- From: Giorgos Stamou <gstam@softlab.ntua.gr>
- Date: Wed, 7 Sep 2005 12:07:17 +0300
- To: "'Sandro Hawke'" <sandro@w3.org>
- Cc: <public-rule-workshop-discuss@w3.org>
- Message-Id: <200509070907.j8797XqO006349@theseas.softlab.ece.ntua.gr>
Dear Sandro and all All this period, following the charter submission, we are witnessing a very interesting theoretical discussion in this list, mainly regarding the monotonic vs non-monotonic language characteristic. Now, that this discussion seems to be finished (at least for the moment :-) ), in my opinion it is time to discuss other important issues. During the Washington Workshop, it became clear from the industry requirements (that is actually an important input), that covering uncertainty and vagueness possess an important language feature. Although this fact has been reflected to the Workshop report ( <http://www.w3.org/2004/12/rules-ws/report/> http://www.w3.org/2004/12/rules-ws/report/), unfortunately it has been omitted from the draft charter 1.60. Since a lot of work has been carried out within this framework and this subject is very promising (see refs below), I believe that fuzzy logic technology is mature enough in order to be covered in the charter, in the language features section. Fuzzy logic is just an extension and does NOT change the classical logic framework. It extends the truth values from {0,1} to [0,1], but if we have only 0 or 1 values, the results are IDENTICAL to the classical logic ones. So, the uncertainty covering feature is only an OPTIONAL one, which does not change anything but only ADDS something. I would also like to mention that recently a Technical Group in RuleML (http://www.image.ntua.gr/FuzzyRuleML) has been created dealing with the above issues. People from this Technical Group could also contribute to this effort within the possible W3C Rule Language Working Group. If no objections exist, we could help by providing material for the charter, as a sub-section of section 2 (language features). Regards, Giorgos Stamou Research Assistant Professor Image, Video and Multimedia Systems Laboratory Institute of Communication and Computer Systems National Technical University of Athens Zographou Campus, 15780, Athens, Greece Tel: +30-210-7723040 Fax: +30-210-7722492 e-mail: gstam@softlab.ntua.gr References Stoilos, G., Stamou, G., Tzouvaras, V., Pan, J., Horrocks, I.: The Fuzzy Description Logic SHIN, Proc. of the International Workshop on Uncertainty Reasoning For the Semantic Web (2005). To Appear http://www.image.ece.ntua.gr/savepaper.php?id=385 Pan, J.Z., Stamou, G., Tzouvaras, V., Horrocks, I.: f-SWRL: A Fuzzy Extension of SWRL. In: Proc. of the International Conference on Artificial Neural Networks, Special section on "Intelligent multimedia and semantics". (2005) To appear. http://dl-web.man.ac.uk/~panz/Zhilin/download/Paper/PSTH05aa.pdf Stoilos, G., Stamou, G., Tzouvaras, V., Pan, J., Uncertainty and RuleML rulebases: A Preliminary Report Proc. of the International Conference on Rules and Rule Markup Languages for the Semantic Web (2005). To Appear Straccia, Umberto. Query Answering in Normal Logic Programs under Uncertainty. In Proceedings of the 8th European Conferences on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU-05), 2005. http://faure.iei.pi.cnr.it/~straccia/download/papers/ECSQARU05/ECSQARU05.pdf C. V. Damasio, L. M. Pereira. Sorted Monotonic Logic Programs and their embedding (extended version). Invited paper in the session of Logic Programming with Imperfect Information of Information Processing and Management of Uncertainty, IPMU'04, Perugia, Italy, July 2004, pp- 807-814. http://centria.di.fct.unl.pt/~cd/publicacoes/smlp.ps C. V. Damasio, L. M. Pereira. Antitonic Logic Programs. In Thomas Eiter, Wolfgang Faber, Mirosaw Truszczynski (Eds.): Logic Programming and Nonmonotonic Reasoning, 6th International Conference, LPNMR01 <http://www.kr.tuwien.ac.at/lpnmr01> , Vienna, Austria, September 17-19, 2001, Proceedings. Lecture Notes in Artificial Intelligence 2173 Springer 2001, ISBN http://centria.di.fct.unl.pt/~cd/publicacoes/lpnmr01.ps.gz R. Ebrahim, Fuzzy Logic Programming, Fuzzy Sets and Systems, 2001, 117 (215-230) http://www.sciencedirect.com/science?_ob=ArticleURL <http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V05-419BGF0-6&_c overDate=01%2F16%2F2001&_alid=310283256&_rdoc=1&_fmt=&_orig=search&_qd=1&_cd i=5637&_sort=d&view=c&_acct=C000059671&_version=1&_urlVersion=0&_userid=8347 3&md5=42278a4cf733f104b4187b2d550ba7ec> &_udi=B6V05-419BGF0-6&_coverDate=01%2F16%2F2001&_alid=310283256&_rdoc=1&_fmt =&_orig=search&_qd=1&_cdi=5637&_sort=d&view=c&_acct=C000059671&_version=1&_u rlVersion=0&_userid=83473&md5=42278a4cf733f104b4187b2d550ba7ec Mateis, C.: Extending disjunctive logic programming by t-norms. Proceedings of the 5th International Conference on Logic Programming and Nonmonotonic Reasoning, London, UK, Springer-Verlag (1999) 290-304 http://citeseer.csail.mit.edu/mateis99extending.html Gerd Wagner. Negation in fuzzy and possibilistic logic programs. In T. Martin and F. Arcelli, editors, Logic programming and Soft Computing. Research Studies Press, 1998. Flint Fuzzy Logic Toolkit, http://www.lpa.co.uk/fln.htm
Received on Wednesday, 7 September 2005 09:07:51 UTC