University of Aveiro, Portugal » fsb@ua.ptVuFind Summit 2012                                                              ...
Discovery            powered by “the machine”
Discovery            powered by patrons
Impetus                   Library  Systems that  facilitate the               Web 2.0: to be                             w...
ImpetusHigher Education Libraries and the Bologna Process                               Reinforces the                    ...
Core Concepts              Information Integration              :: Agregation and Federated search?              Library 2...
Users 2.0            net generation (students)
Users 2.0            “digital immigrants”
Users 2.0            “enjoy the ride”
Library 2.0 / Users 2.0making the thriving connection                                Jack Maness (2007)                   ...
Collective Intelligence“No one knows everything, everyone knows something...“   Without… Pierre Lévy (1997)
Collective Intelligence                          Puzzle solved!
Collective Intelligence                          Folksonomies
Collective Intelligence                          Folksonomies
Collective Intelligence                          Folksonomies
What we are implementing  using VuFind as the base system:      An integrated and participatory service for search guidanc...
Initial survey Aimed at evaluating the information search and retrieval habits, which resources and sources do the Univers...
Initial survey - Results  Relevance given to information in blogs  or shared by other users on social networks     100%   ...
Initial survey - Results  Relevance given to features in the Results List                                                 ...
Initial survey - Results  Relevance given to records contents’  enrichment via (external) Information aggregation         ...
Initial survey - Results  Relevance given to communities’ features                                                        ...
Initial survey - Results  Features in which they would take part / contribute                                             ...
Recommendations, Evaluation    and Sharing within VuFind
Recommendations … of related searches:               using Authorities / Thesaurus databases
Recommendations … of related searches:               using external sources’ Authorities APIs
Recommendations … of related searches:         linking to the same search in external services
Recommendations … of related searches/resources:                             from Course Reading lists
Recommendations … of related searches/resources:          browsing public lists about a certain subject
Recommendations … of related resources: ideally      + based on tags’ frequency, other resources with the same tags;      ...
Recommendations … optimal – from a shared central index:              Discovery:
Evaluation … in the results’ list:                           … from Google Books
Evaluation … in record’s full view:               … based on ratings given by other users
Evaluation … in record’s full view:                            ... based                            on an                 ...
Evaluation … in record’s full view: contents    …based on information retrieved from goodreads
Evaluation … in record’s full view: Community tab   …based on the number of recommendations/shares  and discussion within ...
Evaluation … EBSCO EIT module: Journal Ranking …based on Scimago’s SJR : Scientific Journal Rankings
Sharing          Social bookmarking / Social Networks
Sharing          Social bookmarking / Social Networks
Sharing Pinterest  social discovery: online bookmarking + photo sharing + visual “to do” lists                            ...
Sharing     “Community” tab     … facebook is virtually the third country in the world:4th Oct 2012 announcement: over a b...
Sharing    Be where users are and attract them to visit and add value to locally indexed resources                        ...
… and Now for Something  Completely Different:
Presenting…     SEARCH 4.0
Search 4.0 … a natural social dynamic amongst the four key elements: 1. user; 2. resources; 3. semantic mapping of metadat...
Search 4.0 In full interaction enhanced by the system, these four elements generate a dynamic social network, self-sustain...
Search 4.0 In fact, resources were always actors, having their own network. When an author cites others resources, expands...
VuFind Summit 2012                                                                                University of Aveiro, Po...
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VuFind as a Participatory Scientific Information Discovery, Access, Evaluation and Sharing Service

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:: 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.

