Domain Concepts Research Articles

Quality of Life in Childhood Immune Thrombocytopenia: Revision of the Kids' ITP Tools (KIT)

Introduction New treatment approaches have emerged for pediatric ITP over the years, potentially impacting the health-related quality of life (HRQoL) of affected individuals. The Kids' ITP Tools (KIT) (Child self-report/Parent proxy-report and Parent impact-report) have gained international attention as valid tools for monitoring HRQoL in children with ITP and the impact on their parents. The questionnaires were recently updated to reflect changes in clinical management. However, it has also become common practice to evaluate the impact of new therapies using domain scales of QOL (i.e., sub-categories), which are not yet available for the KIT. Thus, the primary objective of this study was to establish domain scales for the KIT 2.0 that accurately quantify and identify specific aspects of HRQoL that are impacted in children with ITP and their parents. Methods The study was conducted in two sequential phases. Phase 1 involved ITP experts identifying key conceptual domains for the KIT questionnaires based on their clinical experiences. An online survey (“card sort survey”) was distributed, and experts sorted the current KIT 2.0 questions into domains, with domain headings suggested as well. Phase 2 involved a statistical approach (i.e., exploratory factor analysis (EFA)) to yield models with different number of domains. Data from children with ITP and their parents was utilized to develop the models, and the data was specifically from three previous international multicentre studies: ITP Consortium of North America (ICON1 study), UK Children's Hospital (UK ITP Paediatric Registry), and the Children's Hospital of Eastern Ontario (KIT international validation). Results In Phase 1, 24 experts completed the Child self-report card-sort survey, while 12 experts completed the Parent impact survey. There were two models that were derived for the Child Self-Report, with one having three domain scales and the other with four domain scales. The Parent Impact resulted in only one model that had three domain scales. In Phase 2, exploratory factor analysis (EFA) resulted in three models for each of the three questionnaires (Table 1), with the final models selected from the EFA and based on clinical interpretability. The four-domain model was selected for the Child Self-Report. The model had a higher Tucker Lewis Index (TLI) score and cumulative percentage of variance compared to the three-domain model. Though the cumulative percentage of variance was higher for the six-domain model, the model had two domains that each contained only two questions, which is not ideal for face validity. The final domain headings for the Child self-report were derived from the expert card sort survey: ITP Uncertainty; General symptoms; ITP challenges/disruptions; and Loss of control. The four-domain model was also selected for the Parent proxy-report on the basis of the same factors as the Child self-report. Likewise, the four-factor model had higher TLI score and relatively lower root mean square error of approximation (RMSEA) compared to the three-factor. The six-factor model had an ideal RMSEA, but contained one domain that had only two questions. The final domain headings are the same as the Child self-report as the context of the questions are the same. The four-domain model was selected for the Parent impact-report. Though both the four- and six-factor models contained two domains with only two questions each, the two-factor model was not ideal clinically as the questions within each of the two domains were not all similar. The headings were also derived from the expert card-sort: ITP Uncertainty; Treatment; Functional well-being; and Activities. Conclusion The revised KIT 2.0 aims to comprehensively summarize health-related quality of life in pediatric patients with ITP and their parents. The introduction of a domain structure derived from expert- and patient-data to the KIT will enable identification of specific aspects of QOL that are affected, which is imperative given the introduction of novel pharmaceutical agents in ITP treatment.

Evidentiality, discourse prominence and grammaticalization

Abstract This paper seeks to answer three questions: (1) What is the difference between grammatical and lexical indications of information source? (2) What qualifies an element for grammaticalization as an evidential? (3) How can we identify grammatical evidentials and instances of evidential grammaticalization? The answers proposed are as follows: (1) The difference between grammatical and lexical indications of information source is a difference between indications conventionalized as discourse secondary and indications conventionalized as potentially discourse primary. (2) A candidate for grammaticalization as an evidential must (i) have propositional scope, (ii) belong in the conceptual domain of information source, (iii) be frequent enough to pass the threshold for conventionalization, and (iv) be discourse secondary, but not by convention. (3) Grammatical evidentials and instances of evidential grammaticalization can be identified based on focusablity, addressability and modifiability.

