Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Fedor Kozlov"'
Publikováno v:
Environmental Sciences Proceedings, Vol 27, Iss 1, p 6 (2023)
The high-resolution long-term hydrometeorological “COSMO-CLM Russian Arctic hindcast” based on nonhydrostatic regional atmospheric model COSMO-CLM v.5.06 for the 1980–2016 period covering the North Atlantic, Barents, and Kara and Laptev Seas wi
Externí odkaz:
https://doaj.org/article/0d0696d98f2245ddb9b4cdb5ef21d391
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 162, Iss 16, Pp 60-65 (2014)
The paper describes applying NLP algorithms to the ontology-based e-learning system. The main goal of the project is to develop a tool creating additional relations between entities based on internal analysis of object property values in the e-learni
Externí odkaz:
https://doaj.org/article/5d9b08fc9086423cb40c2bfede5ea2fe
Autor:
Alexander Chernokulsky, Fedor Kozlov, Olga Zolina, Olga Bulygina, Igor I Mokhov, Vladimir A Semenov
Publikováno v:
Environmental Research Letters, Vol 14, Iss 4, p 045001 (2019)
Long-term changes in convective and stratiform precipitation in Northern Eurasia (NE) over the last five decades are estimated. Different types of precipitation are separated according to their genesis using routine meteorological observations of pre
Externí odkaz:
https://doaj.org/article/41f96d65c74b4522bfb279e7a3e63c00
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 162, Iss 16, Pp 60-65 (2014)
FRUCT-16
FRUCT-16
The paper describes applying NLP algorithms to the ontology-based e-learning system. The main goal of the project is to develop a tool creating additional relations between entities based on internal analysis of object property values in the e-learni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94268681d33cfdca2d2e6eace450d54e
https://www.fruct.org/publications/fruct16/files/Mou.pdf
https://www.fruct.org/publications/fruct16/files/Mou.pdf
Publikováno v:
Open Data for Education ISBN: 9783319304922
Open Data for Education
Open Data for Education
The chapter presents use cases and architecture of an educational platform built upon educational Linked Open Data. We review ontologies designed for educational data representation and discuss in detail the Enhanced Course Ontology for Linked Educat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c12f008a691baa4d55c9ca3a88f45850
https://doi.org/10.1007/978-3-319-30493-9_3
https://doi.org/10.1007/978-3-319-30493-9_3
Publikováno v:
WWW (Companion Volume)
The paper concerns estimation of students' knowledge based on their learning results in the ECOLE system. ECOLE is the online eLearning system which functionality is based on several ontologies. This system allows to interlink terms from different co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::488aaa7578c37d1a141e3ef1aed00069
https://doi.org/10.1145/2740908.2741743
https://doi.org/10.1145/2740908.2741743
Publikováno v:
Semantic Web Evaluation Challenges ISBN: 9783319255170
SemWebEval@ESWC
SemWebEval@ESWC
The paper describes a number of metadata extraction procedures based on rule-based approach and pattern matching from CEUR Workshop proceedings Cf. http://ceur-ws.org and its converting to a Linked Open Data (LOD) dataset in the framework of ESWC 201
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fde05141d9330ec9f5eb21bd80327d9c
https://doi.org/10.1007/978-3-319-25518-7_13
https://doi.org/10.1007/978-3-319-25518-7_13
Publikováno v:
Semantic Web Evaluation Challenges ISBN: 9783319255170
SemWebEval@ESWC
SemWebEval@ESWC
CEUR-WS.org is a well-known place for publishing proceedings of workshops and very popular among Computer Science community. Because of that it’s an interesting source for different kinds of analytics, e.g. measurement of workshop series popularity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fc24adc5fdcc131a6523583948c9e06
https://doi.org/10.1007/978-3-319-25518-7_12
https://doi.org/10.1007/978-3-319-25518-7_12
Autor:
Fedor Kozlov
Publikováno v:
Knowledge Engineering and the Semantic Web ISBN: 9783319117157
KESW
KESW
This paper presents a tool to convert linked data of an e-learning system to the SCORM standard. The conversion method is based on predefined templates. The tool receives content related to a specific course from semantic data stored in the ontology-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d56256c48092d2b4a917bec384d945b8
https://doi.org/10.1007/978-3-319-11716-4_20
https://doi.org/10.1007/978-3-319-11716-4_20
Autor:
Maxim Kolchin, Fedor Kozlov
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319120232
SemWebEval@ESWC
SemWebEval@ESWC
This paper presents results of a work on crawling CEUR Workshop proceedings(CEUR Workshop proceedings web site, URL: http://ceur-ws.org) web site to a Linked Open Data (LOD) dataset in the framework of ESWC 2014 Semantic Publishing Challenge 2014(ESW
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3d6a4bb59ee8c3de25434bfb07949fa
https://doi.org/10.1007/978-3-319-12024-9_11
https://doi.org/10.1007/978-3-319-12024-9_11