Information Technology Reference
In-Depth Information
designed algorithm is based on an ontology that uses OWL format; that ontology
is used as an adaptive mechanism, almost similar to ontologies with personaliza-
tion purposes; retrieved results are quite similar to semantic wiki results, with the
difference that the wiki does not need annotations in order to obtain semantic rele-
vant information; slang and synonyms are considered; and it was produced a
modified version of the classic vector model for information retrieval.
The obtained assessment results were approximately of 100% for recall and
93% for precision. Even though, looking more closely to these impressive results,
some problems were identified and should be solved in the future in order to ob-
tain more stability and robustness in the proposed algorithm.
Although some adjustments are necessary to the proposed algorithm for some
domain scenarios, it still can be used with relative success to retrieve recent and
relevant information from plain wikis.
The designed architecture places the proposed tool outside the Web and the
wiki engine. At the beginning, the retrieval target was the MediaWiki software
[25], but it is possible to extend the tool to other wiki software by codifying new
browsing mechanisms.
Collaborative communities are increasingly present in the Web and they will
play major roles in the Web 2.0, so they need semantic treatment, mainly in a sce-
nario of huge data volume.
References
[1]
Mayfield, A.: What is Social Media? iCrossing (2008),
http://www.icrossing.co.uk/fileadmin/uploads/eBooks/
What_is_Social_Media_iCrossing_ebook.pdf
[2]
The Fedora Marketing Project,
http://fedoraproject.org/wiki/Marketing
[3]
Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web, pp. 34-43. Scientific
American (May 2001)
[4]
Shadbolt, N., Hall, W., Berners-Lee, T.: The Semantic Web Revisited. IEEE Intelli-
gent Systems, 92-101 (2006)
[5]
Miilard, D.E., Bailey, C.P., Boulain, P., et al.: Semantics on demand: Can a Semantic
Wiki replace a knowledge base? New Review of Hypermedia and Multimedia 14(1),
95-120 (2008)
[6]
Gauch, S., Chaffee, J., Pretschner, A.: Ontology-based personalized search and
browsing. Web Intelligence and Agent Systems: An international Journal 1, 219-234
(2003)
[7]
Adán-Coello, J., Tobar, C.M., Rosa, J.L.G., Freitas, R.L.: Towards the Educational
Semantic Web. In: Mendes Neto, F.M., Braileiro, F.V. (eds.) Advances in Computer-
Supported Learning, pp. 145-172. Information Science Publishing, United Kingdom
(2007)
[8]
W3C, World Wide Web Consortium (2009),
http://www.w3.org/
[9]
Aumuller, D.: SHAWN: Structure Helps a Wiki Navigate. MsC Thesis. University of
Leipzig, Germany (2005)