Utilisation of semantic technologies for the realisation of data-driven process improvements in the maintenance, repair and overhaul of aircraft components

AbstractAircraft components are subject to numerous, complex and often manual maintenance, repair and overhaul (MRO) procedures to ensure long operating cycles. In order to remain competitive in the long term, in spite of increased cost pressure, MRO service providers must improve the efficiency of their processes through the targeted use of internal knowledge sources. Techniques from the fields of Artificial Intelligence (AI) and Data Mining (DM) have already proven their potential in diverse domains. However, the application of such data-driven approaches is also associated with some hurdles that need to be eliminated in advance. Data are generated at the business process level, known as Information Technology (IT, e.g. Enterprise Resource Planning (ERP) systems), as well as at the equipment level, known as Operational Technology (OT, e.g. test equipment). The integration of both forms the basis for improving the maintenance activities of diagnostics and maintenance scheduling. However, creating a unified view and understanding of the manifold data related to the maintenance process is a major problem due to the heterogeneous data sources and formats included. In this context, the use of Semantic Technologies (ST) can be helpful to overcome these challenges and provide the foundation for improved data management. The objective of this contribution is to introduce an ontology that delineates fundamental domain concepts, facilitating the augmentation of maintenance process data for individual aircraft components with pertinent contextual information. The result is being applied within the scope of a proof of concept aimed at supporting the coherent digital services diagnostics and short-term maintenance planning.

Theoretical Research into Leadership for Sustainability

Given the social and environmental challenges facing all organizations, there is a need for new leadership models, methods, and tools for implementing organizational change for sustainable development. Thus, throughout this article, it is reviewed the current approaches to leadership for sustainability in terms of their conceptual frameworks and extant research, which all advocate a balanced stakeholder approach to leadership to address the social and environmental issues related to sustainability and sustainable development. Being drawn from spiritual and centered on leadership theories, the article offers a Global Leadership for Sustainability model that incorporates and extends the conceptual domain beyond current approaches to leadership for sustainability. Spirituality, through the qualities of self-transcendence and interconnectedness, is critical for sustainability and fundamental for Global Leadership for Sustainability. The article also emphasizes the importance of cultivating a Global Mindset for Sustainability, which incorporates two ethical principles—an ethic of remote moral responsibility and an ethic of care and compassion. As a result, global leaders for sustainability become more committed to moving beyond satisfying stakeholders’ demands for economic returns, towards a more sustainable, triple-bottom line, balanced approach. Finally, we discuss implications for theory, research, and practice. Global leaders for sustainability are consequently more dedicated to adopting a triple-bottom-line, balanced approach that goes beyond meeting stakeholders' needs for financial gains. To change the paradigm of leadership and develop leaders who can cooperate to tackle difficult sustainability challenges, sustainability education is crucial. An up-to-date and broadened understanding of leadership is what ‘leadership for sustainability' means, putting sustainable values into practice, leading from a paradigm of living processes, and developing an inclusive, collaborative, and reflective leadership style. To make recommendations for best practices in leadership development, this study reviews and integrates literature on leadership, leadership development, and sustainability education. The following are some recommended pedagogical strategies for developing leaders: self-observation and awareness, contemplation, inquiry into various and ecological viewpoints, experiential learning, and community engagement.

Specifying features in terms of domain models: MuDForM method definition and case study

AbstractTo enable the people involved in a software development process to communicate and reason close to their area of knowledge, we are investigating and engineering a method that formalizes and integrates knowledge of multiple domains into domain models and into specifications in terms of those domain models. We follow an action research approach, starting with a diagnosis phase, in which we have previously defined a set of method objectives, and performed a systematic literature review. During action planning, we defined how we are going to develop the method—called Multi‐Domain Formalization Method (MuDForM). This paper reports on the methodical support for using a domain model as the terminology for feature specifications. During action taking, we defined an initial version of the method and set up case studies. During the evaluation phase, we performed a case study to validate how well the method helps in the specification of processes and to realize the case‐specific objectives of the customer. The case study pertains to the formalization of the ISO26262 standard for functional safety in the automotive domain. The created models are explained to the involved experts to ensure their consistency with the original text. We found that MuDForM is suitable to systematically formalize processes described in natural language, such that the resulting process models are fully expressed in terms of domain concepts and concepts from outside the domains and processes of interest. Further, during the specifying learning phase, we have extended our method with concepts, steps, and guidelines for grammatical analysis, for formalization of constraints, and for the specification of processes.

