Have you ever wondered what exactly makes up the digital spaces we interact with every day? Based on a recent presentation exploring Yuk Hui’s work, “On the Existence of Digital Objects,” we are diving deep into the philosophical and technical origins of our modern digital world. This fascinating overview bridges computational structures (often called ontologies in computer science) with Ontology, the philosophical study of Being.
Here is a breakdown of how the digital world evolved from simple links to complex, individualized entities.
Beyond the Virtual: Our Digital Milieu
Let’s start with a reality check: digital environments like Facebook, YouTube, and Building Information Modeling (BIM) systems are no longer merely “virtual”. They are integral parts of our real existence. We currently exist in a state of “technological ecstasy”—a condition of constant acceleration and “becoming” that is driven by the anxiety of the “new”.
In this environment, we have to ask: what exactly is a digital object?
The word “data” comes from the Latin datum, meaning “the given”. In the digital age, data acts as “materialized givenness”. However, raw data alone isn’t enough; a true digital object is conceptually formed by combining data with metadata, resulting in transmittable and storable computer information.
The Double Movement of Objectification
Creating the modern web required a “double movement” to integrate information and reality.
- The Objectification of Data: This involves formalizing raw data into objects through specific metadata schemes.
- The Dataification of Objects: This is the process of assigning unique codes and tags to physical things so they can be integrated into the digital milieu.
This movement represents a massive shift from early internet concepts. Ted Nelson originally envisioned the internet as a “Web of Links”—a literary network of hypertext focused on non-sequential writing and two-way links. However, the concept of a true “digital object” was impossible within this literary scope. It was Tim Berners-Lee’s “Semantic Vision” that transformed the web into a collaborative imagination between minds and machines. By using structured metadata, Berners-Lee allowed machines to actually understand and process the semantic meaning of information.
Philosophy Meets Tech: Individualizing the Digital
To understand this evolution philosophically, we can look to the ideas of Gilbert Simondon. Simondon argued that technological alienation occurs when machines are misunderstood and excluded from the “world of significations” and human culture.
He proposed the concept of “individualization,” where a technical object becomes its own independent individual by developing its own environment. Technical objects mature from abstract to concrete; the more functions an object integrates coherently into itself, the more concrete it becomes.
For digital objects, this stabilizing environment—or “associated milieu”—includes data structures, users, and networks. As digital machines become more autonomous, humans risk becoming deskilled operators, yet digital objects still absolutely require human activity to function, creating a deeply interdependent relationship.
The Evolution of Code: HTML, XML, and the Semantic Web
This philosophical maturation is mirrored perfectly in the evolution of web coding languages. Languages like GML, SGML, and HTML share a core technical tendency: keeping what something is (content/matter) separate from how it is structured (form/metadata). Form is what gives access to the universal, allowing machines to process data without needing to fully understand its deeper meaning.
However, HTML relies on “weak” metadata based on the “principle of least power”. As the internet exploded with multimedia in the late 1990s, search engines struggled to properly find or understand data.
This limitation led to a massive evolutionary leap:
- XML: Developed to fix HTML’s lack of flexibility, XML provided stricter syntax rules and served as a bridge for complex development.
- Web Ontologies: Built on XML syntax, ontologies regulate the semantic meaning of objects so machines can manipulate data. Each object-predicate is identified by a unique URL, which acts as an ID within the digital milieu.
- RDF and OWL: These advanced languages use first-order logic (subject + predicate + object) to translate information, moving us toward an AI-motivated web where machines can, as Berners-Lee noted, “pretend to think”.
Conclusion
The individualization of digital objects is an ongoing, dynamic process defined by universality, interoperability, and extensibility. As we continue to build and navigate this complex digital milieu, it is worth remembering the words of philosopher Martin Heidegger: modern technology is dangerous because it imposes a way of thinking that treats everything as a resource to be controlled. Yet, Heidegger also noted that “where danger is, grows the saving power also”. By thinking through our technological frameworks carefully and deeply, we might just find a better way to relate to our rapidly evolving world.
