Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Daniel Obraczka"'
Publikováno v:
Information, Vol 15, Iss 8, p 509 (2024)
With Knowledge Graphs (KGs) at the center of numerous applications such as recommender systems and question-answering, the need for generalized pipelines to construct and continuously update such KGs is increasing. While the individual steps that are
Externí odkaz:
https://doaj.org/article/c483e8a934d94e0fbcddd0bbbdd535e8
Publikováno v:
Digital Transformation ISBN: 9783662650035
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29b287ca830c16220e5acfd76eccf157
https://doi.org/10.1007/978-3-662-65004-2_10
https://doi.org/10.1007/978-3-662-65004-2_10
Autor:
Daniel Obraczka, Erhard Rahm
Publikováno v:
SN Computer Science. 3
The flexibility of Knowledge Graphs to represent heterogeneous entities and relations of many types is challenging for conventional data integration frameworks. In order to address this challenge the use of Knowledge Graph Embeddings (KGEs) to encode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e51a8b83ca7342e03cfc639cb4a56bf
https://doi.org/10.1007/s42979-022-01417-1
https://doi.org/10.1007/s42979-022-01417-1
Autor:
Mofeed M. Hassan, Kleanthi Georgala, Daniel Obraczka, Klaus Lyko, Axel-Cyrille Ngonga Ngomo, Kevin Dreßler, Tommaso Soru, Mohamed Ahmed Sherif
Publikováno v:
KI - Künstliche Intelligenz. 35:413-423
The Linked Data paradigm builds upon the backbone of distributed knowledge bases connected by typed links. The mere volume of current knowledge bases as well as their sheer number pose two major challenges when aiming to support the computation of li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4a7c716dbb617969f393a5080a4229d
https://doi.org/10.1007/s13218-021-00713-x
https://doi.org/10.1007/s13218-021-00713-x
Autor:
Daniel Obraczka, Erhard Rahm
Publikováno v:
KEOD
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cad325b6af9ff5500357393172e5bbde
https://doi.org/10.5220/0010646400003064
https://doi.org/10.5220/0010646400003064
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030192730
ICWE
ICWE
The provision of links across RDF knowledge bases is regarded as fundamental to ensure that knowledge bases can be used joined to address real-world needs of applications. The growth of knowledge bases both with respect to their number and size deman
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49f79c73f55020525b415fd71d3b305d
https://doi.org/10.1007/978-3-030-19274-7_31
https://doi.org/10.1007/978-3-030-19274-7_31
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030307950
ISWC (2)
ISWC (2)
The data quality improvement of DBpedia has been in the focus of many publications in the past years with topics covering both knowledge enrichment techniques such as type learning, taxonomy generation, interlinking as well as error detection strateg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f0103332046ad0f06c8a53ccf9f62fb
https://doi.org/10.1007/978-3-030-30796-7_7
https://doi.org/10.1007/978-3-030-30796-7_7
Publikováno v:
Lecture Notes in Computer Science
Lecture Notes in Computer Science-The Semantic Web
The Semantic Web ISBN: 9783319934167
ESWC
The Semantic Web
Lecture Notes in Computer Science-The Semantic Web
The Semantic Web ISBN: 9783319934167
ESWC
The Semantic Web
With the growth of the number and the size of RDF datasets comes an increasing need for scalable solutions to support the linking of resources. Most Link Discovery frameworks rely on complex link specifications for this purpose. We address the scalab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4343ef8da8a61e81fca4c296f3042874