Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Vladimir Alexiev"'
Publikováno v:
Digital Presentation and Preservation of Cultural and Scientific Heritage, Vol 10 (2020)
We briefly describe Wikidata, its importance for GLAM institutions, iconographic authorities in Mix-n-Match. Then we propose an Icon Knowledge Graph Model comprising the entities: iconographer, iconographic school, herminia, icon, measurements, mater
Externí odkaz:
https://doaj.org/article/ab2352c1eb454ed6bb06da67f3a55b14
Autor:
Stefanos Vrochidis, Anastasia Moumtzidou, Ilias Gialampoukidis, Dimitris Liparas, Gerard Casamayor, Leo Wanner, Nicolaus Heise, Tilman Wagner, Andriy Bilous, Emmanuel Jamin, Boyan Simeonov, Vladimir Alexiev, Reinhard Busch, Ioannis Arapakis, Ioannis Kompatsiaris
Publikováno v:
Frontiers in Robotics and AI, Vol 5 (2018)
Analysts and journalists face the problem of having to deal with very large, heterogeneous, and multilingual data volumes that need to be analyzed, understood, and aggregated. Automated and simplified editorial and authoring process could significant
Externí odkaz:
https://doaj.org/article/3e185a801389489da47cfe722c5db7ba
Autor:
Vladimir Alexiev
Publikováno v:
Digital Presentation and Preservation of Cultural and Scientific Heritage, Vol 8 (2018)
The Galleries, Libraries, Archives and Museums (GLAM) sector deals with complex and varied data. Integrating that data, especially across institutions, has always been a challenge. Semantic data integration is the best approach to deal with such chal
Externí odkaz:
https://doaj.org/article/f601402674594300a7be205532cf4fe3
Autor:
Michel Dumontier, Alasdair J.G. Gray, M. Scott Marshall, Vladimir Alexiev, Peter Ansell, Gary Bader, Joachim Baran, Jerven T. Bolleman, Alison Callahan, José Cruz-Toledo, Pascale Gaudet, Erich A. Gombocz, Alejandra N. Gonzalez-Beltran, Paul Groth, Melissa Haendel, Maori Ito, Simon Jupp, Nick Juty, Toshiaki Katayama, Norio Kobayashi, Kalpana Krishnaswami, Camille Laibe, Nicolas Le Novère, Simon Lin, James Malone, Michael Miller, Christopher J. Mungall, Laurens Rietveld, Sarala M. Wimalaratne, Atsuko Yamaguchi
Publikováno v:
PeerJ, Vol 4, p e2331 (2016)
Access to consistent, high-quality metadata is critical to finding, understanding, and reusing scientific data. However, while there are many relevant vocabularies for the annotation of a dataset, none sufficiently captures all the necessary metadata
Externí odkaz:
https://doaj.org/article/87a6908c1991464f8c104ef7ffc724a9
Publikováno v:
Digital Presentation and Preservation of Cultural and Scientific Heritage, Vol 3 (2013)
The paper discusses the Europeana Creative project which aims to facilitate re-use of cultural heritage metadata and content by the creative industries. The paper focuses on the contribution of Ontotext to the project activities. The Europeana Data M
Externí odkaz:
https://doaj.org/article/d5437361306a45aab500c0b84eb1aede
Autor:
Vladimir Alexiev
Publikováno v:
Digital Presentation and Preservation of Cultural and Scientific Heritage, Vol 2 (2012)
The CIDOC CRM provides an extensive ontology for describing entities and properties appearing in cultural heritage (CH) documentation, history and archeology. CRM provides some means for describing information about properties (property types, attrib
Externí odkaz:
https://doaj.org/article/eb3b5f195a0d456da8f67e9cb500acb3
Autor:
M.Besher Massri, Blerina Spahiu, Marko Grobelnik, Vladimir Alexiev, Matteo Palmonari, Dumitru Roman
Researchers seeking to comprehend the state-of-the-art innovations in a particular field of study must examine recent patents and scientific articles in that domain. Innovation ecosystems consist of interconnected information about entities such as r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a053752124a70a7df13759afbe749812
https://hdl.handle.net/10281/416780
https://hdl.handle.net/10281/416780
Autor:
Vladimir Alexiev, Chris Taggart, Brian Elvesæter, Dumitru Roman, Bjørn Marius von Zernichow, Ahmet Soylu, Javier Paniagua, Boyan Simeonov
Publikováno v:
Semantic Web Journal
Company data, ranging from basic company information such as company name(s) and incorporation date to complex balance sheets and personal data about directors and shareholders, are the foundation that many data value chains depend upon in various se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61f0b0e5b78039f8cc8e2519c980fde7
https://hdl.handle.net/11250/2980609
https://hdl.handle.net/11250/2980609
Autor:
Svetla Boytcheva, Plamen Tarkalanov, Nikola Tulechki, Pavlin Gyurov, Nikola Rusinov, Vladimir Alexiev, Martin Kotov
This document presents the updated version of the data models developed until M24 of The Food Safety Market (TheFSM) project and their machine-readable representations. In the document we briefly present data types, data sources, and data formats. Sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::200d34ac14775d6499a525edbd483894
Autor:
Vladimir Alexiev, Nikola Tulechki
WP3 Data & Semantics Layer is a core WP of the project. Within this WP3, task T3.1 Data Modelling over Big Data Infrastructures has the following objectives: ● Explore partner data; ● Define competence questions that the data should be able to an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c51828c2cb8b72aa55802048945f604