Improvement of the separation evolution law and separation position determination method of mining overburden strata

In view of the shortcomings of the traditional method of determining the position of the separation layer, according to the actual movement of the pressure balance arch and the rock layer in the overburden, the concept of the triangular separation domain is proposed, and the relationship between the range of the triangular separation domain and the mining distance and the mining fracture angle is established. The calculation method of rock load is modified. By analyzing the stress mode in the pressure arch of the separation zone, the mechanical model of the deflection calculation of each rock stratum is established. Combining the triangular separation zone with the new mechanical model, the calculation model of the dynamic evolution analysis of the separation zone and the calculation model of the composite beam in the separation zone are established. The traditional method and the improved method are used to determine the separation position in an actual mining example. The field exploration proves that the results of the improved method described in this paper are more accurate. The model predicts the position of overburden separation by comparing the deflection between adjacent strata on the same horizontal contact surface, and can accurately predict the position of separation above the working face.

Language support for verifying reconfigurable interacting systems

Reconfigurable interacting systems consist of a set of autonomous agents, with integrated interaction capabilities that feature opportunistic interaction. Agents seemingly reconfigure their interaction interfaces by forming collectives and interact based on mutual interests. Finding ways to design and analyse the behaviour of these systems is a vigorously pursued research goal. In this article, we provide a modelling and analysis environment for the design of such system. Our tool offers simulation and verification to facilitate native reasoning about the domain concepts of such systems. We present our tool named R-CHECK (please find the associated toolkit repository here: https://github.com/dsynma/recipe). R-CHECK supports a high-level input language with matching enumerative and symbolic semantics and provides modelling convenience for features such as reconfiguration, coalition formation, and self-organisation. For analysis, users can simulate the designed system and explore arising traces. Our included model checker permits reasoning about interaction protocols and joint missions.

57 Executive Functioning Correlates with Adaptive Behaviors in Wiedemann-Steiner Syndrome

Objective:Wiedemann-Steiner syndrome (WSS) is a rare Mendelian disorder of epigenetic machinery caused by a mutation in KMT2A, with hallmark features that include intellectual disability and developmental delay. Animal models have helped identify the critical roles KMT2A plays in prefrontal neuron maturation and executive function (i.e. working memory) development. However, the neurobehavioral phenotype of individuals with WSS, including executive functioning, remains poorly characterized. Accordingly, this study aimed to 1.) examine the neurobehavioral profile (adaptive, psychosocial, and executive functioning) associated with WSS and 2.) the correlations between executive functioning and these domains.Participants and Methods:A total of 25 mothers of individuals with WSS (13 females, Mean age=12.78 years, SD=7.88) completed a combination of parent-informant questionnaires. The caregivers completed the Adaptive Behavior Assessment System 3rd Edition (ABAS-3), the Strengths and Difficulties Questionnaire (SDQ), and a version of the Behavior Rating Inventory of Executive Function (BRIEF). Descriptive analyses were conducted to examine proportion of the sample with clinically significant concerns on the BRIEF and SDQ, and low to very low adaptive skills based on ratings on the ABAS-3. Partial correlations were computed to examine the relationships between overall executive functioning (BRIEF General Executive Composite, GEC) with adaptive domains (ABAS-3 Conceptual, Practical, Social), and psychosocial functioning (SDQ Emotional Problems, Conduct Problems, Hyperactivity, Peer Relations, Prosocial Behaviors) while accounting for age. Associations that survived Benjamin Hochberg correction are reported.Results:Of our sample, 64% were rated in the very elevated range for executive functioning problems (BRIEF GEC), with a greater proportion endorsing clinically significant concerns with behavior regulation (68%) relative to cognitive regulation (48%). Majority of participants was rated in the low or very low range for ABAS-3 General Adaptive Composite (72%), with a greater proportion showing problems in Practical (64%) and Conceptual Domains (64%) relative to Social Domain (44%). Among those who completed the SDQ, caregiver ratings implicate elevated Total Problems (90%) with greater concerns observed in Emotional Problems (62%), Hyperactivity (81%) and Peer Relationship difficulties (95%). After controlling for age, executive functioning difficulties were associated with weaker skills in the Conceptual (r=-0.56, p=0.003), Social (r=-0.44, p=0.028) and Practical domains (r=-0.51, p=0.009); as well as more Hyperactivity (r=0.49, p=0.025) and Conduct problems (r=0.58, p=0.007). Specifically, day-to-day challenges with executive functions were related to weaker adaptive skills in Self-Care (r=-0.54, p=0.006), Self-Direction (r=-0.53, p=0.007), and Communication (r=-0.49, p=0.01).Conclusions:Individuals with WSS are at risk for executive functioning deficits, which in turn may impact the development of and/or day-today application of adaptive skills and behavior regulation. Future clinical research should further explore the development and neurophysiology of executive functions among those with WSS with multidisciplinary methods, including behavioral, cognitive and neurobiological metrics. Those working with individuals with WSS may consider executive functioning interventions, which may yield indirect benefits to self-regulation and daily use of life skills.

