This document discusses the role of pattern analysis and machine learning in developing multimodal interfaces for natural human interaction across various domains. It outlines the efforts of the AI research group to promote understanding of their research through audience-specific websites that aggregate and analyze news data. The document also highlights the technical processes involved in mining patterns from the web to create informative news feeds and demonstrates how this initiative supports ongoing research at ILRT.

1. NewsPatterns
Simon Price and Ben Joyner
Internet Development / Web Futures

2. WHO

3. WHY
• “... pioneer principled methods of
pattern analysis, statistical modelling
and computational learning as core
enabling technologies for multimodal
interfaces that are capable of natural
and seamless interaction with and
among individual human users.”
• Machine learning has a crucial role
in:
– Machine Vision
– Speech
– Haptics
– Brain Computer Interfaces
– Information Extraction
– Natural Language Processing

4. WHAT
AI Research Group
• Promote public understanding of
pattern analysis research.
• Apply to news on the Web.
• Create audience-specific (not
technology-specific) websites:
– NewsPatterns
– CelebrityWatch
– ElectionWatch
– ScienceWatch
– etc...
ILRT Internet Development
• Advise on Web technologies.
• Develop public facing websites.
• Give the AI Research Group the
capability to re-use designs.

5. HOW
1. Crawl the Web, fetching news feeds and web pages into a big database.
2. Mine patterns in the big database to create interesting new news feeds.
3. Every 6 hours, transform the new news feeds into thousands of web pages.

6. A quick sketch of Pattern Analysis
• Some key processing steps:
– Get text
– Parse text
– Get named entities
– Statistical analysis
– Association mining
– Subsequence mining
– Geo-location
• Example: social network analysis:
– Co-occurrence network
– Path analysis
– Rank by connectivity in social network
– Cluster
– Time series

7. NewsPatterns

8. CelebrityWatch

9. ElectionWatch

10. ScienceWatch

11. Demo

12. Summary
• Why I think this is a good project for ILRT
Directly supports research
Visibly publicises research outcomes
Established ongoing relationship for ILRT to
similarly support their future research bids