=Paper=
{{Paper
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|storemode=property
|title=None
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|volume=Vol-1458
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==None==
<pdf width="1500px">https://ceur-ws.org/Vol-1458/D02_CRC39_Niebler.pdf</pdf>
<pre>
                             Reality is not a game!
Extracting Semantics from Unconstrained Navigation on Wikipedia

          Thomas Niebler, Daniel Schlör, Martin Becker, and Andreas Hotho

                              University of Wuerzburg
                              Tel.: +49-931-31-89094
          {niebler,schloer,becker,hotho}@informatik.uni-wuerzburg.de



       Abstract. Semantic relatedness between words has been successfully extracted
       from navigation on Wikipedia pages. However, the navigational data used in the
       corresponding works are sparse and expected to be biased since they have been
       collected in the context of games. In this paper, we raise this limitation and ex-
       plore if semantic relatedness can also be extracted from unconstrained naviga-
       tion. To this end, we first highlight structural differences between unconstrained
       navigation and game data. Then, we adapt a state of the art approach to extract
       semantic relatedness on Wikipedia paths. We apply this approach to transitions
       derived from two unconstrained navigation datasets as well as transitions from
       WikiGame and compare the results based on two common gold standards. We
       confirm expected structural differences when comparing unconstrained naviga-
       tion with the paths collected by WikiGame. In line with this result, the mentioned
       state of the art approach for semantic extraction on navigation data does not yield
       good results for unconstrained navigation. Yet, we are able to derive a related-
       ness measure that performs well on both, unconstrained navigation data as well
       as game data. Overall, we show that unconstrained navigation data on Wikipedia
       is suited for extracting semantics.
       The original paper is currently under review [Niebler et al(2015)].


References
Niebler et al(2015). Niebler T, Schlör D, Becker M, Hotho A (2015) Extracting semantics from
    unconstrained navigation on wikipedia. Künstliche Intelligenz - Special Issue: Semantic Web
    currently under review




  Copyright c 2015 by the paper’s authors. Copying permitted only for private and academic
  purposes. In: R. Bergmann, S. Görg, G. Müller (Eds.): Proceedings of the LWA 2015 Work-
  shops: KDML, FGWM, IR, and FGDB. Trier, Germany, 7.-9. October 2015, published at
  http://ceur-ws.org




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</pre>