A hands-on BYOBIM workshop on Linked Building Data

https://bit.ly/3h59mvA

About us

Mads Holten Rasmussen

Business Development Director

Alexander Schlachter

VDC Coordinator

Overall agenda

Session 3.1 | 10:00-11:15

Why?
What tech?
Try yourself!

Coffee break ☕
Session 3.2 | 11:30-12:45

More advanced stuff 🤓😎💪

Lunch 🥗🥖🍴

Session 3.1

So why do we need this? 🤷
Towards a modular and extendable data representation of BIM data 🚀
Introduction to Linked Data and the Resource Description Framework (RDF) 🌐
Introduction to Linked Building Data (LBD) 🏠
Demonstration: LD-BIM 🕹️
Hands on 🤗 hope you're still awake! 🥱

Current state of BIM and how to improve it

"Our industry works in a document-centric manner rather than a data-centric one"

"Exchange of BIM-data as files makes data integration impossible"

"We need to switch from Today's monolitic nature of BIM to a network based one"

So how do we do this?

The idea is to use the existing infrastructure of the World Wide Web to mediate a distributed, network-based BIM

Web of documents

Web of data

Linked Data

The concept of Linked Data was coined in 2006 by sir Tim Berners-Lee, the inventor of the web, and is therfore not entirely new 👴👵

It basically refers to a set of best practices for publishing structured data on the Web

Linked Data Principles

Use URIs (Uniform Resource Identifiers) as names for things
Use HTTP URIs (web addresses) so that people can look up those names 👀
When someone looks up a URI, provide useful information, using the standards (RDF, SPARQL) (more on this later) 💡
Include links to other URIs so that they can discover more things 🔭🧭🗺️

Data is stored and hosted by the stakeholder who generated it and is responsible for it

Data can be shared with authenticated people or be made publicly available

The model data can be extended with Linked Open Data (product- and material properties, IoT, GIS)

Even the schemas are distributed, and can therefore extend one another

Current situation: Open standards in isolated closed worlds

Linked data benefit: Standards use, extend and refer to one another

RDF vs. tables

Most of us are used to storing information in spreadsheets (or relational databases (RDBs) for the more advanced), but in RDF we use a graph structure.

RDF: Resource Description Framework

But how do we get from tables to graphs?

Compared to RDBs, RDF makes sense from a logical perspective and not only from a data management perspective.

This benefit will be more obvious when we start to query the datasets!

Knowledge Graph

Querying the graph is as easy as decribing a path along its edges

SPARQL: SPARQL Protocol and RDF Query Language

A modular and extendable building representation

BOT: The Building Topology Ontology

bot:Zone

bot:Element

bot:Interface

Extending BOT

bot:Element? What can I do with that?

Sub-typing BOT classes

Sub-typing BOT properties

Introduction to Linked Building Data (LBD)

👷‍♀️👷‍♂️👨‍🔧👩‍🎓👨‍🏫🙋

Linked Building Data (LBD) Community Group

Established December 2014
195 members November 2022

A Community to gather best practice use cases in the field of BIM and Linked Data technologies

Regular meetings to share and discuss new use cases
Develop and share external ontologies within Linked Building Data
Current ontologies include OMG (Ontology for Managing Geometry), BOT (Core topological concepts of a building), BPO (Building Product Ontology) and many more
Everyone is invited to build on top of this foundation, extend the existing ontologies and share new ontologies to the group!