:: Please consult the notes on each slide for more info. Thanks! :: Never in scientific community history, it has been so extensive, never published as much as today, never the knowledge life cycle was so short. New data, new interpretations, new theories and new members emerge every day; not always is clear how to construct a search strategy that proves to be effective and efficient, so to obtain relevant and significant information. In this context VuFind may find its way as a pioneering service aiming to aggregate significant sets of resources and services that until now were dispersed, powering them with innovative features, some of them a mashup made of data obtained in real-time from external services, but more than that, to promote the logic cooperation of users of such resources, whom can take advantage of comments from those have used then before, but also can add value and see the local indexed resources’ social network. This communication exposes some core concepts and solutions that might help achieve a "Search 4.0" paradigm, that not only relies not only on direct search, but rather discovery, access, recommendation, that already performs with distinction, but also resources sharing and collaborative features, resulting from a natural social dynamic amongst the four key elements – user, resources, semantic mapping of metadata and user’s communities (their peers, users with common interests). In full interaction enhanced by the system, these four elements generate a dynamic social network, self-sustainable and with guarantee of future preservation, a social network not only of human actors as of resources themselves taking the role of actors.

1. University of Aveiro, Portugal » fsb@ua.pt
VuFind Summit 2012
Filipe MS Bento
PhD Research grant by
Villanova University's Falvey Memorial Library October 15, 2012
VuFind as a Participatory Scientific Information
Discovery, Access, Evaluation and Sharing Service

2. Discovery
powered by “the machine”

3. Discovery
powered by patrons

4. Impetus
Library
Systems that
facilitate the Web 2.0: to be
where our users are;
discovery and
sharing of Generate a dynamic
information of participation and
shared production of
contents.

5. Impetus
Higher Education' Libraries and the Bologna Process
Reinforces the
role of the Library as a
complementary space for informal
learning, socially facilitated by its
users, enabling information
discovery and sharing.

6. Core Concepts
Information Integration
:: Agregation and Federated search?
Library 2.0
:: Active/Receptive
buzzwords Users 2.0
:: Participative users

7. Users 2.0
net generation (students)

8. Users 2.0
“digital immigrants”

9. Users 2.0
“enjoy the ride”

10. Library 2.0 / Users 2.0
making the thriving connection
Jack Maness (2007)
“Library 2.0 is not about
searching, but finding;
not about access, but
sharing. Library 2.0
recognizes that human
beings do not seek and utilize information as individuals,
but as communities”

11. Collective Intelligence
“No one knows everything, everyone knows something...“ Without…
Pierre Lévy (1997)

12. Collective Intelligence
Puzzle solved!

13. Collective Intelligence
Folksonomies

14. Collective Intelligence
Folksonomies

15. Collective Intelligence
Folksonomies

16. What we are implementing
using VuFind as the base system:
An integrated and participatory service for search guidance,
recommendation, evaluation and sharing.
contributes
“Search  Find  Evaluate (select)  Understand  Share” cicle
ideally
Oriented to “ad-hoc” communities construction / identification
Results should also show patrons or communities that are more active in that area

17. Initial survey
Aimed at evaluating the information search
and retrieval habits, which resources and
sources do the University of Aveiro’s users
value and their presence and information
sharing habits in social networks.
Online Survey, "invitation only":
• 26 questions, some conditional;
• 2 months time span, 27th Jan – 23rd Mar 2010;
• 4.228 full responses from about 14.500 possible;

18. Initial survey - Results
Relevance given to information in blogs
or shared by other users on social networks
100% Irrelevant
10% 13%
19% 17%
90% 26%
34% 32%
80%
18% Little
relevance
70% 38% 30%
No answer
41%
60%
41%
50% 37% 39% No opinion
40%
35%
Relevant
30%
28% 31%
20% 23% Very
16%
14% 12% 14% relevant
10% 8% 4%
5% 5% 3% 3% 5%
4% 3% 2% 1% 1% 1% Essential
0%

19. Initial survey - Results
Relevance given to features in the Results List
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Automatic recommendation of documents or related
31% 52% 9% 2%
resources
Faceted browsing (subjects, authors, year, etc.). 41% 44% 6%
List of tags placed by users to records in the results list 14% 41% 29% 4%
Subscription of updates (RSS feed of new records) 13% 38% 27% 7%
Interface for mobile phones / PDAs 10% 26% 35% 16%
Receive notifications / SMS alerts (reserves, end of loan,
29% 33% 20% 10%
etc.).
Other features, including possible new ones 3%
Very Important Important No opinion Not selected Little relevance Irrelevant

