TY - GEN
T1 - Omniscience and extensions – lessons learned from designing a multi-domain, multi-use case knowledge representation system
AU - Malaisé, Véronique
AU - Otten, Anke
AU - Coupet, Pascal
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2018.
PY - 2018
Y1 - 2018
N2 - With growing research across scientific domains and increasing daily publications volumes, it is essential to provide our users, at Elsevier, with up to date, comprehensive and to the point data. One of the key aspects of that offer is to have a global Knowledge Organization System (KOS) overarching scientific branches but also going deep enough into each domain to provide rich annotation or classification capacities. Knowing that the endeavor of creating one global “ontology of everything” is an utopia, we designed a dual/multi-vocabulary model where domain-specific extensions can be used in junction with a high-to-mid-level KOS covering the broad spectrum of scientific research. In this paper, we present our design model along with our updating procedure and our lessons learned in different use cases: the Evise submission system, the Topic Pages project and a Semantic Annotation Proof of Concept experiment in the field of Engineering.
AB - With growing research across scientific domains and increasing daily publications volumes, it is essential to provide our users, at Elsevier, with up to date, comprehensive and to the point data. One of the key aspects of that offer is to have a global Knowledge Organization System (KOS) overarching scientific branches but also going deep enough into each domain to provide rich annotation or classification capacities. Knowing that the endeavor of creating one global “ontology of everything” is an utopia, we designed a dual/multi-vocabulary model where domain-specific extensions can be used in junction with a high-to-mid-level KOS covering the broad spectrum of scientific research. In this paper, we present our design model along with our updating procedure and our lessons learned in different use cases: the Evise submission system, the Topic Pages project and a Semantic Annotation Proof of Concept experiment in the field of Engineering.
KW - Multi-ontology annotation Use-case fitness of knowledge organization system
KW - Multi-ontology design
UR - http://www.scopus.com/inward/record.url?scp=85067583924&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-03667-6_15
DO - 10.1007/978-3-030-03667-6_15
M3 - Contribución a la conferencia
AN - SCOPUS:85067583924
SN - 9783030036669
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 228
EP - 242
BT - Knowledge Engineering and Knowledge Management- 21st International Conference, EKAW 2018, Proceedings
A2 - Faron Zucker, Catherine
A2 - Napoli, Amedeo
A2 - Ghidini, Chiara
A2 - Toussaint, Yannick
PB - Springer Verlag
T2 - 21st International Conference on Knowledge Engineering and Knowledge Management, EKAW 2018
Y2 - 12 November 2018 through 16 November 2018
ER -