An Advanced Meta-meta Model for Visual Language Design and Tooling

How can enterprise modelling tools be designed to support rapid, flexible visual language definition without requiring programming skills or costly redevelopment cycles?

These slides accompany the paper: An Advanced Meta-meta Model for Visual Language Design and Tooling

Visual languages are central to enterprise modelling — from ArchiMate and BPMN to UML and custom domain-specific notations — but the tools that support them have a persistent problem: they are built around fixed meta models and hard-coded notations, making it difficult to adapt them for new purposes, different stakeholder groups, or evolving modelling needs. The result is a chronic mismatch between what tools offer and what practitioners actually need, compounded by the high cost and skill requirements of extending or replacing those tools.

This paper addresses the problem at its root by presenting an advanced meta-meta model — the layer that governs how concepts, relationships, properties, and visual representations are defined within a modelling environment. The model supports arbitrary meta model definition, multiple simultaneous visual languages for the same semantic model, rich property types, multi-level modelling, run-time extension without coding, and polymetric diagramming (where visual properties like size and colour reflect underlying data). It targets a property graph implementation, which offers a more natural fit for the richly interconnected structures of enterprise modelling than traditional relational or object databases. The design draws critically on two decades of experience with the EVA toolset — cataloguing what works well and what its architecture cannot support — alongside a systematic review of Eclipse EMF, MetaEdit+, XModeler, RDF/OWL, and property graph systems.

For researchers and tool builders working on the next generation of enterprise modelling environments, this paper provides both a rigorous theoretical foundation and a practically motivated design.

Originally published as a journal article by Graham McLeod in the EMISA Journal (Enterprise Modelling and Information Systems Architectures), with a companion presentation at the Models at Work stream, PoEM 2022.

The Power of Principles

Why are architecture principles the highest-return activity in enterprise architecture — and how do you define good ones?

Architecture principles are among the most powerful tools available to enterprise architects — yet they are frequently underdefined, poorly worded, or neglected altogether. This 2014 presentation by Graham McLeod makes the case that well-crafted principles, spanning business, application, information, and technology domains, represent the highest return on effort of almost any EA activity: a relatively small investment that shapes decisions across the entire organisation for years. Drawing on experience across banking, assurance, and telecommunications, the presentation covers what distinguishes a principle from a rule, how to structure principles effectively using the short name, statement, rationale, and implications format, and how to engage stakeholders in the definition process. A particularly useful concept is the "stealth payload" — the idea that while principle statements tend to be irrefutable, the implications are where the real architectural direction is embedded. The presentation also addresses compliance monitoring, showing how architecture assets can be mapped against principles and tracked over time to drive meaningful governance.

Originally presented by Graham McLeod at the Enterprise Architecture Conference Europe 2014 & Business Process Management Conference Europe 2014, June 2014.

More Insights Without More Effort: Polymetric Modelling and Visual Intelligence in Enterprise Architecture

How can enterprise architects extract far more insight from their models without significantly increasing the effort required?

The effort required to collect, validate, analyse, and report on enterprise architecture information is itself one of the biggest obstacles to EA delivering value — and yet most approaches simply accept that effort as a given. This 2013 presentation by Graham McLeod challenges that assumption directly, arguing that the right combination of integrated meta models, inferencing, derived values, and visual techniques can dramatically increase the insight produced by an EA repository without requiring proportionally more effort to maintain it. A particularly compelling section introduces polymetric diagramming — a technique that modifies the visual properties of model symbols (size, colour, shape, border width, position) based on the actual data values of the objects they represent, turning what would otherwise be static structural diagrams into rich, information-dense pictures that exploit the human visual system's innate ability to detect patterns, movement, and anomalies. Worked examples show function models where symbol width reflects delay time, process models where width maps to duration, height to cost, and colour intensity to resource consumption, and application maps clustered and sized by investment or number of non-standard interfaces. The underlying architecture — a separation of logical model types from their visual representations, with polymetric specifications scripted in a flexible DSL — is implemented in Pharo Smalltalk using the Mondrian and Roassal graphics libraries and the EVA Graphical Modeler. For practitioners wrestling with the gap between the volume of data in their EA repositories and the quality of insight they can extract from it, this presentation offers both a compelling vision and a concrete technical path.

