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In the future e-Home, information from various sources, located both globally and locally, are at hand for a wide range of tasks. Many of these tasks involve finding out about public authorities' rules and
regulations. The Public Tax authorities, for instance, provide hundreds of documents on their web site (forms, FAQ’s, tax rules, etc.). Currently, the user is restricted to navigating and searching these
information sources by clicking hyperlinks or typing in keywords in a search box.
Suppose a citizen needs to know what the local tax in
his area is. By providing the keywords
“kommunalskatt” (local tax) and “Linköping” to the
search engine five documents are retrieved and the
user can continue clicking on the provided links to see
if the answer is provided in the documents found. On
the other hand, supposing that the user had the ability
to state the information problem in natural language. View all 4 works published by Linkopings Universitet |
 Towards Multimodal Public Information Systems http://www.ida.liu.se/~magme/publications/nodalida-towards.pdf
access restricted (by the publisher) to members/subscribers/customers only
Merkel, Magnus and Arne Jonsson Linkopings Universitet 2002
Abstract: In the future e-Home, information from various sources, located both globally and locally, are at hand for a wide range of tasks. Many of these tasks involve finding out about public authorities' rules and
regulations. The Public Tax authorities, for instance, provide hundreds of documents on their web site (forms, FAQ’s, tax rules, etc.). Currently, the user is restricted to navigating and searching these
information sources by clicking hyperlinks or typing in keywords in a search box.
Suppose a citizen needs to know what the local tax in
his area is. By providing the keywords
“kommunalskatt” (local tax) and “Linköping” to the
search engine five documents are retrieved and the
user can continue clicking on the provided links to see
if the answer is provided in the documents found. On
the other hand, supposing that the user had the ability
to state the information problem in natural language.
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