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Current Trends in Databases Network Effects (co-presentation) Gert Nelissen UHasselt 2010-2011.

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Presentation on theme: "Current Trends in Databases Network Effects (co-presentation) Gert Nelissen UHasselt 2010-2011."— Presentation transcript:

1 Current Trends in Databases Network Effects (co-presentation) Gert Nelissen UHasselt 2010-2011

2 Negative externalities More users is not always positive El Farol Bar problem 60 seats > 60 guests will ruin fun for everyone Not going = 0 payoff Going with <= 60 people = positive payoff But going with too many people = negative payoff Traffic jam Too many users could overload network or systems Equilibrium will find itself through changing expectations of users

3 Linked data More users -> more data More data -> more users The more users and data, the more URI ambiguities Example: author “John Doe”, “J. Doe” or “John D.” Solution: linking algorithms using meta-data, co-authors,... Consistent Reference Services: bundles URIs about same subject in some context (eg. ReSIST) e.g. Some institution about some person Okkam: centralized CRS Network-based production needs control mechanisms Wikipedia disambiguation page

4 Questions? References: D. Easly & J. Kleinberg – Networks, Crowds, and Markets: Reasoning about a Highly Connected World A. Jaffri & H. Glaser & I. Millard, School of Electronics and Computer Sciense, University of Southampton – URI Disambiguation in the context of Linked Data LiDRC, Linked Data Research Centre – Linked Data and the Web of Data


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