Ontology Engineering 12th International Experiences and Directions Workshop on OWL, OWLED 2015, co-located with ISWC 2015, Bethlehem, PA, USA, October 9-10, 2015, Revised Selected Papers /
This book constitutes the thoroughly refereed post-workshop proceedings of the 12th OWL: Experiences and Directions Workshop, OWLED 2015, held in Bethlehem, PA, USA, in October 2015, co-located with ISWC 2015, the International Semantic Web Conference. The 18 revised papers presented were carefully...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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Σειρά: | Lecture Notes in Computer Science,
9557 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- General Terminology Induction in OWL
- OBOWLMorph: Starting Ontology Development from PURO Background Models
- A similarity based approach to omission finding in ontologies
- An Ontology For Supporting The Evolution of Virtual Reality Scenarios
- Collaborative editing of Ontologies using Fluent Editor and Ontorion
- Integrating Ontology Negotiation and Agent Communication
- Lifting EMMeT to OWL Getting the Most from SKOS
- Experiences with Aber-OWL, an ontology repository with OWL EL reasoning
- Towards a Rule Based Distributed OWL Reasoning Framework
- Improving OWL RL reasoning in N3 by using specialized rules
- On the Capabilities and Limitations of OWL Regarding Typecasting and Ontology Design Pattern Views
- How to Keep a Reference Ontology Relevant to the Industry: a Case Study from the Smart Home
- An INSPIRE-based vocabulary for the publication of Agricultural Linked Data
- Towards a Core Ontology of Occupational Safety and Health
- Towards a Visual Notation for OWL: A Brief Summary of VOWL
- Snap-SPARQL: A Java Framework for working with SPARQL and OWL
- An Application Ontology to Help Users of a Geo-decision Software Understanding their Data
- Ontology Engineering: From an Art to a Craft - The Case of the Data Mining Ontologies.