20. Initial survey - Results
Relevance given to records contents’
enrichment via (external) Information aggregation
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Summary 51% 39% 3%
Table of Contents 44% 44% 4%
Expert reviews 34% 46% 12%
Cover (books) 15% 43% 30% 5%
Rating (stars) 12% 39% 34% 6%
Classification (keywords assigned to the document, tagging) 27% 45% 17% 3%
Comments (from users) 12% 43% 32% 6%
Export to other systems such as blogs, facebook, twitter,… 12% 32% 31% 12%
Other features, including possible new ones 0%
1%
Very Important Important No opinion Not selected Little relevance Irrelevant

21. Initial survey - Results
Relevance given to communities’ features
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Consult groups and associated users 6% 45% 29% 6%
Consult works or resources recommended by the group /
14% 55% 16% 3%
users
Access blogs, wikis, etc., from different groups 7% 38% 33% 8%
Other features, including possible new ones 1%
Very Important Important No opinion Not selected Little relevance Irrelevant

22. Initial survey - Results
Features in which they would take part / contribute
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Rating (stars, for instance) of documents 27% 28% 27% 8%
Classification (assigning keywords to the document, tagging) 22% 32% 26% 9%
Comments 21% 30% 31% 7%
Follow users with common interests 19% 33% 9%
Consult documents or resources recommended by other users 35% 39% 14% 3%
Create new Communities or Groups 8% 15% 37% 26%
Join Communities or Groups 17% 31% 31% 9%
Recommend documents or share resources in Communities 22% 32% 27% 8%
Collaborate in blogs, wikis or other collective resources of the … 13% 21% 33% 15%
Always, when relevant Sometimes No opinion Not selected Very occasionally Never

23. Recommendations, Evaluation
and Sharing within VuFind

24. Recommendations
… of related searches:
using Authorities / Thesaurus databases

25. Recommendations
… of related searches:
using external sources’ Authorities APIs

26. Recommendations
… of related searches:
linking to the same search in external services

27. Recommendations
… of related searches/resources:
from Course Reading lists

28. Recommendations
… of related searches/resources:
browsing public lists about a certain subject

29. Recommendations
… of related resources:
ideally
+ based on tags’ frequency, other resources with the same tags;
+ based on other accessed resources within the same search;
+ circulation data: based on loans history from patrons but
should be limited to the same or related subjects;
• better yet: users more active in that area (upon their express agreement).

30. Recommendations
… optimal – from a shared central index:
Discovery:

31. Evaluation
… in the results’ list:
… from Google Books

32. Evaluation
… in record’s full view:
… based on ratings given by other users

33. Evaluation
… in record’s full view:
... based
on an
enhanced
Google
Preview

34. Evaluation
… in record’s full view: contents
…based on information retrieved from goodreads

35. Evaluation
… in record’s full view: Community tab
…based on the number of recommendations/shares
and discussion within record’s facebook social plugin
or any other external service plugin like DISQUS

36. Evaluation
… EBSCO EIT module: Journal Ranking
…based on Scimago’s SJR : Scientific Journal Rankings

37. Sharing
Social bookmarking / Social Networks

38. Sharing
Social bookmarking / Social Networks

39. Sharing
Pinterest
social discovery: online bookmarking + photo sharing + visual “to do” lists
= Inspiration Boards

40. Sharing
“Community” tab
… facebook is virtually the third country in the world:
4th Oct 2012 announcement: over a billion active users around the world

41. Sharing
Be where users are and attract them to visit and add value to locally indexed resources
Community
Rates/
comments
Rates/
Shares/ Shares/ Shares/
comments
recommends recommends recommends
Rates/
comments
Users may come and go, but the value they add accumulates

42. … and Now for Something
Completely Different:

43. Presenting…
SEARCH 4.0

44. Search 4.0
… a natural social dynamic amongst
the four key elements:
1. user;
2. resources;
3. semantic mapping of metadata;
4. user’s communities (their peers,
users with common interests)

45. Search 4.0
In full interaction enhanced by the
system, these four elements
generate a dynamic social network,
self-sustainable and with guarantee
of future preservation, a social
network not only of human actors,
but rather the resources themselves
taking the role of actors.

46. Search 4.0
In fact, resources
were always
actors, having
their own
network. When
an author cites
others resources,
expands their “social” network.

47. VuFind Summit 2012
University of Aveiro, Portugal » fsb@ua.pt
Filipe MS Bento
PhD Research grant by
Villanova University's Falvey Memorial Library Thank you!
VuFind as a Participatory Scientific Information
Discovery, Access, Evaluation and Sharing Service