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  • ------------------Note:the conceptual modeland data presented in thispresentationispartof a broaderongoingstudy, “InformationIntegration, UserParticipationand Communities in Information Discovery”, PhD Program in Information and Communication in Digital Platforms (University of Aveiro and University of Porto, Portugal)“; part of this presentation is of shared authorship with the author advisor,underthementionedPhDProgram, Lidia Oliveira Silva (CETAC.media / CommunicationandArtDepartment, U.Aveiro).------------------Firstof all, a special thanks to Demian, David and Villanova University's Falvey Memorial Library, in the person of its Director, Joseph/Joe Lucia, for having me here today and making available such a great solution as VuFind proved to be.
  • Butfirstof all, a quickwordabouttheImpetusforimplementing a discovery and sharing service: - Beside thestrong bet in web 2.0 tools and services, being done in the last years, to be where our users are;- We aim at generating a dynamic of participation and shared production of contents.
  • Also at na Europeanlevel, theBologna Processreinforces the role of the Library as a complementary space for informal learning, socially facilitated by its users, enabling information discovery and sharing.
  • Havingthatsaid, implementingsuch a Serviceinvolvesmainly 3 Core Concepts.
  • Another aspect, that is still somehow not a full explored ground, involves making the thriving connection between Library 2.0 and Users 2.0Andfor this, I quote Jack Maness:“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”.And this brings us to something that VuFind already in part leverages: Collective IntelligenceMANESS, JACK M. - Library 2.0 Theory: Web 2.0 and Its Implications for Libraries. Webology. ISSN 1735-188X. Vol. 3, n.º 2 (2007).Picture source: http://www.undertheradarblog.com/wp-content/uploads/2012/01/social-enterprise21.jpg
  • A model for an innovative bibliographic information search system, where not only the document is the point of reference, but to a new extent, the user himself and all its surrounding (activities and information associated with his/her profile or community to which he/she belongs), assuming a crucial dimension of generating additional information by the users of the system (enhanced by computer agents aggregators of information), fostering social networks and communities.Namely to get it’s contributes to the “Search  Find  Evaluate (select)  Understand  Share” cicle.Oriented to “ad-hoc” communities construction / identificationResults should also show patrons or communities that are more active in that areaideallyStarting point, an Initial survey:
  • We wanted to have an idea about the University of Aveiro’s users’information search and retrieval habits, which resourcesand sourcesdo theyvalueand their presenceand informationsharinghabitsin social networks.We where very pleased with the importance given by the UA community to this project that lead us to have 4.228 full responses from about 14 and a half thousand possible ones.
  • Recommendations, Evaluation and Sharing within VuFindSo, lets start with Recommendations (Discovery component):
  • Thankyou!------------
  • VuFind as a Participatory Scientific Information Discovery, Access, Evaluation and Sharing Service

    1. 1. University of Aveiro, Portugal » fsb@ua.ptVuFind Summit 2012 Filipe MS Bento PhD Research grant byVillanova Universitys Falvey Memorial Library October 15, 2012VuFind as a Participatory Scientific InformationDiscovery, Access, Evaluation and Sharing Service
    2. 2. Discovery powered by “the machine”
    3. 3. Discovery powered by patrons
    4. 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. 5. ImpetusHigher 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. 6. Core Concepts Information Integration :: Agregation and Federated search? Library 2.0 :: Active/Receptive buzzwords Users 2.0 :: Participative users
    7. 7. Users 2.0 net generation (students)
    8. 8. Users 2.0 “digital immigrants”
    9. 9. Users 2.0 “enjoy the ride”
    10. 10. Library 2.0 / Users 2.0making 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 humanbeings do not seek and utilize information as individuals,but as communities”
    11. 11. Collective Intelligence“No one knows everything, everyone knows something...“ Without… Pierre Lévy (1997)
    12. 12. Collective Intelligence Puzzle solved!
    13. 13. Collective Intelligence Folksonomies
    14. 14. Collective Intelligence Folksonomies
    15. 15. Collective Intelligence Folksonomies
    16. 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. 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. 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. 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. 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. 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. 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. 23. Recommendations, Evaluation and Sharing within VuFind
    24. 24. Recommendations … of related searches: using Authorities / Thesaurus databases
    25. 25. Recommendations … of related searches: using external sources’ Authorities APIs
    26. 26. Recommendations … of related searches: linking to the same search in external services
    27. 27. Recommendations … of related searches/resources: from Course Reading lists
    28. 28. Recommendations … of related searches/resources: browsing public lists about a certain subject
    29. 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. 30. Recommendations … optimal – from a shared central index: Discovery:
    31. 31. Evaluation … in the results’ list: … from Google Books
    32. 32. Evaluation … in record’s full view: … based on ratings given by other users
    33. 33. Evaluation … in record’s full view: ... based on an enhanced Google Preview
    34. 34. Evaluation … in record’s full view: contents …based on information retrieved from goodreads
    35. 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. 36. Evaluation … EBSCO EIT module: Journal Ranking …based on Scimago’s SJR : Scientific Journal Rankings
    37. 37. Sharing Social bookmarking / Social Networks
    38. 38. Sharing Social bookmarking / Social Networks
    39. 39. Sharing Pinterest social discovery: online bookmarking + photo sharing + visual “to do” lists = Inspiration Boards
    40. 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. 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/ commentsrecommends recommends recommends Rates/ comments Users may come and go, but the value they add accumulates
    42. 42. … and Now for Something Completely Different:
    43. 43. Presenting… SEARCH 4.0
    44. 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. 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. 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. 47. VuFind Summit 2012 University of Aveiro, Portugal » fsb@ua.pt Filipe MS Bento PhD Research grant byVillanova Universitys Falvey Memorial Library Thank you!VuFind as a Participatory Scientific InformationDiscovery, Access, Evaluation and Sharing Service

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