Peter Murray has written up some of the day's presentations on his blog.
Conrad Taylor, introducing the day, covered issues around mark-up and tagging, referring to the difficulties of marking up audio/video and unstructured text; time constraints; and difficulties of subject classification.
Tony Rose talked about information retrieval and some of the innovative approaches out there:
- semantic searching - as demonstrated by hakia and lexxe
- natural language processing - as demonstrated by powerset and lexxe
- disambiguation - as demonstrated by quintura
and ask - assigning value to documents - as demonstrated by google
He sees future of search as addressing the following:
- rich media search
- multi/cross lingual search
- vertical search
- search agents
- specialised content search
- human UI
- social search
- answer engines
- personalisation
- mobile search
Tom Khazaba from SPSS talked about their products for text and data mining and the various applications they're used for (CRM, risk analysis, crime prevention etc). He stressed that the results of text analysis have to be fitted into business processes and mentioned briefly how Credit Suisse have achieved this. He listed the keys of success of text/data mining solutions:
- ease of use
- supports the whole process
- comprehensive toolkit - ie features visualisation, modelling etc so all you need is in one place
- openness - using existing infrastructure
- performance and scalability
- flexible deployment
Dan Rickman introduced geospatial information systems. He referred to the importance of metadata and ontologies for handling the large volumes of unstructured data. In geospatial information, there is also a temporal aspect as many applications will view an area over time. He mentioned OS' work on a Digital National Framework which has several principles:
- capture information at the highest resolution possible
- capture information once and use many times
- use existing proven standards etc
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