Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Suchanek, F."'
General-purpose knowledge bases (KBs) are a cornerstone of knowledge-centricAI. Many of them are constructed pragmatically from Web sources, and are thusfar from complete. This poses challenges for the consumption as well as thecuration of their cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1874::e9f62977589533829588a40896c7d1db
https://hdl.handle.net/21.11116/0000-000D-1C00-421.11116/0000-000D-1C02-2
https://hdl.handle.net/21.11116/0000-000D-1C00-421.11116/0000-000D-1C02-2
Akademický článek
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Equipping machines with comprehensive knowledge of the world's entities and their relationships has been a long-standing goal of AI. Over the last decade, large-scale knowledge bases, also known as knowledge graphs, have been automatically constructe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1874::c462bad001e8ef45c85fca9e7ccb84c7
https://hdl.handle.net/21.11116/0000-0007-F1A6-D21.11116/0000-0007-F1A8-B
https://hdl.handle.net/21.11116/0000-0007-F1A6-D21.11116/0000-0007-F1A8-B
Conference
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Publikováno v:
Datenbanksysteme für Business, Technologie und Web
Lecture Notes in Informatics
Lecture Notes in Informatics
In this paper, we present YAGO2s, the new edition of the YAGO ontology. The software architecture has been refactored from scratch, yielding a design that modularizes both code and data. This modularization enables us to add in new data sources more
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1874::a6a11ce99ec96ff149b63e52c180487d
https://hdl.handle.net/11858/00-001M-0000-0014-547D-5
https://hdl.handle.net/11858/00-001M-0000-0014-547D-5
Publikováno v:
23rd International Joint Conference on Artificial Intelligence
We present YAGO2, an extension of the YAGO knowledge base, in which entities, facts, and events are anchored in both time and space. YAGO2 is built automatically from Wikipedia, GeoNames, and WordNet. It contains 447 million facts about 9.8 million e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1874::c7c4f3de5db30e0ad6d27e03712a9362
https://hdl.handle.net/11858/00-001M-0000-0015-1AC8-9
https://hdl.handle.net/11858/00-001M-0000-0015-1AC8-9
Publikováno v:
VLDS (Very large data search)
VLDS (Very large data search), 2012
Very Large Data Search
CEUR Workshop Proceedings
VLDS (Very large data search), 2012
Very Large Data Search
CEUR Workshop Proceedings
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::026ee0e3d9bf60bc598e6fd1eeb026ed
https://hal.telecom-paris.fr/hal-02286613
https://hal.telecom-paris.fr/hal-02286613
Publikováno v:
Research Report
We present URDF, an efficient reasoning framework for graph-based, nonschematic RDF knowledge bases and SPARQL-like queries. URDF augments first-order reasoning by a combination of soft rules, with Datalog-style recursive implications, and hard rules
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1874::ed54bab1f9b47085f9d391c958752a25
https://hdl.handle.net/11858/00-001M-0000-000F-1556-311858/00-001M-0000-000F-1555-5
https://hdl.handle.net/11858/00-001M-0000-000F-1556-311858/00-001M-0000-000F-1555-5
Publikováno v:
Research Report
We present YAGO2, an extension of the YAGO knowledge base, in which entities, facts, and events are anchored in both time and space. YAGO2 is built automatically from Wikipedia, GeoNames, and WordNet. It contains 80 million facts about 9.8 million en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1874::e1471d657d6f2a571d391ee8dd0f0a8f
http://domino.mpi-inf.mpg.de/internet/reports.nsf/NumberView/2010-5-007
http://domino.mpi-inf.mpg.de/internet/reports.nsf/NumberView/2010-5-007
Publikováno v:
Research Report
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1874::ae2c98104be38d7bb66feef320c89a7e
https://hdl.handle.net/11858/00-001M-0000-0014-659F-811858/00-001M-0000-0014-659D-C
https://hdl.handle.net/11858/00-001M-0000-0014-659F-811858/00-001M-0000-0014-659D-C