Consequent formalization of requirements for intelligent web came after the chaos with static, then afterwards with dynamic web resources. The semantic web is an extension of the current web, where information has well-defined meaning, better enabling computers and people to work in cooperation [Hiba! A hivatkozási for rás nem található.]. Abstract requirements [Hiba! A hivatkozási forrás nem található.] for information formalization became specific technologies [Hiba! A hivatkozási forrás nem található., Hiba! A hivatkozási forrás nem található.] aimed to implement the vision of semantic web.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Adomavicius G, Tuzhilin A (2005) Toward the next generation of re- commender systems: a survey of the state-of-the-art and possible exten- sions. IEEE Transactions on Knowledge and Data Engineering, vol 17, issue 6, ISSN: 1041-4347, pp 734 - 749
Bayesian statistics. http://en.wikipedia.org/wiki/Bayesian_statistics
Berners-Lee T, Hendler J, Lassila O (2001) The Semantic Web. Scien- tificAmerican. http://www.scientificamerican.com/article.cfm?articleID=00048144-10D2-1C70-84A9809EC588EF21&catID=2
Boyd DM (2004) Friendster and publicly articulated social networking. In CHI '04 Extended Abstracts on Human Factors in Computing Systems, ACM Press, New York, NY, pp 1279-1282
Decker S, Melnik S, van Harmelen F, Fensel D, Klein M, Broekstra J, Erdmann M, Horrocks I (2000) The Semantic Web: the roles of XML and RDF. Internet Computing, IEEE, vol 4, no 5, ISSN: 1089-7801, pp 63-73
Fisher D (2003) Social Networks for End Users. Survey Paper for Ad- vancement to Candidacy. University of California, Irvine. http://www.bsos. umd.edu/gvpt/CITE-IT/Documents /Fisher 2003 SocNtwks for End Users.pdf
Gupta KM, Aha DW, Marsh E, Maney T (2002) An architecture for en-gineering sublanguage WordNets. In Proceedings of the First Interna-tional Conference On Global WordNet, pp 207-215
Mika P (2005) Flink: Semantic Web Technology for the Extraction and Analysis of Social Networks. Journal of Web Semantics, vol 3, no 2, pp 211-223
Ohmukai I, Hamasaki M, Takeda H (2005) A Proposal of Community-based Folksonomy with RDF Metadata. In Proceedings of the ISWC 2005 Workshop on End User Semantic Web Interaction (2005), pub-lished on CEUR-WS
O'Reilly T (2005) What is Web 2.0. http://www.oreilly.com/go/web2
Rimkute E, Grybinaite A (2004) The most frequent types of the morpho-logical ambiguity of the Lithuanian language and the automatical disam-biguation of them (in Lithuanian). Kalbu studijos, vol 5, pp 74-78
Sebastiani F (2002) Text categorization in general - a survey paper: Ma-chine Learning in Automated Text Categorization. ACM Computing Surveys, vol 34, no 1, pp 1-47
Surowiecki J (2005) The Wisdom of Crowds. Anchor, ISBN :0385721706
Svatek V, Berka P, Kavalec M, Kosek J, Vavra V (2003) Discovering Company Descriptions on the Web by Multiway Analysis. Springer-Verlag, Advances in Soft Computing series, ISBN 3-540-00843-8, pp 111 - 118
Tepper M (2003) The rise of social software. netWorker, vol 7, no 3, ISSN:1091-3556, pp 18-23
Tutkutė L, Taujanskas V (2006) Forming recommendations in semantic web (in Lithuanian). Information technologies for business and study 2006. vol 1, pp 178-183
Ungar L, Foster D (1998) Clustering Methods for Collaborative Filtering. In Proceedings of the AAAI-98 Workshop on Recommender Systems, AAAI Press, pp 112 - 125
Uschold M (2003) Where are the semantics in the semantic web? AI Magazine, vol 24, issue 3, ISSN:0738-4602, pp 25 - 36
Wusteman J (2004) RSS: the latest feed. Library Hi Tech, vol 22, no 4, MCB University Press, ISSN 0737-8831, pp 404 - 413
W3C. Semantic web activity. http://www.w3.org/2001/sw/
W3C. SPARQL Query Language for RDF. http://www.w3.org/TR/rdf-sparql-query/
Zinkevicius V (2000) Morphological analysis with Lemuoklis (in Lithua-nian). Darbai ir Dienos, vol 24, pp 245-273
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer Science+Business Media, LLC
About this paper
Cite this paper
Taujanskas, V., Butleris, R. (2007). Categories Extraction for Reuse in Semantic Applications and Profile Based Recommendation Service. In: Magyar, G., Knapp, G., Wojtkowski, W., Wojtkowski, W.G., Zupančič, J. (eds) Advances in Information Systems Development. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-70761-7_44
Download citation
DOI: https://doi.org/10.1007/978-0-387-70761-7_44
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-70760-0
Online ISBN: 978-0-387-70761-7
eBook Packages: Computer ScienceComputer Science (R0)