Upload
sebastian-kruk
View
2.468
Download
0
Tags:
Embed Size (px)
DESCRIPTION
Slides from the presentation I gave at 5th Annual Conference on Teaching & Learning: Learning Technologies, June 7/8, 2007
Citation preview
Search and Browsing Cycle for Knowledge
Discovery and LearningSebastian Ryszard [email protected]
DERI, NUI Galway
1
Search and Browsing Cycle for Knowledge
Discovery and LearningSebastian Ryszard [email protected]
DERI, NUI Galway
1
2
Take away message
2
2
Take away message
• We search in different ways for different things
2
2
Take away message
• We search in different ways for different things
• Keyword search is not enough
2
2
Take away message
• We search in different ways for different things
• Keyword search is not enough
• We create the knowledge by sharing our (search) experience
2
3
Outline
• Motivation
• How do people search
• Search and Browsing life-cycle
• Applying semantics and making use of social networks:
• Keyword-based search
• Faceted Navigation
• Collaborative Filtering
• Conclusions
3
Motivation
4
Motivation
How to discover and integrate knowledge coming from both formal and informal sources?
4
Motivation
How to share and interconnect knowledge among people?
4
5
How do people search?
• Different user goals:
5
5
How do people search?
• Different user goals:
– Resource Seeking - the user wants to find a specific resource (e.g. lyrics of a song, a program to download, a map service etc.)
5
5
How do people search?
• Different user goals:
– Resource Seeking - the user wants to find a specific resource (e.g. lyrics of a song, a program to download, a map service etc.)
– Navigational - the user is searching for a specific web site whose URL s/he forgot
5
5
How do people search?
• Different user goals:
– Resource Seeking - the user wants to find a specific resource (e.g. lyrics of a song, a program to download, a map service etc.)
– Navigational - the user is searching for a specific web site whose URL s/he forgot
– Informational - the user is looking for information about a topic s/he is interested in
5
6
Search and browsing
6
6
Search and browsing
• Why?
• Knowledge can be useful
• Not everything is a useful knowledge
6
6
Search and browsing
• Why?
• Knowledge can be useful
• Not everything is a useful knowledge
• How? (Search and browsing actions)
6
6
Search and browsing
• Why?
• Knowledge can be useful
• Not everything is a useful knowledge
• How? (Search and browsing actions)
– [REUSE] keyword-based search (resource seeking)
6
6
Search and browsing
• Why?
• Knowledge can be useful
• Not everything is a useful knowledge
• How? (Search and browsing actions)
– [REUSE] keyword-based search (resource seeking)
– [REDUCE] faceted navigation (navigational)
6
6
Search and browsing
• Why?
• Knowledge can be useful
• Not everything is a useful knowledge
• How? (Search and browsing actions)
– [REUSE] keyword-based search (resource seeking)
– [REDUCE] faceted navigation (navigational)
– [RECYCLE] collaborative filtering (informational)
6
7
Keyword-based search
Why is it not enough?
7
7
Keyword-based search
Why is it not enough?
• Too many results (low precision)
• One needs to specify the exact keyword (low recall)
• How to distinguish between: Python and python? (high fall-out)
7
8
Keyword-based search
How we can improve?
8
8
Keyword-based search
How we can improve?
• Disambiguation through a context
• Long-term: user’s interests, engine type
• Short-term: user’s goal, location, time
• Query
• Query refinement
8
9
Keyword-based search
What’s next?
9
9
Keyword-based search
What’s next?
• “Tell me why” button and the transcript of refinement process
• Continue to faceted navigation
9
10
Faceted navigation
Why we need that?
10
10
Faceted navigation
Why we need that?
• The search does not end on a (long) list of results
• The results are not a list (!) but a graph
• „Lost in hyper-space”
• A need for unified UI and services for filter/narrow and browse/expand services
• Share browsing experience – navigate collaboratively
10
11
Faceted navigation
How we do better?
11
11
Faceted navigation
How we do better?
• A set of navigation services: access, search, filter, similar, browse, and combine
• Auxiliary services: meta, context, and statistics
• Zoom-able, adaptable, and accessible user interface
• Engage users in collaborative browsing
11
12
Browsing the data graph
12
12
Browsing the data graph
MultiBeeBrowse exploits interconnected data ...
12
13
Browsing the data graph
13
13
Browsing the data graph
... to allow faceted navigation
13
14
Social Semantic Collaborative Filtering
14
14
Social Semantic Collaborative Filtering
Why do we need collaboration?
• The bottom-line of acquiring knowledge: informal communication (“word of mouth”)
14
15
Social Semantic Collaborative Filtering
15
15
Social Semantic Collaborative Filtering
How can that help?
• Everyone classifies (filters) the information in bookmark folders (user-oriented taxonomy)
• Peers share (collaborate over) the information (community-driven taxonomy)
15
16
Social Semantic Collaborative Filtering
16
16
Social Semantic Collaborative Filtering
What do we got?
• Knowledge “flows“ from the expert through the social network to the user
• Systems amass a lot of information on user/community profile (context)
16
17
Social Semantic Collaborative Filtering
17
17
Social Semantic Collaborative Filtering
What problems can we encounter?
• The horizon of a social network (2-3 degrees of separation)
• How to handle fine-grained information (blogs, wikis, etc.)
17
18
Social Semantic Collaborative Filtering
18
18
Social Semantic Collaborative Filtering
How to solve them?
• Inference engine to suggest knowledge from the outskirts of the social network
• Support for Semantically Interlinked Online Communities (SIOC) metadata
18
19
Social Semantic Collaborative Filtering
19
19
knows
include
bookmark
Social Semantic Collaborative Filtering
19
19
knows
include
bookmark
Social Semantic Collaborative Filtering
19
20
Putting it all together
20
20
Putting it all together
20
20
Putting it all together
refinesearch results
filter, record, annotate, and share results and actions
user profile:user’s interests
20
20
Putting it all together
user profile:recent actions
refinesearch results
filter, record, annotate, and share results and actions
re-call shared actions
user profile:user’s interests
filter, record, annotate,
and share results
20
21
Search and Browsing in e-Learning space
21
21
Search and Browsing in e-Learning space
21
21
Search and Browsing in e-Learning space
21
21
Search and Browsing in e-Learning space
21
21
Search and Browsing in e-Learning space
Sebastian Ryszard KrukeLearning Cluster
DERI, NUI Galway
http://elite.deri.org/http://www.corrib.org/
21