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David Emanuel Rua

dblp:313/9333 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Internet of things and sensor networks · 100%
Artificial intelligence
1 paper
Knowledge representation and reasoning · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks
iot interoperability
0.612022
Towards a Cross-domain Semantically Interoperable Ecosystem · WSDM 2022
Knowledge, reasoning and agents › Knowledge representation and reasoning
ontology
0.212022
Towards a Cross-domain Semantically Interoperable Ecosystem · WSDM 2022

Methods — techniques the papers use, named apart from their topics

semantic web technologies · 1.1
YearPublicationVenuePosition
2022 Towards a Cross-domain Semantically Interoperable Ecosystem
abstract
The increasing number of IoT devices and digital services offers cross-domain sensing and control opportunities to a growing set of stakeholders. The provision of cross-domain digital services requires interoperability as a key enabler to bridge domain specifics, while inferring knowledge and allowing new data-driven services.
Milenko Tosic, Fábio Coelho 0001, Barry Nouwt, David Emanuel Rua, Aleksandar Tomcic, Sasa Pesic
WSDM4