Knowledge Dissemination in the Web Era

Marcos Baez

[email protected]

Marcos [email protected]

Knowledge Dissemination in the Web Era

dbTrento– Feb 26th, 2010

o The Web has changed the way we produce and consume and disseminate scientific content

Towards a Knowledge Dissemination Model in the Web Era

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The Web Era

• Peer review• Papers• Issues/volumes

o The Web has changed the way we produce and consume and disseminate scientific content


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The Web Era

Internet

o Also social changes..


4ReadersAuthors

How do I get interesting content!

How do I make my work visible!

The Web Era

The scarce resource is now the attention

The scarce resource is now the attention

o Original reasons for the current model are GONEo it does not necessarily mean current model is still

not the best

o This calls for a new dissemination model that embraces the Web..o Opportunities in terms of production and

collaborationo Face the problem of attention..

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Motivation

o Identify a model of scientific journal in the Web Erao Efficient and effective for AUTHORS, REVIEWERS

AND READERSo Encourage behaviors that are “good” for scienceo Making the evaluation fairero Evaluating other aspects of research

o Go beyond the model and implement a supporting platformo Usability as key: target user is a scientist. No overly

complicated models

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Goal

o The current dissemination model and tools continue unaware of the Web.o Dissemination constrained to the notion of papero Models do not tackle the problem of attentiono Tools for sharing a collaboration are the “mean”

but they lack of a formal and complete model o Academic search engines provide only a partial

view. Their use in a formal dissemination model need to be studied (e.g., ranking)

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What’s the problem existing models..?

Hints for the Solution: Liquid journals

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Liquid journal: Conceptual model

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Let’s watch a video..

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http://www.youtube.com/watch?v=iPmG1iQjjh0 [part1]http://www.youtube.com/watch?v=OfAFpw0NaLU [part2]

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Liquid journals model

Internet

Liquid journal

Scientific contributions Process

Editors Community

Journal definition language

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Liquid journals: Evolution

Liquid journal

Liquid journal Issues

Temporal links

Structural links

Structural, Temporal, Semantic links

Scientific contributions

o Model of journal capable of bringing “interesting” and “relevant” content in the form of “scientific contributions” from the Web

o Journal definition language for expressing preferences in terms of content, processes and collaboration

o Notions of “interestingness”, “relevance”, “similarity” and “diversity” applied to scientific content

o Sharing and collaboration models (based on the Social Web)

o Reputation metrics for authors, editors and scientific contributions,…

o Platform and working prototype of the model

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Expected contributions

o Define conceptual models for scientific contributions and journals

o Designing and implementing the abstraction for accessing and querying the Web

o Providing mechanisms for dealing with the noise

o Reputation metrics robust enough to tweak-attempts

o Identify interestingness, diversity, similarity in a way it is not intrusive

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Challenges

o Tailored journals to read what we care about

o Combine breadth and depth

o Real-time dissemination

o Reward creativity, early sharing and collaboration

o Exploit filtering power of the community

o Look into other aspects of researchers’ productivity

o Help the community to select the variation of the model that fits better its context

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Benefits

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Liquid journals: Infrastructure

Accessing and Querying scientific resources

Implementation of the overall journal model

Usage = human (key)

How people (editors and readers) will consume LJ Videos, mockups and prototype (

http://project.liquidpub.org/research-areas/liquid-journal) Paper submitted to JCDL 2010 In progress: IC -Overcoming Information Overload Issues

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Preliminary results

Preliminary results

Gelee: Flexible and easy to use lifeycle managmeent tool [Baez09]18


J. Smith. The deconstructed journal - a new model for academic publishing. Learned Publishing, 12:79 -91,1999.

AP. Smith. The journal as an overlay on preprint databases. Learned Publishing. 2000.

M. Krapivin, M. Marchese, and F. Casati. Exploring and Understanding Citation-based Scientic Metrics. 2008.

G. Mann, D. Mimno, and A. McCallum. Bibliometric impact measures leveraging topic analysis. In Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries, page 74. ACM, 2006.

S. Golder and B. Huberman. Usage patterns of collaborative tagging systems. Journal of Information Science, 32(2):198, 2006..

P. Heymann, G. Koutrika, and H. Garcia-Molina. Can social bookmarking improve web search? In Proceedings of the international conference on Web search and web data mining, pages 195{206. ACM, 2008.

A. Bozzon, M. Brambilla, S. Ceri, P. Fraternali, and I. Manolescu. Liquid Query: Multi-domain Exploratory Search on the Web. In WWW 2009 Proceedings, to appear.

A. Haque and P. Ginsparg. Positional eects on citation and readership in arXiv. Journal of the American Society for Information Science and Technology, 60(11), 2009.

D. Parra and P. Brusilovsky. Evaluation of Collaborative Filtering Algorithms for Recommending Articles on CiteULike. 2009

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References

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Marcos Baez

[email protected]

Marcos [email protected]

Thanks for your attention!

Knowledge Dissemination in the Web Era

Education

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