"Leverage intelligence loaded into your meta data"
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"Leverage intelligence loaded into your meta data". Bring your meta data to life!. Using controlled lists to: Create Nice URIs to the heart of your services Improve your website usability Promote “Good Joined up Government” Drive “layered searches” Gather better intelligence.
"Leverage intelligence loaded into your meta data"
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"Leverage intelligence loaded into your meta data" Bring your meta data to life! Using controlled lists to: • Create Nice URIs to the heart of your services • Improve your website usability • Promote “Good Joined up Government” • Drive “layered searches” • Gather better intelligence
About me : Paul Geraghty • 10 years working in local government • Web Administrator – PHP nerd • Create tagging and CMS tools • Early adopter of controlled lists • Website: www.councilsites.co.uk
A way of managing controlled lists to … 1) Create Nice URIs and • Automatically create navigation pages 2) Improve search results • “Did you mean?” • Layered search • Tag clouds
Caveats To act upon this advice may need help from: • Members of your IT department • Software vendor • Someone like me
Controlled lists and local government • Service List (LGSL) clearly defined key services a council/agency provides • Navigation List Links 1:1 with Service list • IPSV 12,000 terms used in government Examples …
Navigation List upclose >> Housing Adapting homes Council housing Improvements and repairs Supported and sheltered housing >> Council and democracy Supported and sheltered housing >> Health and social care Adapting homes
3 controlled lists Important page
How to manage all this information? • Meta data management system (MMS) • Layer linking controlled lists and your content • MMS outputs meta data + is searchable
Worlds Simplest MMS Your MMS could be just: ... and could contain “other partners” URLs:
If you had an MMS… • Your “important services” are identified • You can activate links directly to them using the Navigation List … from a single webpage … In our case in a directory named /tag/
Taxonomy terms as ‘slugs’ • My.gov.uk/tag/130 My.gov.uk/tag/CouncilHousing-HomeAdaptions Defn: From Wordpress – a slug is a term for a unique text link that can be pseudonym for a more complicated URI or used as a database key
Dynamic page, description and link creation – no humans are involved except to tag
What is happening … Make your website handle requests to a virtual page that handles… Both service numbers: • .gov.uk/tag/130 • .gov.uk/tag/100001 And service Terms (or titles): • .gov.uk/tag/CouncilHousing-HomeAdaptions • .gov.uk/tag/Housing
Interface to your main services • Predictable set of URIs to each local service • Activates the LG Navigation List • API you can link to yourself, e.g. from search • With a copy of the Service list “other partners” can link to your main services • Help more citizens to get through to the right service provider (joined up government) • Creates Nice URIs
Why Nice URIs are good • Search engine friendly • Read them out on the phone • Reproduce in print easily • Guessable / predictable • Permanent • Counter CMS derived ‘unfriendly URLs’ LIKE THIS: My.gov.uk/live/website/pages/checkPage.do?item=496§ion=car%20parking?openDocument
Slugs make good sense • You keep a list of (LGSL) services anyway ! • The computer does the work ! • Around 2400 virtual “pages” • Slugs (/ tag / Schools-HomeSchooling) • Service PIDs (/ tag / 1 ) • Once compiled, low maintenance • 6 monthly update from esd-toolkit
Why slugs are bad (are they?) • Your meta data is no longer hidden • Loss of absolute control • Inconsistencies caused by bad tagging • LGSL tagging • IPSV tagging … can result in missed or unexpected page content … • Lots of feedback (more work!)
Controlled vocabularies in a “Layered search” strategy • Log public search terms • Analyse these results • Intercept recognised patterns • Provide intuitive links first • Then go on and do a ‘Google-type’ text matching search
Search patterns Number of words used in searches on 18 Feb 2008
Intercept locations • Search term : 12 The Gardens, Busbridge • Lookup using: • GIS Gazetteer • Planning Applications • CRM • Then show other google-type text search results
Intercept a single word • Disambiguate that term : Wikipedia idea link • User searches for a single word • Search through Service list • Show scope notes • Ask: Did you mean? • Optionally halt expensive all-site searches • Gather valuable information … example …
“Service hits” not “page hits” • Clicks on a Service description provide more granular information than “webpage hits” • Important webpages can contain more than one LGSL service • Compare “search term” with “service picked” • Possibly adapt Service and Navigation titles • Locally for your own taxonomy • Nationally esd.org.uk/forums
What you are gathering From Search you can collect: • Citizen selected services • The time of day • Day of week • Week of year • Month Mixing temporal and behavioural patterns …
Tag clouds • A visual map of terms that users attach to a page or document a “Folksonomy” • Tag cloud terms are generally one word • The more popular a word is – the bigger it is
Tag clouds using a controlled vocabulary- lets use Service Terms instead of words …
Controlled list tag clouds • Gather intelligence about the services citizens request from: • Your LGNL navigation /tag/StreetParking-Fines • Search intercepts and service clicks • What people want (not simply what pages citizens are visiting) • Activity in the last hour • Predict activity each month (year on year)
For the publiccontrolled lists can provide … • Better “Joined up Government” • Easy to remember URIs • Information about where they are going • Increasing the likelihood they find key services via search • Show what is popular today/this week
For youcontrolled lists provide … • Value added searchable text store • Reduced maintenance costs • Feedback and for your own meta data • A way to predict “what citizens want” • Proof of what users really want They are not just <meta tag /> fillers
Last slide … • Contact me : Paul Geraghty • www.councilsites.co.uk • Thank you “Bring your meta data to life, and profit from your investment.”