Originally presented by Graham McLeod at an Inspired event, September 2013.

Semantic Technologies and the Web of Meaning: An Introduction for Enterprise Practitioners

What are semantic technologies, how do they work, and why do they matter for enterprise architecture and information management?

The World Wide Web was built to share documents between humans — but semantic technologies, as Tim Berners-Lee foresaw from the outset, make it possible to share and query meaning between machines at web scale. This 2011 lecture by Graham McLeod, delivered at the University of Cape Town, provides a thorough and accessible introduction to the semantic web stack for enterprise practitioners.

Starting from first principles — what semantics means, and why the distinction between syntax and meaning matters — the lecture works through the core W3C standards: RDF as a graph-based data model where every fact is uniquely addressable via a URI, SPARQL as the query language that can span multiple distributed datasets as a single conceptual database, OWL as the web ontology language that enables classification, inferencing, and richer knowledge organisation, and linked open data as the practical realisation of these ideas at internet scale.

A particularly illuminating section demonstrates how two independently published datasets about the same book — one in English, one in French — can be automatically merged and queried together simply by sharing a common URI and a few bridging statements, illustrating the power of the approach for enterprise data integration. Real-world applications covered include Siri, DBPedia, semantic video indexing, and geo-spatial data integration.

For enterprise architects and information architects grappling with data integration, knowledge management, or the foundations of AI-driven systems, this lecture provides both the conceptual grounding and the practical vocabulary needed to engage seriously with semantic technologies.

Originally presented by Graham McLeod as a guest lecture at the University of Cape Town, June 2011.

Meta Meta Model Extensions for Managing Large-Scale Collaborative EA Modelling

How do you extend enterprise architecture meta models to keep large-scale collaborative modelling manageable?

When enterprise architecture modelling moves beyond a single expert working alone — across teams, organisations, time zones, and languages — the meta model that was perfectly adequate for small-scale work begins to break down. Ownership conflicts, information overload, incompatible versions, and variable data quality all emerge as serious practical obstacles. This 2008 presentation by Graham McLeod, delivered at EMMSAD 2008 (Exploring Modelling Methods for Systems Analysis and Design), addresses these challenges head-on with a set of formal but pragmatic extensions to EA meta models and meta meta models, developed through real-world experience building and operating the EVA collaborative repository. The core constructs introduced include context — a powerful, reusable mechanism that operates at the meta meta level and addresses domain, ownership, authority, timeframe, status, and language in a unified way; relationship typing, which brings precision to how model elements connect; and a model type abstraction that subsumes graphical models, documents, reports, and user interfaces under a single coherent concept. A three-layer object architecture — implemented in Smalltalk — is shown to be essential for the flexibility required, with filters implemented as a specialisation of model type and time, version, and baseline tracking unified through relationships. The resulting conceptual model is notably compact given the range of challenges it addresses, and the presentation is candid about both the expressiveness achieved and the performance challenges encountered in implementation. For practitioners building or evaluating EA repository tooling, this is a rare account of what the meta model level actually needs to look like in production.

Originally presented by Graham McLeod at EMMSAD 2008 (Exploring Modelling Methods for Systems Analysis and Design), Montpellier, France, June 2008.

Service Orientation in Enterprise Architecture: Beyond Surface-Level Support

How should enterprise architecture frameworks and meta models be extended to provide genuine, deep support for service orientation?

Service orientation reshapes how applications are conceived, how systems are integrated, and ultimately how value is delivered to customers — yet most enterprise architecture frameworks treat it as a technical implementation detail rather than an architectural concern that spans the full enterprise stack. This 2008 presentation by Graham McLeod, delivered in his role as CTO of PROMIS Solutions AG, argues that achieving deep support for service orientation in EA requires rethinking frameworks and meta models from the ground up. The presentation distinguishes carefully between technical, application, information, and business services, and between logical service definitions — independent of technology and implementation — and their physical realisation, insisting that the mapping between these two levels is essential for meaningful planning and governance. A key architectural insight is the treatment of modern applications not as monolithic systems but as malleable bundles of functions exposed as services, where components can be replaced without impacting overall service delivery — a view that has significant implications for how application architecture is modelled. The presentation also addresses what it calls "enrichment": the additional concepts needed to govern services effectively, including intent (benchmarks, goals, objectives), responsibility and ownership, cross-cutting concerns (risk, cost, quality), and built-in computation and analysis. Archimate is proposed as a candidate notation for distinguishing domains and logical versus physical layers, with worked examples showing how service cross-referencing and traceability can be achieved in practice.

