tagging relations to achieve complex search goals

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NWeSP 2011, Salamanca T agging relations to achieve complex search goals Rossano Schifanella Luca Maria Aiello Giancarlo Ruffo Arc 2 s group, Torino, Italy

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Tagging relations to achieve complex search goals. Rossano Schifanella Luca Maria Aiello Giancarlo Ruffo Arc 2 s group, Torino, Italy. NWeSP 2011, Salamanca. WHY DO WE TAG?. Bookmarking, categorization, description, simple search tasks …. 25%. - PowerPoint PPT Presentation

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Page 1: Tagging relations to achieve complex search goals

NWeSP 2011, Salamanca

Tagging relations to achieve

complex search goals

Rossano SchifanellaLuca Maria AielloGiancarlo RuffoArc2s group, Torino, Italy

Page 2: Tagging relations to achieve complex search goals

NWeSP 2011 2

WHY DO WE TAG?Bookmarking, categorization, description, simple search tasks…

19/10/2011

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NWeSP 2011 3

25%query volume for complex search tasks on search engines

Donato et al.“Do you want to take notes?: identifying research missions in Yahoo! search pad”WWW 2010

19/10/2011

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NWeSP 2011 4

TAGS COULD DO MORE!

IDEA:

Tag complex cognitive relations and share them with users with the same needs.

In a complex search process, the user relates different objects and notions, with a very time-consuming activity.

19/10/2011

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NWeSP 2011 5

THE “GESTALT EFFECT” IN TAGGING

13,317 Flickr users, 230,020 photosets, 7,188,004 pictures.Very often, sets of tagged items have titles that do not overlap with its inner tags.

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NWeSP 2011 6

FOLKSONOMY DEFINITION

Instances of A are called triples

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NWeSP 2011 7

RELATIONAL FOLKSONOMY

Depending on the definition of ρ we can obtain Sets,Lists,Trees,Graphs , Hypergraphs, …

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USE CASE

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• Organizing and sharing complex search experience

• Social search• Collaborative editing• Navigability of the results

ADVANTAGES19/10/2011

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NWeSP 2011 10

PORTAL: BUNDLE CREATION19/10/2011

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PORTAL: SEARCH PHASE

http://mumb.di.unito.it

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NWeSP 2011 12

SUMMARY FUTURE DIRECTIONS

New relational folksonomy model

Tagging user-generated RELATIONS to enable a new form of social search

Improve web portal and collect data

Recommendation on the basis of relation affinity

19/10/2011

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