• Aucun résultat trouvé

Preface

N/A
N/A
Protected

Academic year: 2022

Partager "Preface"

Copied!
1
0
0

Texte intégral

(1)

Preface

The 10th Workshop on Ontology Design and Patterns targets topics relating to high quality ontology design. The workshop series addresses topics centered around quality in ontology design as well as ontology design patterns (ODP) in Semantic Web data and ontology engineering. The aim of the workshop is twofold: 1) providing an arena for discussing patterns, pattern-based ontologies, systems, datasets, etc., and 2) broadening the pattern community by developing its own ’discourse’ for discussing and describing relevant problems and their solutions.

WOP2019 was held as a full day workshop in Auckland, New Zealand, co- located with the 18th International Semantic Web Conference (ISWC2019). Its program included an invited talk by Mark Gahegan, paper presentations, poster session, breakout groups and plenary discussion. Altogether, WOP2019 received 14 submissions. From them, the Program Committee selected 4 research papers, 2 short papers, and 1 pattern paper. All pattern papers were also presented in the poster session.

We are very grateful to members of the Program Committee without whom the workshop would not have been possible. We thank our invited speaker, Mark Gahegan. We also thank the organizers of the 18th International Semantic Web Conference for hosting WOP2019 at ISWC 2019. Finally, we thank all the au- thors for their submissions.

Further information about WOP2019 can be found at the workshop website:

http://ontologydesignpatterns.org/wiki/WOP:2019

September 2019 Krzysztof Janowicz

Adila Alfa Krisnadhi Mar´ıa Poveda Villal´on Karl Hammar Cogan Shimizu

Copyright 2019 for this paper by its authors. Use permitted under Creative Com- mons License Attribution 4.0 International (CC BY 4.0).

Références

Documents relatifs

Ontology Design Patterns (ODPs) are intended to help guide domain experts in ontology engineering work, by packaging reusable best practice into small blocks of ontology

In this paper we show how different ontology design patterns along with state-of-the-art ontology engineering methodologies help during the construction of ontologies, by describing

Consequences: Benefits: (i) Reasoning and inference of spatial data quality component values for existing sensor observations (ii) Detection of incon- sistencies during the

For the purpose of formalizing the relations used in the GENIA corpus, we make use of sev- eral biomedical domain ontologies: the Information Artifact Ontology 1 (IAO), the

In this task some types of patterns, as content patterns, can be identified as suitable to be reused by means of tools (e.g., XD Tools); however, there are other types of

The presented work introduces a generic Stimulus-Sensor-Observation ontology design pattern intended as a building block for work on the Semantic Sensor Web and Linked Sensor Data..

In this paper we discuss the use of information extraction techniques involving lexico-syntactic patterns to generate ontological in- formation from unstructured text and either

CLIB is probably the most developed repository of knowledge patterns, and has a scope that goes beyond that of content ontology patterns in trying to represent also event