Project Goal (general)
The development of a computational ontology or ontology suite for astronautical and space science applications. A specific aim is to develop domain ontologies for that can be used across federated databases. It is based on the publications listed below. The scope/domain-of-interest is Space situational awareness(SSA) and the orbital and near-Earth space environment. A specific sub-domain is orbital debris ontology(1)(Rovetto, ESI 2015),space situational awareness(SSA) (2)(Rovetto & Kelso, 2016), general orbitology, space operations, and modeling activities.
- Ontoogies are under development, subject to revision, No claims to completeness are made.
- Open development - contact author to help develop the ontologies ##### Seeking
- funding, partners, subject-matter experts, developers to sustainably develop.
- Contract work, distance work
- Grants & professors or companies to apply for grants
- Author seeks a university degree studentship (toward a BS or MS in a space discipline; and a PhD in ontology, philosophy, or an interdisciplinary PhD with space).
Ontologies being developed include (Available upon request)
The Orbital Debris Ontology (ODO) (1)
Near Future: the ODO OWL file will be located at www.purl.org/space-ontology/odo.owl
The Space Situational Awareness Ontology (SSAO) (2) (possibly renaming to the Orbital Space Environment Ontology(OSO)
Near Future: the SSAO OWL file will be located at www.purl.org/space-ontology/ssao.owl
The SSAO has been used by an ontology-driver orrery project at NASA.
Orbital Ontology - a generic base ontology containing the core orbital terms used by ODO, SSAO and other terms (subject to revisiono, merger, etc.)
Each ontology may form a sub-domain of the overall scope, collectively forming a modular architecture for reuse is distinct applications. For example, an ontology of orbital space environment requires modeling the object, events, their interrelations; and the observations, measurements, and astrodynamic modeling thereof.
The ontologies aiim to be used by and developed for NASA ontologies and data resources, e.g., NASA SWEET, IVOA ontologies, and elsewhere.
Project Goals (specific)
- one or more orbital and SSA terminology
- a general-purpose orbital ontology (OO) to ontologically model any orbit from inputted instance data (data on particular satellites), and ontologies for classifying orbital debris and other orbital space objects.
- formal, conceptual and philosophical analysis of fundamental astronautical, astrodynamic and orbital concepts
- Data sharing and integration among orbital debris or space object catalogues
- Teaching Innovation by applying ontologies to space visualizations/graphical-simulations, and conceptual modeling.
- Reducing complexity of programming by providing a thorough data model for software to draw upon
- Identifying applications in space agencies where it may be of benefit, e.g., interconnection with NASA SWEET ontologies
(1)“An Ontological Architecture for Orbital Debris Data”, Rovetto, R.J. (Aug 6 2015) Earth Science Informatics, 9(1), 67-82 (submitted 2014). Springer Berlin Heidelberg. DOI: 10.1007/s12145-015-0233-3
(2)“Preliminaries of a Space Situational Awareness Ontology”, Rovetto,R.J. & T.S. Kelso. (Forthcoming) Advances in Astronautical Sciences, Univelt. Presented at 26th AIAA/AAS Space Flight Mechanics meeting, Napa, CA, USA Feb 14-18th, 2016.
(3) _“The Orbital Space Environment and Space Situational Awareness Domain Ontology – Towards an International Information System for Space Data”, Rovetto, R.J. The Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS) 2016, (Paper, and Poster presentation)
(4) “Orbital Space Environment and Space Situational Awareness Domain Ontology”, Rovetto, R.J. In CEUR workshop proceedings for The Joint Ontology Workshops, at the 9th International Conference of Formal Ontology for Information Systems (FOIS) Early Career Symposium, Annecy, France July 2016.
(5) “Ontology Architectures for the Orbital Space Environment and Space Situational Awareness Domain”, Rovetto, R.J. International Workshop on Ontology Modularity, Contextuality, and Evolution at the 9th International Conference on Formal Ontology in Information Systems.
- (6) “An Ontology for Satellite Databases” (forthcoming, Earth Science Informatics, 2017)
- (7) “Space Object Ontology” URL= https://philpapers.org/archive/ROVSOO.pdf (forthcoming)
Robert J. Rovetto * Emails: rrovetto[at]terpalum.umd.edu, robert.rovetto[at]amu.apus.edu, firstname.lastname@example.org * Author ORCID * Author GitHub homepage * Alumnus of Univ.of Maryland, and The State University of New York. Some space studies coursework from American Military University.
History: Author Bio-Contextual-Efforts
This project has been a desired PhD topic since 2011 when I thought of applying ontology to the orbital debris (OD) domain (1) might help improving the OD hazard by facilitating sharing and integration (verifying documents/references available upon request. Hat tip to David Vallado, AGI.). I’ve hoped to use it toward a foot-in-the-door to space eduation and entering the space sector (ideally NASA or ESA). However, since 2011 I’ve not been able to find a PhD or undergraduate position for this as a thesis. Additionally in that time, I pursued an ongoing search to do public service in maritime search and rescue. Finally and unfortunately, in the time since ideation of this project, persons and companies have seen the potential utility of it and took my ideas. I therefore urgently seek a funded opportunity to sustainably work on this project in a team environment with professionals in the required disciplines of astrodynamics, astroinformatics, computer science, and ontology engineering. I have developed many paper cocepts for co-authorship with interested parties, and have identified grants we may apply to. In pursuing this project I seek to find an opportunity to complete a STEM or interdisciplinary space degree (e.g., astronautics, astronautical engienering, astrodynamics, etc).
Backgorund - Ontology
Computational ontologies are computer-readable generic terminologies with a formal semantics. They provide data and knowledge models for software applications to draw from and reason over. Their class terms (and formal definitions) provide semantic annotation of database terms, which provides meaning to data. Ontology engineering is related to the fields of information/data science, linked-data, semantic web, artificial intelligence, and database management. Semantic interoperability, data-exchange, data-fusion, data-mining, data-extraction, and knowledge representation are practical aims of ontologies. Concepts and distinctions from philosophical and formal ontology are often used.
Copyright (c) Robert J. Rovetto 2011-2017.