Preliminary analysis of a clinical trial of children with autism spectrum disorder treated with DHA-rich marine Schizochytrium sp. oil and multi-vitamin/mineral complex

BackgroundAutism spectrum disorder (ASD) is a syndrome characterized by alterations in social interaction and communication, frequently associated with stereotyped patterns, such as repetitive behavior. Inflammation and oxidative stress are frequently observed in patients, and natural products that control these aspects can be an alternative for ASD treatment.Method:In this prospective case series study, we administered in 2–12 years-old children (n = 12) with severe ASD a commercial extract of marine Schizochytrium sp. oil, composed by 200 mg DHA and 2 mg eicosapentaenoic acid, associated to a multi-vitamin/mineral complex, daily for 12 weeks. Patients were evaluated by Childhood Autism Rating Scale (CARS) and Adaptive Behavior Assessment System Third Edition (ABAS-3) scales before and after the treatment, and had the urine analyzed.Results:Values obtained from CARS, general adaptive composite and social domains from ABAS-3 were statistically different after treatment. Although not statistically significant, conceptual and practical domains from ABAS-3 had the score increased in several patients after the intervention. Among these domains, communication and visual contact improved in all patients, and vocabulary, interaction, feeding, and food selectivity were enhanced in some of them. The total antioxidant capacity in urine increased after treatment, as well as some metabolites, like amino acids, which were exclusive in all patient’s urine after the administration of the product.Conclusions:These preliminary data show that the continuous use of marine Schizochytrium sp. oil and multi-vitamin/mineral complex can help control characteristic symptoms of ASD in children.

Developmental Politics, Urban and Agrarian Reforms, and Eminent Domain Laws in ‘Era Vargas’ (1930-1964): Some Sociolegal Historical Considerations on the Concept and Its Reflections on Nowadays Brazilian Land Law

The 'Era Vargas' brought a shift in Brazilian economic politics, using a developmentalist approach. Named after President Getúlio Vargas, who ruled as a dictator from 1930 to 1945 and was later elected from 1951 to 1954, the era focused on development through public enterprises, including petroleum, steel, and urban renewal. Vargas and his successors planned the Basic Reforms, encompassing labor, tax, state, administrative, urban, and agrarian reforms. However, conservative forces hindered agrarian and urban reforms, maintaining classical liberal property and eminent domain concepts. This study aims to revisit the history of these reforms, focusing on property and eminent domain, as they continue to shape contemporary land regulations and takings.

Contrasting the semantic typology biases of Deaf and hearing nonsigners in their conceptualization of time and space

AbstractThe mental lexicon offers a window into the configuration of conceptual domains such as space and time, which has been labeled as concrete the former and abstract the latter in the current embodiment approach to cognition. Space has a phonological and semantic value in sign languages, but not in spoken languages. Additionally, the representation of time by spatial means is robust in oral and sign languages. This research asks if Deaf signers and hearing nonsigners have the same conceptual organization of those domains. In their respective languages, sixty-two participants made a repeated free word association task. These results showed that the studied populations have a little overlap in the associates evocated for each clue. The analysis of the preferences of the semantic relations of the pairs clue-associate showed a greater tendency of the Deaf signers to establish thematic relations. In contrast, the hearing participants indicated a bias toward taxonomic relations. The results suggest that the abstractness or concreteness of concepts may be modulated by factors associated with linguistic modalities. However, in this compared free association norms factors related to the language deprivation of Deaf, the asymmetries in the cross-modal language contact and cross-modal borrowing were not exhaustively controlled.

Effect of audio and virtual reality distraction on the dental anxiety of children with mild intellectual disability.

