Infrastructure for rapid open knowledge network development
AI Magazine
; 43(1):59-68, 2022.
Article
in English
| ProQuest Central | ID: covidwho-1802013
ABSTRACT
The past decade has witnessed a growth in the use of knowledge graph technologies for advanced data search, data integration, and query-answering applications. The leading example of a public, general-purpose open knowledge network (aka knowledge graph) is Wikidata, which has demonstrated remarkable advances in quality and coverage over this time. Proprietary knowledge graphs drive some of the leading applications of the day including, for example, Google Search, Alexa, Siri, and Cortana. Open Knowledge Networks are exciting they promise the power of structured database-like queries with the potential for the wide coverage that is today only provided by the Web. With the current state of the art, building, using, and scaling large knowledge networks can still be frustratingly slow. This article describes a National Science Foundation Convergence Accelerator project to build a set of Knowledge Network Programming Infrastructure systems to address this issue.
Computers--Artificial Intelligence; Text categorization; Software; Collaboration; Datasets; Computer science; Infrastructure; Artificial intelligence; Data search; Classification; Data integration; Annotations; Search engines; Coronaviruses; Knowledge representation; COVID-19; 51121:Software Publishers
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Language:
English
Journal:
AI Magazine
Year:
2022
Document Type:
Article
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