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Craig Schlenoff
Researcher at National Institute of Standards and Technology
Publications - 149
Citations - 2342
Craig Schlenoff is an academic researcher from National Institute of Standards and Technology. The author has contributed to research in topics: Ontology (information science) & Knowledge representation and reasoning. The author has an hindex of 22, co-authored 145 publications receiving 2148 citations. Previous affiliations of Craig Schlenoff include Harbin Engineering University & University of Burgundy.
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The Process Specification Language (PSL) Overview and Version 1.0 Specification
TL;DR: This document describes Version 1.0 of the Process Specification Language (PSL), an interchange format designed to help exchange process information automatically among a wide variety of manufacturing applications such as process modeling, process planning, scheduling, simulation, workflow, project management, and business process re-engineering tools.
Journal ArticleDOI
Towards a core ontology for robotics and automation
Edson Prestes,Joel Luis Carbonera,Sandro Rama Fiorini,Vitor A. M. Jorge,Mara Abel,Raj Madhavan,Angela Locoro,Paulo J. S. Gonçalves,Paulo J. S. Gonçalves,Marcos Barreto,Maki K. Habib,Abdelghani Chibani,Sébastien Gérard,Yacine Amirat,Craig Schlenoff +14 more
TL;DR: A core ontology that encompasses a set of terms commonly used in Robotics and Automation is introduced along with the methodology it has been adopted.
Proceedings ArticleDOI
An IEEE standard Ontology for Robotics and Automation
Craig Schlenoff,Edson Prestes,Raj Madhavan,Paulo J. S. Gonçalves,Howard Li,Stephen Balakirsky,Thomas R. Kramer,Emilio Miguelanez +7 more
TL;DR: The goal of this working group is to develop a standard ontology and associated methodology for knowledge representation and reasoning in robotics and automation, together with the representation of concepts in an initial set of application domains.
Unified Process Specification Language: Requirements for Modeling Process
TL;DR: A selection of photos from the 2016/17 USGS report on quantitative hazard assessments of earthquake-triggered landsliding and liquefaction at the USGS Deepwater Horizon disaster.
Proceedings Article
A Robot Ontology for Urban Search and Rescue | NIST
Craig Schlenoff,Elena R. Messina +1 more
TL;DR: The Robot Ontology is described, how it fits in to the overall Urban Search and Rescue effort, how the effort will be proceeding in the future, and how the knowledge representation must be flexible enough to adapt as the robot requirements evolve.