Intellectual disability, is a neurodevelopmental disorder that typically manifests early in childhood and consists of both intellectual and adaptive functioning deficits in conceptual, social, and practical domains. It can be categorized into mild, moderate, severe, and profound based on its severity. Cognitive impairment may be observed predominantly in children with intellectual disabilities. Marked deficits in areas of learning, planning, communication, social participation, and personal independence in children with mild intellectual disabilities make behavior guidance and communication a challenge during dental treatments. The aim was to evaluate and compare the use of two different distraction tools, audio, and virtual reality (VR) on the dental anxiety of children with mild intellectual disability during dental treatment. Twenty children diagnosed with mild intellectual disability were equally divided into two groups. A cross-over study design consisting of two appointments 1 month apart was employed. In the first appointment, audio and VR distractions were provided to participants in Groups 1 and 2, respectively, and the distraction tools provided to the participants were interchanged in the second appointment. A trained observer recorded physiological parameters (pulse rate and oxygen saturation) and observational parameters (Venham's anxiety rating scale) during both appointments at three-time intervals. Statistical intra-group and inter-group comparison analyses were performed using Friedman's and Mann-Whitney U tests. A decrease in pulse, increase in oxygen saturation levels, and a decrease in Venham's Anxiety Rating Scores (statistically significant p<.05 / highly significant p<.01) was observed on introducing the distraction techniques in Groups 1 and 2 in both appointments. A statistically non-significant difference (p>.05) in physiological and observational parameters was observed between Groups 1 and 2 in both appointments. Audio and VR distraction techniques can be employed for behavior guidance in children with mild intellectual disability during restorative dental procedures.

There and Back Again: Extracting Formal Domains for Controllable Neurosymbolic Story Authoring

Story generators using language models offer the automatic production of highly fluent narrative content, but they are hard to control and understand, seizing creative tasks that many authors wish to perform themselves. On the other hand, planning-based story generators are highly controllable and easily understood but require story domains that must be laboriously crafted; further, they lack the capacity for fluent language generation. In this paper, we explore hybrid approaches that aim to bridge the gap between language models and narrative planners. First, we demonstrate that language models can be used to author narrative planning domains from natural language stories with minimal human intervention. Second, we explore the reverse, demonstrating that we can use logical story domains and plans to produce stories that respect the narrative commitments of the planner. In doing so, we aim to build a foundation for human-centric authoring tools that facilitate novel creative experiences.

Translating emotions

Abstract This paper is a corpus-based study of how translation affects the portrayal of emotion concepts. It aims to establish whether there are differences between translated texts and original texts in a given language as to how emotions are expressed and whether emotion conceptualization in the translated texts is closer to that of the source or the target language. To do so, the study focuses on one emotion in a specific language combination: the conceptual domain of anger in German and Spanish. In a first step, analysis of two large reference corpora provides a contrastive description of the concept anger as represented by prototypical emotion lexemes in both languages (Wut, Zorn and Ärger in German and ira, rabia, enojo in Spanish). Then, the parallel corpus COVALT is used to study three aspects of the expression of anger in Spanish translated texts: conceptual metaphor, physical effects and consequences of the emotion. Analysis of the use of conceptual metaphor shows that both source and target language preferences are present in the target texts. A more marked deviation from target language conventions can be observed in the translation of expressions referring to the physical effects or consequences of anger.

Niche Overlap and Proximity of Photosynthesis Concepts by Middle School Students' Cognitive Level

The purpose of this study is to analyze the niche overlap and proximity of photosynthetic domain concepts according to the cognitive level of middle school students. For this, the subjects were 204 7th grade students. The cognitive level of middle school students was classified using the questionnaire used in GALT. After that, data on the concept relevance score and understanding level were collected using the concept relevance and understanding level questionnaire. The understanding level analysis framework and analyzed using the classification criteria modified and supplemented by Lim et al. The niche overlap of concepts was visualized using McPherson's square method using the concept relevance score and understanding level score, and the proximity between concepts was visualized using the multidimensional scaling method. The results of this study are as follows. First, students in the formal operational stage recognized science concepts closely as a result of learning, and the niche overlap between science concepts was high. Second, even after learning, niche overlap and proximity between concepts unrelated to the domain were presented, which differed according to cognitive levels. Third, the same concept had different niche overlap and proximity according to the domains, and there was a difference according to the cognitive level. Through the results of this study, it is necessary to connect and explain related scientific concepts for students with low cognitive levels. In addition, when the same concept is presented in different domains, it is expected that the properties and characteristics of each domain are clearly distinguished and taught.

Could the Technology for Adaptive Learning Systems Come out of GBL?

