Zobrazeno 1 - 10
of 991
pro vyhledávání: '"DBpedia"'
Publikováno v:
Library Hi Tech, 2021, Vol. 41, Issue 2, pp. 474-500.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/LHT-07-2019-0131
Publikováno v:
IEEE Access, Vol 11, Pp 92209-92224 (2023)
DBpedia is one of the most resourceful link databases today, and users need to use query syntax (e.g., SPARQL) to access information in DBpedia databases. However, not all users know SPARQL, so a natural language query system can be used to translate
Externí odkaz:
https://doaj.org/article/0c4858f2f62a4c639462941cb8889a45
Autor:
Samah Salem, Fouzia Benchikha
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 8, Pp 5552-5563 (2022)
For many years, data quality is among the most commonly discussed issue in Linked Open Data (LOD) due to the huge volume of integrated datasets that are usually heterogeneous. Several ontology-based approaches dealing with quality problems have been
Externí odkaz:
https://doaj.org/article/acb08d7f6f4a40fbb4a42b3a91e215d2
Publikováno v:
o-bib. Das offene Bibliotheksjournal, Vol 10, Iss 2 (2023)
Diversity Searcher is a tool originally developed to help analyse diversity in news media texts. It relies on automated content analysis and thus rests on prior assumptions and depends on certain design choices related to diversity. One such design c
Externí odkaz:
https://doaj.org/article/503d4a713dc740c98e834630065b3e81
Autor:
Alexandra Provo
Publikováno v:
KULA, Vol 6, Pp 1-15 (2022)
When metadata becomes knowledge, opportunities for multiplicity and risks of harm and exclusion arise. As GLAM institutions contribute to the Semantic Web, we must pay attention to the implications of participation. While the Semantic Web grew out of
Externí odkaz:
https://doaj.org/article/cc74674aa0e54fedb162cdd61cb1a764
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Journal of Information Science Theory and Practice, Vol 9, Iss 2, Pp 66-82 (2021)
Recommender Systems have gained immense popularity due to their capability of dealing with a massive amount of information in various domains. They are considered information filtering systems that make predictions or recommendations to users based o
Externí odkaz:
https://doaj.org/article/e1875757431c4820a8f7798edc35f7be
Autor:
Aarthi Dhandapani, Viswanathan Vadivel
Publikováno v:
IEEE Access, Vol 9, Pp 46900-46910 (2021)
The Semantic Web contains a large amount of data in the form of knowledge bases. Question Answering system is the most promising way of retrieving data from the available knowledge base to the end-users, to get the appropriate result for their questi
Externí odkaz:
https://doaj.org/article/ee39bdb16d0748938e1bb3171391d297