Originally presented by Graham McLeod at an Inspired/PROMIS event, December 2008.

Breaking the EA Bottleneck: Collaborative and Distributed Enterprise Modelling

How can enterprise architecture move beyond the central "oracle" model to become a truly collaborative, distributed discipline?

The central architect as "oracle" — a single expert who holds all the knowledge and dispenses answers to those willing to make the pilgrimage — is a familiar and dysfunctional pattern in enterprise architecture. It creates bottlenecks, slows delivery, produces models that lack buy-in, and makes it almost impossible to integrate the perspectives of business, process, data, application, and technology teams who each hold a piece of the picture. This 2007 tutorial by Graham McLeod, delivered at the CAiSE conference in Trondheim, tackles this problem head-on with a comprehensive framework for collaborative, distributed enterprise modelling. The tutorial covers the full stack of enablers: shared meta models and naming standards as the foundation for integration; a structured process for identifying participants, educating them, collecting architecture elements, organising hierarchies, and building cross-domain relationships; and tool support that enables distributed teams to capture, relate, model, and share architecture content across geographies and time zones. A particularly useful section distinguishes the roles of framework, meta model, method, and repository tool — clarifying how each contributes to making collaboration work in practice. The benefits are concrete: higher quality inputs, faster results, greater organisational awareness, and significantly higher levels of architectural compliance, precisely because the people who need to act on the architecture helped build it.

Originally presented by Graham McLeod as a tutorial at CAiSE 2007 (19th International Conference on Advanced Information Systems Engineering), Trondheim, Norway, 2007.

What Should an EA Management Tool Actually Do?

What are the requirements for a truly effective enterprise architecture management tool — and how should one be designed?

The tools most organisations use to manage enterprise architecture — spreadsheets, presentation software, drawing tools — were built for entirely different purposes, and the gap shows. This 2005 presentation by Graham McLeod takes a rigorous look at what a purpose-built EA management tool actually needs to do, synthesising requirements from Zachman, Spewak, Schekkerman, TOGAF, and real-world RFPs into a comprehensive checklist spanning repository design, meta-modelling, collaboration, security, reporting, and governance support. The presentation then describes the design of Archi/WebModeler, Inspired's own web-based EA repository, and how its architecture addresses these requirements — including a runtime-extensible meta model, rich content types, inferencing and computation capabilities, visual modelling, and scenario management. Particularly notable is the emphasis on making the tool useful not just to enterprise architects but to the full range of stakeholders involved in EA: strategic planners, programme managers, risk managers, sponsors, and domain architects. For practitioners evaluating EA tooling or building the case for a dedicated repository, this presentation remains a clear-eyed benchmark of what good looks like.

Originally presented by Graham McLeod at an Inspired event, 2005.

Enhancing Enterprise Architecture Models with Cost, Quality and Risk Dimensions

How can enterprise architecture models be extended to capture cost, quality, and risk — and why does it matter?

Enterprise architecture models do an excellent job of mapping the structural relationships between business, process, application, information, and technology domains — but they have traditionally said little about cost, quality, and risk, the dimensions most relevant to the executives and managers who need to act on them. This 2003 presentation by Graham McLeod, delivered at the University of Cape Town in collaboration with Promis Solutions AG, makes the case that these dimensions are not separate concerns requiring separate tools — they can be woven directly into existing EA models. Drawing on the Inspired EA framework and its EVA repository, the presentation shows how cost centres can be linked to architecture elements and values derived through declarative formulas, how quality metrics can be attached to products, processes, applications, and platforms, and how risk can be incorporated as a further dimension of the model. A particularly useful insight is that most of the cost elements organisations need are already present in their architecture models — they simply need attributes added and a mechanism for accumulation and apportionment. The result is a single integrated view that allows strategic planners, architects, and business managers to evaluate current positions and future scenarios with proper appreciation for the full implications of their decisions.

Originally presented by Graham McLeod at the University of Cape Town, June 2003.