- From: Gian Piero ZARRI <gian-piero.zarri@univ-paris12.fr>
- Date: Wed, 05 Aug 2009 17:35:28 +0200
- To: Yves Raimond <yves.raimond@gmail.com>
- CC: Gian Piero Zarri <zarri@noos.fr>, Ansgar Scherp <scherp@uni-koblenz.de>, public-lod@w3.org
- Message-ID: <4A79A6C0.5020707@univ-paris12.fr>
Dear Yves, The paper on NKRL you mention is a quite old one. With respect now to OntoMedia, this work is regularly mentioned at page 14 of my book, in particular [Tuffield et al., 2006] and the site eprints.ecs.soton.ac.uk/12695. May be, that is not very much... Best regards, G.P. Zarri Yves Raimond a écrit : > Hello! > > >> I was abroad these last weeks, and unable then to follow this thread with >> the necessary attention. It seems however evident to me that, when dealing >> contemporaneously with terms like "ontology" and "event", one should have at >> least a look at NKRL (Narrative Knowledge Representation Language). NKRL is, >> in fact, a language and software environment expressly created for dealing >> in a somewhat 'intelligent' way with "narratives", i.e., in practice, with >> streams of (complex) events. >> >> To do this, NKRL makes use of two different ontologies, a 'standard' >> (binary) one for dealing with 'static notions' like, among other things, >> "objects and persons participating in events", and an n-ary one for >> describing general classes of events like "moving an object", "making a >> trip", "starting a company", "having a positive/negative attitude >> for/against someone/something", "living in a place", "receiving some money", >> "feeling ill" etc. Of course, NKRL is also endowed with all sort of >> conceptual tools to represent temporal information and event correlations >> ("connectivity phenomena"), and with high-level inference tools. Interested >> people can consult my recent (Springer, 2009) book on this subject: >> "Representation and Management of Narrative Information - Theoretical >> Principles and Implementation", see >> http://www.springer.com/computer/artificial/book/978-1-84800-077-3 or, for >> an introduction, my paper at the "2009 AAAI Spring Symposium on Intelligent >> Complex Event Processing" in Stanford. >> > > Really interesting! Just out of curiosity - the only article I could > take a look at about NKRL is [1], and it doesn't seem to hold a > reference to the OntoMedia work done at Southampton University - how > do the two relate to each other (are they related at all?) > > Cheers, > y > [1] http://portal.acm.org/citation.cfm?id=974473 > > >> Regards, >> >> Gian Piero Zarri >> University Paris-Est/Paris12 >> LiSSi Laboratory >> France >> Email: zarri@noos.fr, gian-piero.zarri@univ-paris12.fr >> >> >> >> Ansgar Scherp a écrit : >> >> Dear all >> >> >> It is quite interesting to see this very long thread on events. In the past >> time >> we have studied many event models (see, e.g., the list Raphael Troncy sent >> around). >> When studying them, I was very surprised that for many of them no >> foundational >> literature was studied (philosophy, linguistics, cognitive sciences, etc.). >> Rather, the models seem to be developed add hoc and remain in fact quite >> simple >> for the always argued reason of "being generic". >> >> Libby Miller says, "events are difficult and complex things to model". And >> we >> would like to stress that fact. Indeed, getting a fully comprehensive >> understanding >> of what events are is very difficult and challenging. As such, a simple >> model >> will hardly work. In particular, when interoperability between different >> systems >> is needed. >> >> Thus, I am happy to announce that at this year's Knowledge Capturing >> conference >> we will present the Event-Model-F that aims filling the gap of a >> comprehensive and >> at the same time semantically precise event model [1]. The event model is >> available >> in OWL and axiomatized using DL (see older TR [2]). What I did for this >> event model >> is reading literature of foundational sciences and discussing the topic with >> philosophers. The Event-Model-F provides comprehensive support to represent >> * time and space, >> * objects and persons participating in events, and >> * mereological, causal, and correlative relationships between events. >> In addition, the Event-Model-F provides a flexible means for >> * event composition, >> * modeling event causality and event correlation, and >> * representing different interpretations of the same event. >> >> As sometimes not all of this functionality is needed, the event model is >> organized >> in patterns. Thus, it is easier to understand to use (just take what you >> need >> and the leave the rest out). >> >> The event model has its own webpage, where also comprehensive examples are >> available, e.g., from the emergency response domain: >> http://isweb.uni-koblenz.de/eventmodel/ >> >> Documentation of the Event-Model-F can be found in [1]. >> >> Finally, I would like to draw your attention to a workshop conjunct with >> this >> year's ACM Multimedia conference that is concerned of events as happenings >> in the >> real world. This is an effort done together with Ramesh Jain and Mohan >> Kankanhalli. >> http://www.uni-koblenz.de/confsec/eimm09/ >> >> >> Best >> >> Ansgar >> >> [1] A. Scherp, T. Franz, C. Saathoff and S. Staab, F---A Model of Events >> based on >> the Foundational Ontology DOLCE+DnS Ultralight, International Conference on >> Knowledge Capturing (K-CAP), Redondo Beach, CA, USA, September, 2009. >> http://isweb.uni-koblenz.de/eventmodel/event-model-f-kcap.pdf >> >> [2] A. Scherp, T. Franz, C. Saathoff, S. Staab: A Model of Events based on a >> Foundational Ontology, Technical Report of the Department of Computer >> Science, >> 02/2009, University of Koblenz-Landau, ISSN (Online) 1864-0850 >> >> > >
Received on Wednesday, 5 August 2009 21:14:36 UTC