Stap isi

Local government, the internet & community engagement online

7 December 2010

Photo by http://www.google.com/profiles/jackieml CC BY-NC-ND 3.0

Faceted views

The information architecture of council websites continues to be a challenge. Yet hierarchical structures remain the orthodoxy.

I very much like the Guardian‘s approach. They maintain the distinction between reporting and comment but don’t let it impede the reader’s path through the content. I think there are lessons to be learnt from their sophisticated approach.

I think we can discount the ‘pure search’ style approach that has been trialled by at least two local government authorities (Westminster and Lancashire). Not seeing smoke, I assume there’s no fire.

So it’s ironic that – for me – the most interesting idea of late comes from the company synonymous with search.

Google have finessed their faceted search to offer results categorised as: Everything; Images; Videos; Books; News; Places; Blogs; Realtime; and Discussions.

With the exception of ‘books’ perhaps, all make sense on a council website. You’re either after authoritative information on a process or product (facets could be ‘services’ and ‘facilities’) or you’re interested in date or place-based information, community interactions or media formats.

I like these distinctions.

Some local government authorities already offer place-based information. Good examples are Lichfield District Council’s My Area and Napier’s My Property.

I especially like Google’s categorisations ‘Realtime’ and ‘Discussions’.

— b3rn      Dec 7, 09:49 PM   #

Comments

Agreed! Static hierarchies, by definition, work well for an intended audience and no one else. Change the hierarchy and it works better for others but not who it originally worked well for.

As you say pure content search doesn’t cut it when trying to find something specific.

Context is what people need. Human applied context is increasingly impractical given the volumes we face. This is especially the case inside Council when thinking about internal information.

As you observe, there is great potential in search that not only searches content but extracts a context from that content. Facets are one example of context extracted from content.

The facets need to be more specific than those you’ve identified. Having a cross index to Council’s structured data sets so that the indexing can extract a very domain specific context from the content is where the real power comes from.

I’m talking about being able to refine search by Military Rd, or the Mosman Festival. This provides a context that is more specific than just news or places.

So a context that is specific to your area, to what Council does, indexed automatically from content against Councils’ places, people and events. That’d be useful.

David Schulz    Dec 9, 01:49 PM    #


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