Applying Model-Based Data Engineering to Evaluate the Alignment of Information Modeled Within JC3IEDM, MSDL, and MATREX-FOM

The need for a common representation of entities and their relations to support the easier composition and federation of independently developed solutions in support of the user has been identified and addressed in several papers presented during recent simulation interoperability workshop. One of the underlying assumptions is that standards derived from the same conceptual domain can easily be converted into each others, as they deal with the same concepts. In a project conducted for the U.S. Army’s Program Executive Office (PEO) Soldier, three of such solutions for military operations (with focus on the land forces) were utilized to capture the underlying concepts of land warfare: the Joint Consultation, Command and Control Information Exchange Data Model (JC3IEDM), the Military Scenario Description Language (MSDL), and the Modeling Architecture for Technology, Research, and Experimentation (MATREX) Federation Object Model (FOM). When we applied the methods of Model-based Data Engineering (MBDE) we observed, that these three standards are not conceptually as well aligned as we assumed. We identified several significant gaps. The findings of this paper will contribute to support designers, engineers and project managers in a better way to understand, (1) which data are needed operationally, (2) how gaps can be identified regarding supporting standards, (3) how the gaps can be closed, and (4) what data transformation must be conducted when dealing with different standards in data-rich integration projects to ensure cost-efficient and operationally effective solutions

Ontological Implications of the Levels of Conceptual Interoperability Model

The Levels of Conceptual Interoperability Model (LCIM) was developed to cope with the different layers of interoperation of modeling & simulation applications. It introduced technical, syntactic, semantic, pragmatic, dynamic, and conceptual layers of interoperation and showed how they are related to the ideas of integratability, interoperability, and composability. This paper will be presented in the invited session Ontology Driven Interoperability for Agile Applications using Information Systems: Requirements and Applications for Agent Mediated Decision Support at WMSCI 2006

Software Reuse for Modeling and Simulation

In Modeling and Simulation, as a distinct area of software engineering, there is much interest in being able to reuse software components. However, the practice of simulation development and maintenance is different from software engineering because of several factors. In this paper, a brief overview of the foundations of interoperability, and how they apply to the reuse of model based software is explored, as well as examination of current practices to include M&S software repositories. Some recommendations, based on research at the Virginia Modeling Analysis and Simulation Center (VMASC) and practice at the Raytheon Company Network Centric Services, are made

Exploring Primitives of Meaning in Support of Interoperability

Semantic mismatch between systems is due, in part, to the grouping together of terms who have defined meaning in different levels of granularity, and which are composed together into different groupings by distinct systems. It has been proposed that making use of elemental concepts (referred to here as primitives of meaning) can assist in interoperability, but seeking to define all terms at a level of granularity equal to or greater than that of all involved systems. By decomposing a system’s groups of composed terms into primitives of meaning, the building blocks that can be reassembled into the compositions required by another group (of another system, for instance) can be made apparent. While such a de-composition could serve as the basis for an interoperability enabler, having the decomposition available as a common descriptor to highlight areas of semantic misalignment should prove in itself useful. Taking doctrinal statements for US small unit infantry actions as one semantic system, we show how the elemental ideas that are grouped together into commands can be identified and isolated for reconstruction into other groupings. This is the first research step towards relying on primitives of meaning for interoperability

Applying the levels of conceptual interoperability model in support of integratability, interoperability, and composability for system-of-systems engineering

The Levels of Conceptual Interoperability Model (LCIM) was developed to cope with the different layers of interoperation of modeling & simulation applications. It introduced technical, syntactic, semantic, pragmatic, dynamic, and conceptual layers of interoperation and showed how they are related to the ideas of integratability, interoperability, and composability. The model was successfully applied in various domains of systems, cybernetics, and informatics

Using Simulation Systems for Decision Support

This chapter describes the use of simulation systems for decision support in support of real operations, which is the most challenging application domain in the discipline of modeling and simulation. To this end, the systems must be integrated as services into the operational infrastructure. To support discovery, selection, and composition of services, they need to be annotated regarding technical, syntactic, semantic, pragmatic, dynamic, and conceptual categories. The systems themselves must be complete and validated. The data must be obtainable, preferably via common protocols shared with the operational infrastructure. Agents and automated forces must produce situation adequate behavior. If these requirements for simulation systems and their annotations are fulfilled, decision support simulation can contribute significantly to the situational awareness up to cognitive levels of the decision maker

Applying the Levels of Conceptual Interoperability Model in Support of Integratability, Interoperability, and Composability for System-of-Systems Engineering

The Levels of Conceptual Interoperability Model (LCIM) was developed to cope with the different layers of interoperation of modeling & simulation applications. It introduced technical, syntactic, semantic, pragmatic, dynamic, and conceptual layers of interoperation and showed how they are related to the ideas of integratability, interoperability, and composability. The model was successfully applied in various domains of systems, cybernetics, and informatics

Composable M&S web services for net-centric applications

Service-oriented architectures promise easier integration of functionality in the form of web services into operational systems than is the case with interface-driven system-oriented approaches. Although the Extensible Markup Language (XML) enables a new level of interoperability among heterogeneous systems, XML alone does not solve all interoperability problems users contend with when integrating services into operational systems. To manage the basic challenges of service interoperation, we developed the Levels of Conceptual Interoperability Model (LCIM) to enable a layered approach and gradual solution improvements. Furthermore, we developed methods of model-based data engineering (MBDE) for semantically consistent service integration as a first step. These methods have been applied in the U.S. in collaboration with industry resulting in proofs of concepts. The results are directly applicable in a net-centric and net-enabled environment

A Governance Reference Model For Service-oriented Architecture-based Common Data Initialization A Case Study Of Military Simulation Federation Systems

Military simulation and command and control federations have become large, complex distributed systems that integrate with a variety of legacy and current simulations, and real command and control systems locally as well as globally. As these systems continue to become increasingly more complex so does the data that initializes them. This increased complexity has introduced a major problem in data initialization coordination which has been handled by many organizations in various ways. Serviceoriented architecture (SOA) solutions have been introduced to promote easier data interoperability through the use of standards-based reusable services and common infrastructure. However, current SOA-based solutions do not incorporate formal governance techniques to drive the architecture in providing reliable, consistent, and timely information exchange. This dissertation identifies the need to establish governance for common data initialization service development oversight, presents current research and applicable solutions that address some aspects of SOA-based federation data service governance, and proposes a governance reference model for development of SOA-based common data initialization services in military simulation and command and control federations