Games based learning (GBL) has a related field that it can draw upon: intelligent tutoring systems (ITS). Acommon concern in both fields is adaptivity, whereby the system can automatically adapt to the user. In order to supportthis adaptation, an ITS will generally include a user model and may also have a formal domain model. Work in this areastarted optimistically some years ago, but seems to have either lost some of that initial enthusiasm or been diverted intoother directions. We scan recent ITS literature to help consider why this might be, and suggest how GBL may be the fieldbest placed to take the work forward again. Learner models have long been seen as useful for adaptive learning systems.They include information about the learner which allows the system to adapt the course of learning materials andexercises to the learner's particular characteristics. In order to achieve a good quality of adaptation to the user, a detailedmodel of the required domain knowledge is typically added. The user and domain models then have to be broughttogether to lay out a course of exercises for the learner to do, and to track progress as the knowledge is learned. It's anattractive research programme, but recent work has moved to new issues, such as MOOCs. The reasons for that are partlyopportunistic and economical, but also suggest a deeper problem with the research programme. It is a costly task todevelop a domain model, and a suitable learner model that can take advantage of it. We suggest that GBL is in a goodposition to push through this cost barrier, because much of the effort is already implicitly involved in the game designprocess, which typically has to be more rigorously planned out in order to make the game a good one. One might thusexpect the next breakthroughs in adaptive learning systems to come from GBL. We further argue that the advantages toresearch, offered by the ITS framework, are also potentially beneficial to the way we teach the subject of GBL to ourstudents on game development courses.

Automatic Construction of Educational Knowledge Graphs: A Word Embedding-Based Approach

Knowledge graphs (KGs) are widely used in the education domain to offer learners a semantic representation of domain concepts from educational content and their relations, termed as educational knowledge graphs (EduKGs). Previous studies on EduKGs have incorporated concept extraction and weighting modules. However, these studies face limitations in terms of accuracy and performance. To address these challenges, this work aims to improve the concept extraction and weighting mechanisms by leveraging state-of-the-art word and sentence embedding techniques. Concretely, we enhance the SIFRank keyphrase extraction method by using SqueezeBERT and we propose a concept-weighting strategy based on SBERT. Furthermore, we conduct extensive experiments on different datasets, demonstrating significant improvements over several state-of-the-art keyphrase extraction and concept-weighting techniques.

An Analysis of Adjustments and Choices in the Translation of Metaphors into Sorani Kurdish in English Prose Fiction

Within the realm of Cognitive Linguistics, Conceptual Metaphor Theory (CMT) delves into the intricate nature of metaphor as a fundamentally cognitive and conceptual phenomenon. It posits that metaphors comprise two interconnected conceptual domains, perpetually interacting with one another; while also manifesting themselves through another linguistic layer distinct from the conceptual one. Using the many research and analytic tools developed by the champions of the theory, this research investigates what conceptual adjustments, or simply downright alterations, the translators introduce into the metaphors in the Kurdish translation of two important works of English fiction: Wuthering Heights and Animal Farm. The analysis will draw upon many researchers’ argument within CMT that the conceptual traffic between the source and target domain of the linguistic metaphor has, by nature, cultural implications as well. In other words, any adjustments made in the conceptual metaphor from the English towards the Kurdish equivalent have conceptual, and, by extension, cultural implications feeding into it.

Comments on “Fractal set of generalized countable partial iterated function system with generalized contractions via partial Hausdorff metric”

The purpose of this work is to fill a gap in the article Priya and Uthayakumar (2022) [13]. To prove fractals (fixed points), the authors of that article tried to connect two independent conceptual domains. This results in their main theorem being wrong and becoming a conjecture. This paper scrutinizes and presents both the concepts above to demonstrate fractals in the settings posed in that article. Using a proper definition, the correct theorem to achieve the purpose of that article is discussed.

Taxonomy of market-level space organizations

Academic and industry experts build their careers on accurate and precise definitions and meanings of domain-specific terminology, whereas novice practitioners and lay-persons often conflate similar or similar-sounding terms to describe concepts in the same domain of interest. This is common in the space sector when individuals of different academic or practitioner backgrounds discuss “commercial” topics. In English, as in other languages, the word “space” is often followed by words such as “industry,” “industry segment,” “industrial base,” “market,” “ecosystem” and others. The practice of casually using words with ambiguous meanings may often be appropriate for informal discussion if it facilitates the communication and exchange of ideas and all parties generally understand the implications of the casual usage. This practice, however, is problematic for detailed and analytical applications requiring precision and order of thought. Grounded in contemporary organization theory and economic practice, this paper provides background discussions of different levels of analysis that characterize embedded hierarchical social systems of organizations as they pertain to space. This paper then recommends a hierarchical taxonomy for defining specific terms that describe organizations and activities within the space domain for use by practitioners, analysts and academics requiring more precise language to communicate their market analysis ideas. This taxonomy places specific terms within each level of analysis discussed and provides definitions of each, with the intention of stimulating critical discussion and potential modifications or improvements.