To achieve the goal of cultivating a large base of users who repeatedly visit your site, your mashups must deliver useful, specific answers to a range of questions from a disparate audience. Mashups that rely on open, free, semantically structured data stores such as Metaweb’s Freebase enable the users themselves to add or modify data and adjust analysis rules so that the results are correct, complete and relevant specifically to them, rather than generic “once-off” answers. And if relevance includes location, users will return to the mashup if notified that conditions have changed. In so doing, your mashup satisfies more people more “surgically”.
Newly emerging data sources are enabling a new generation of mashups whose users can correct any inaccurate data that those mashups visualize, complete partially populated datasets by adding new data, change the mashup’s analysis rules to make its results more relevant, and receive notification when conditions change in ways or places they care about.
This presentation demystifies semantically structured data sources and illustrates how mashups can take advantage of them to attract and satisfy a wider spectrum users.
Jonathan W. Lowe has worked in the geospatial industry since 1994, wearing development, architecture, marketing, sales and journalism hats for Informix, IBM, Geospatial Solutions and his own current company, Giswebsite LLP, which specializes in adding semantic spatio-temporal functionality to existing IT infrastructures.