Abstract. The orbital debris problem presents an opportunity for inter-agency and international cooperation toward the mutually beneficial goals of debris prevention, mitigation, remediation, and improved space situational awareness (SSA). Achieving these goals requires sharing orbital debris and other SSA data. Toward this, I present an ontological architecture for the orbital debris domain, taking steps in the creation of an orbital debris ontology (ODO). The purpose of this ontological system is to (I) represent general orbital debris and SSA domain knowledge, (II) structure, and standardize where needed, orbital data and terminology, and (III) foster semantic interoperability and data-sharing. In doing so I hope to (IV) contribute to solving the orbital debris problem, improving peaceful global SSA, and ensuring safe space travel for future generations.Keywords. Orbital debris; space debris; astroinformatics; informatics; ontology; ontological engineering; space situational awareness; semantics; data sharing SYNOPSIS / EXTENDED ABSTRACTThe orbital debris problem presents an opportunity for inter-agency and international cooperation toward the mutually beneficial goals of: Debris detection, identification, tracking and orbit propagation Orbital debris prevention, mitigation and remediation Increased Space Situational Awareness (SSA), and thus improved capacity for planetary defense, and thus… Avoidance and minimization of damage to existing and future operational space-borne systems The safe navigation into and through LEO, MEO, GEO and beyond; the preservation of safe space travel for future generations It specifically offers an opportunity for space organizations share their orbital debris data in supporting and achieving these goals. Toward these goals I propose an ontological framework whose aims, in turn, are: A. To represent the relevant knowledge and entities in the orbital debris domain B. Foster data-sharing among orbital debris information systems (databases, space object catalogs, etc.), and perhaps form terminological and other standards in the relevant communities The representation of orbital knowledge, data, and other entities (A) are tasks that can be accomplished within artificial intelligence, knowledge engineering, formal ontology, and ontology development and engineering. The idea is to explore whether ontology, as a partial approach, can contribute in solving the orbital debris problem by helping to improve SSA, in part via data-exchange and fusion. This proposal broadly calls for the creation of a data-sharing and interoperability (if not integration) system, of which ontologies can be a part, for orbital debris data, and potentially an international joint orbital debris catalog. Toward this, international parties are to share their orbital debris data.Communities and Domains of Interest: space situational awareness, aerospace computing, astrodynamics, (astro)informatics, orbital/space debris, ontology engineering, formal ontology, applied ontology, knowledge representation and ...
Abstract. The goal of this paper is two-fold: first, to emphasize causality in disease ontology and knowledge representation, presenting a general and cursory discussion of causality and causal chains; and second, to clarify and develop the River Flow Model of Diseases (RFM). The RFM is an ontological account of disease, representing the causal structure of pathology. It applies general knowledge of causality using the concept of causal chains. The river analogy of disease is explained, formal descriptions are offered, and the RFM disease definition is refined by describing causal chains in terms of causal relations. The definition is updated to coincide with the actual RFM classes found in its upper-level ontology, YAMATO, which brings to light some challenges in developing both YAMATO and the RFM. The RFM is also discussed in relation to another ontological account of disease. Strategies are offered toward interoperability between these theories.
Abstract. This paper demonstrates the development of ontology for satellite databases. First, I create a computational ontology for the Union of Concerned Scientists (UCS) Satellite Database (UCSSD for short), called the UCS Satellite Ontology (or UCSSO). Second, in developing UCSSO I show that The Space Situational Awareness Ontology (SSAO)--an existing space domain reference ontology--and related ontology work by the author (Rovetto 2015, 2016) can be used either (i) with a database-specific local ontology such as UCSSO, or (ii) in its stead. In case (i), local ontologies such as UCSSO can reuse SSAO terms, perform term mappings, or extend it. In case (ii), the author_s orbital space ontology work, such as the SSAO, is usable by the UCSSD and organizations with other space object catalogs, as a reference ontology suite providing a common semantically-rich domain model. The SSAO, UCSSO, and the broader Orbital Space Environment Domain Ontology project is online at https://purl.org/space-ontology and GitHub. This ontology effort aims, in part, to provide accurate formal representations of the domain for various applications. Ontology engineering has the potential to facilitate the sharing and integration of satellite data from federated databases and sensors for safer spaceflight.
Abstract. This paper defends, and emphasizes the importance of, spaceflight, broadly construed to include human and unmanned spaceflight, space science, exploration and development. Within this discourse, I provide counter-replies to remarks by physicist Dr. Steven Weinberg against my previous support of human spaceflight. In this defense of peaceful spaceflight I draw upon a variety of sources. Although a focus is human spaceflight, human and unmanned modes must not be treated as an either-or opposition. Rather, each has a critical role to play in moving humanity forward as a spacefaring species. In the course of this communication, I also stress NASA's (and other space agency's) perennial role as a science and technology-driver, and its function to provide a stable and unified platform for space programs.
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