information architecture in Toronto

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Quinn DuPont studies textual communication in cross-over disciplines such as typography, history, power, rhetoric, security, and technology. He has recently been studying information sabotage and developing a thesis about the social development of meaning. Quinn is currently an information architect in Toronto, Canada.

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reading
  • Knowledge and Power: Toward a Political Philosophy of Science
    Knowledge and Power: Toward a Political Philosophy of Science
    by Joseph Rouse
  • On the Origin of Objects
    On the Origin of Objects
    by Brian Cantwell Smith
  • The German ideology, Parts I & III
    The German ideology, Parts I & III
    by Frederick Engels Karl Marx

Entries in information architecture (2)

Monday
Aug312009

Topology of the web

Most discussions of web topology occur at a technological level. While these discussions are important, as they undergird the behaviours that occur within the web, the nature of the discussion typically leads to banality due to the assumption of an unproblematic subject. Web technology is usually seen as free, democratic, and open. The assumption is that even if the technologies may be somewhat obscure to you, someone else fully understands them, and has put in place principles to ensure freedom, democracy, and openness. Further, even if you aren’t crafting the standards of the web, your behaviours are shaping it, ostensibly in ways transparent to you. With the advent of the so-called “social” web this process has been furthered democratized, such that to vote your voice of approval you simply link, like, tweet, digg, or whatever, thereby creating your own miniature web pulpit and voting box, all in one.

Bibliometrics predate the study of web topology. Search engine optimization (SEO), information retrieval (IR), content and network architecture, and data transmission are all explored in this mechanistic worldview. Human behaviours are terminal points for these studies, even if human-computer interactions (HCI) are the subject of study. The epistemology is realism, often infused with technological determinism/fetishism and a great willingness to create communities out of neoliberal hubris.

Instead of starting with the technology, making the technology the determining factor, let’s infuse our discussions with those nasty terminal points. People are political, ethical, and meaning-making. If you start from this assumption you quickly realize that an epistemological realism and a mechanistic ontology won’t get you very far into politics, ethics, and meaning (unless you try to tell a story about Descartes’ pineal gland). A kind of vitalism is necessary to create actants (Latour) out of mere objects. Networks are no longer flat, democratic and transparent. Digital networks, especially, are violent, opaque, and infused with power. On the periphery of the network exists the links, likes, tweets, diggs, and whatevers, while the core strangles competing networks, technologies, and human behaviours.

The core of the Web topology is both parasitic and subversive. The core is parasitic because it commodifies and actively shapes its inputs. The core is the periphery turned inside out: your behaviours are informed by the core strangling your meaning-making, and then commodifying your inputs. The core is subversive because it makes the information and then performs the most powerful and violent actions possible to create never ending antagonisms. With this information, the core operates like espionage, and turns known facts against themselves, subverting even semblance of truth. A link isn’t just a link in this topography, it is a pathway for crawlers, a digital and physical architecture of exclusion and meaning making. Semantics becomes what isn’t linked, what isn’t said, what once existed but was shown to no longer exist.

Sunday
Mar082009

Wolfram Research’s new product Alpha to compete with Google and Wikipedia

(Written for Wikinews)

Wolfram Research Inc., makers of Mathematica and New Kind of Science, have released a limited alpha of their new web service Wolfram Alpha. Wolfram Alpha is described by Stephen Wolfram (CEO of Wolfram Research Inc.) as a “computational knowledge engine”. Unlike Google, Yahoo and other traditional web search engines that rely on statistical methods for retrieving online documents, Wolfram Alpha answers factual questions in the way that Wikipedia does, except it relies on analytical methods instead of human-generated documents.

Although the product is still in a limited release some details about its operation and design have been revealed by Wolfram on his blog, and by Nova Spivack who recently interviewed Wolfram about Wolfram Alpha. The product is available on the Web as a single search box reminiscent of Google’s main search page. The search queries can be entered in natural language and the natural language system will parse the query and use models of knowledge (ontologies) and human-curated data to return an answer including graphs and other representations. The ontologies and data are managed by Wolfram employees who must input new ontologies and data by hand or, occasionally, with the assistance of programmatic tools. It is expected that an Application Programming Interface (API) will eventually be available, although it is not known what the API will be used for.

Unlike traditional search engines Wolfram Alpha does not search online documents, and thus does not return answers to “fuzzy” questions, such as opinion or advice. Instead, the scope of answers is limited to the knowledge that has already been modeled and encoded in the ontologies and the associated data. In this way the system can generate knowledge that was previously unknown. It is thought that while Wolfram will concentrate on scientific and technical information the system may eventually be able to answer questions in other domains, such as stock information, geography and history. In theory, any question with a factual answer can be answered by Wolfram Alpha.

Stephen Wolfram’s ambitious project builds on his previous work with Mathematica and A New Kind of Science. Wolfram Alpha is related to Wolfram’s research on cellular automata, although Wolfram points out that Wolfram Alpha is not a cellular automata.

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