) exhibit emerging geospatial capabilities, stemming from their pre-training on vast unlabelled text datasets that are often derived from the Common Craw…
CC-GPX: Extracting High-Quality Annotated Geospatial Data from Common Crawl
Ilya Ilyankou, Meihui Wang, Stefano Cavazzi +1
The Common Crawl (CC) corpus is the largest open web crawl dataset containing 9.5+ petabytes of data captured since 2008. The dataset is instrumental in training large language mod…
Reference study of CityGML software support: the GeoBIM benchmark 2019 -- Part II
Francesca Noardo, Ken Arroyo Ohori, Filip Biljecki +15
OGC CityGML is an open standard for 3D city models intended to foster interoperability and support various applications. However, through our practical experience and discussions w…
Predictive Analytics for Enhancing Travel Time Estimation in Navigation Apps of Apple, Google, and Microsoft
Pouria Amirian, Anahid Basiri, Jeremy Morley
The explosive growth of the location-enabled devices coupled with the increasing use of Internet services has led to an increasing awareness of the importance and usage of geospati…
SDSSJ143244.91+301435.3: a link between radio-loud narrow-line Seyfert 1 galaxies and compact steep-spectrum radio sources?
A. Caccianiga, S. Antón, L. Ballo +12
We present SDSSJ143244.91+301435.3, a new case of radio-loud narrow line Seyfert 1 (RL NLS1) with a relatively high radio power (P1.4GHz=2.1x10^25 W Hz^-1) and large radioloudness…