A video showing how Object-Role Modeling is used in the aerospace industry. Legals: Images under license. This video affirms no working relationship or endorsement of, for or by any other person or entity and provides the opinions of FactEngine, Australia, only. Any and all logo use here under fair use legislation, and/or as happenstance of presenting commentary, and in no way implies endorsement of, for or by any entity. Errata: Verbalisation read out should read: For each SubserviceType, exactly one of the following holds: - some StandardSubserviceType is that SubserviceType - some MissionSpecificSubserviceType is that SubserviceType

A video on the user of Object-Role Modeling in the Aerospace industry. Pt 2 at: https://www.youtube.com/watch?v=WHw... Legals: Images under license. This video affirms no working relationship or endorsement of, for or by any other person or entity and is provides the opinions of FactEngine, Australia, only. Any and all logo use here under fair use legislation, and/or as happenstance of presenting commentary, and in no way implies endorsement of, for or by any entity.

An introduction to Metadata Lineage in the Boston conceptual modelling software. Tracking the lineage of where the definition of model elements of your enterprise model emanates is an important process and tying it directly to your conceptual modelling tool of choice. Metadata Lineage empowers you to find the information you need to maintain your conceptual models. Metadata lineage includes the documentation and tracking of metadata of conceptual models to source documentation, such as cardinality rules and model element definitions. Throughout the lifecycle of a conceptual model Metadata Lineage enables quality data governance and understanding of your conceptual models. Legals: Images under license. This video affirms no working relationship or endorsement of, for or by any other person or entity and is provides the opinions of FactEngine, Australia, only. Any and all logo use here under fair use legislation, and/or as happenstance of presenting commentary, and in no way implies endorsement of, for or by any entity.

Watch how to do Knowledge Extraction and Metadata Lineage with Fact Engine Knowledge Language (FEKL). You'll see how to: 1. Dynamically load models into Boston using FEKL; 2. Metadata Lineage in Boston; 3. Knowledge Extraction in Boston;

Generating a Data Vault schema using the Boston conceptual modelling software, where a schema as either an Object-Role Model, Entity Relationship Diagram or Property Graph Schema is converted to a Data Vault schema.

A video showing Enterprise Modeling under the new paradigm of relational knowledge graphs and graph/relational paradigm. FactEngine Knowledge Language (FEKL) plays a key role in the Boston conceptual modelling software and FactEngine. The modern data layer is a Semantic View, providing a business language view over your data warehouse/lake along side traditional Entity Relationship Diagram and Property Graph Schem views. Links ================= Knowledge Extraction and Metadata Lineage: https://youtu.be/0tg5MeAF04w?si=11q... Keyword Extraction: https://youtu.be/AgcJvHIWiuI?si=Hyi... Derivations: Derivations containing basic math functions are implemented in Boston/FactEngine. We are currently working on more advanced functions/date-functions.

Creating and Object-Role Model in the Boston conceptual modeling software.

A video showing how to generate Microsoft Word documentation of a model stored in the Boston conceptual modelling software. Object-Role Modeling is renowned for the 'verbalisation' of models in natural language. This can be exploited to generate documentation of a model for review and sign-off by stakeholders for model development.

A video showing how to exploit a large language model (LLM) atificial intelligence (AI) to do Keyword Extraction and to find Fact Types within a document.

A look at Derived Fact Types in Object-Role Modeling and Computed Columns in database tables/node types.

A video showing the new FactEngine Knowledge Language (FEKL) loader to automatically create an Object-Role Model in the Boston conceptual modelling software from a series of natural language FEKL statements.

How to select a Fact Type in the Boston Object-Role Modeling software.

A video showing how to select a Fact Type in an Object-Role Model view in the Boston conceptual modelling software.

This video describes how to establish Fact Type Readings on Fact Types within an Object Role Model using the Boston conceptual modelling tool.

This video shows how to create a Fact Type using the Toolbox in Boston v2.8

This video demonstrates the various ways to create Fact Types within the Boston conceptual modelling tool. Boston is a Fact-Based Modelling tool based on ORM (Object-Role Modelling)

This video demonstrates how to create a Fact Type Reading for a Fact Type in Boston.

This video demonstrates how to create Internal Uniqueness Constraints against Fact Types in Boston. The video also shows how to Objectify a Fact Type in Boston.

Frequency Constraints in Object-Role Modelling described.

Metadata Storytelling overview of the structure and purpose of a conceptual model using artificial intelligence. Boston's October '23 release includes a Virtual Business Analyst that uses AI to provide narrative of a database. The same Virtual BA can be used to ask intelligent questions about the model in natural language.

A crash course in Object-Role Modeling. Learn the fundamentals of Object-Role Modeling. =====Udemy Course - Mastering Object-Role Modeling======= Sign up to the Mastering Object-Role Modeling course on Udemy to speak with ORM professionals at their own level. https://www.udemy.com/course/master...