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Automated Textual Summary Generation for Spatial Data Accessibility

This project extends existing work to apply NLG technology for summarizing map data to bridge the information access gap for visually impaired individuals. It aims to collect, cluster, trend, and visualize spatial data, with tailored requirements obtained by engaging with users directly. The unique approach opens doors to unexplored areas and sets new standards for future developments in this field.

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Automated Textual Summary Generation for Spatial Data Accessibility

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  1. CS4526 BSc Single Honours Project Hussein Patwa April 2008

  2. What is this Project? • An extension of existing ATLAS.TXT work “apply Natural Language Generation (NLG) technology to automatically produce textual summaries of map data highlighting ‘important’ content extracted from the underlying spatial data” • An extensible platform for future work • A two-phased approach– software & study

  3. What is this problem? • Blind people cannot access graphical representations of information • But authors insist on producing this ever more frequently • Thus, a widening information access gap

  4. What do we want to access? • Maps • Atlas, tourist guides • Statistical Maps • Census (2001) • Statistical maps giving useful information • Office of National Statistics • Patterns, Trends

  5. How is this information collected? • Clustering: • Grouping similar data elements together • Trending: • Identifying regular patterns between clusters • Visualisation: • Interpreting the trends

  6. Should be simple, surely? • An algorithm to construct clusters • An algorithm to identify trends • A mechanism to display the resulting information as text

  7. It’s Not • Remember the community we’re dealing with • No concepts at all • What are we trying to do? • How could it be useful? • So unable to provide user requirements • A rather significant hurdle, yes?

  8. So now there’s a new problem • How to obtain requirements from those who don’t understand them? • How to adapt/refine for a viable product? • So now we have a research project >>> ENTER PHASE 2 STAGE LEFT >>>

  9. New territory, and it’s exciting • No such previous concept for requirements gathering • No previous research into similar technologies • And most importantly, a completely clean slate for a completely new community

  10. Why me? • Understanding and insight foster results • Direct personal motivationfrom conception to conclusion • Who better than one who: • has the problem • knows the problem • knows the people • has the mindset?

  11. How do you do that? • Talk to potential users • Work with them, not for them • Sell benefits and uses • Together, construct tailored requirements to fit this unique community

  12. Where when, & what why? • Conduct requirements gathering exercises • Map to parameters for trending software • Declare tailored set of recommendations

  13. This is worthwhile, how? • Opens the door to future research work in otherwise unexplored areas • Provides a platform for ATLAS.TXT for more useful end results • Sets a new, viable standard for future technical developments in this field

  14. My experiences & lessons learned • Working on an ongoing, established project with veteran professionals • Lessons: • Personal discipline • Working to expectations • Enhancing understanding of technologies • Food for thought on a project within which I have a worthwhile stake

  15. Finalement Thank you for your attention and assistance. Any Questions?

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