- From: Evain, Jean-Pierre <evain@ebu.ch>
- Date: Wed, 28 Apr 2010 15:15:45 +0200
- To: 'Daniel Park' <soohongp@gmail.com>, "public-media-annotation@w3.org" <public-media-annotation@w3.org>
- Message-ID: <7D1656F54141C042A1B2556AE5237D60010CD0588B3B@GVAMAIL.gva.ebu.ch>
As I said before we use 'compression' or 'encoding' (although not for wrappers). From: public-media-annotation-request@w3.org [mailto:public-media-annotation-request@w3.org] On Behalf Of Daniel Park Sent: mercredi, 28. avril 2010 15:14 To: public-media-annotation@w3.org Subject: [call for comments] ma:compression vs. ma:coding vs. ma:encoding - REMIND Folks, This loop is very valuable discussion, but now we might select one definition to be ready for LC. Of course this technical debate can be kept in parallel... So, once again, what's your opinion. Please selece one [1] ma:compression [2] ma:coding [3] ma:encoding Daniel On Wed, Apr 28, 2010 at 4:49 PM, Daniel Park <soohongp@gmail.com<mailto:soohongp@gmail.com>> wrote: Folks, Given the comment below: "ma:compression" Have you considered calling it ma:coding instead? One may wish to use a coding of a resource for purposes other than compression (e.g. fast random access, low memory footprint, minimal CPU usage, etc.) and in some cases the coding might cause the representation to be bigger than the source. We'd see your opinions which might be good selection for our property. Please reply to me quickly. (Due is strictely today) [1] ma:compression [2] ma:coding [3] ma:encoding Daniel On Tue, Apr 27, 2010 at 12:28 AM, Evain, Jean-Pierre <evain@ebu.ch<mailto:evain@ebu.ch>> wrote: Hi Daniel, In EBU, we use 'compression' or 'encoding' .(not coding) Regards, JP From: Daniel Park [mailto:soohongp@gmail.com<mailto:soohongp@gmail.com>] Sent: lundi, 26. avril 2010 17:07 To: Evain, Jean-Pierre Subject: Re: Ontology definition JP, I'd ask your opinion on the comment below: "ma:compression" Have you considered calling it ma:coding instead? One may wish to use a coding of a resource for purposes other than compression (e.g. fast random access, low memory footprint, minimal CPU usage, etc.) and in some cases the coding might cause the representation to be bigger than the source. What do you think ? Please feedback quickly... Thanks in advance, Daniel 2010/4/26 Evain, Jean-Pierre <evain@ebu.ch<mailto:evain@ebu.ch>> ;-), JP From: public-media-annotation-request@w3.org<mailto:public-media-annotation-request@w3.org> [mailto:public-media-annotation-request@w3.org<mailto:public-media-annotation-request@w3.org>] On Behalf Of Daniel Park Sent: lundi, 26. avril 2010 15:46 To: public-media-annotation@w3.org<mailto:public-media-annotation@w3.org> Subject: Fwd: Ontology definition The Forwarding Message will be attached. ---------- Forwarded message ---------- From: "Strassner John Charles" <johns@postech.ac.kr<mailto:johns@postech.ac.kr>> To: public-media-annotation@w3.org<mailto:public-media-annotation@w3.org>, johns@postech.ac.kr<mailto:johns@postech.ac.kr> Date: Mon, 26 Apr 2010 21:47:18 +0900 (KST) Subject: Ontology definition Hi team, here is the definition of an ontology that I use when I teach. It is my definition, so you are free to blame me. :-) This is from the following reference: J. Strassner, “Knowledge Engineering Using Ontologies”, Handbook of Network and System Administration, edited by J. Bergstra and M. Burgess, Chapter 3, Section 4, pages 425-457, ISBN 9780444521989 An ontology is a formal, explicit specification of a shared, machine-readable vocabulary and meanings, in the form of various entities and relationships between them, to describe knowledge about the contents of one or more related subject domains throughout the life cycle of its existence. These entities and relationships are used to represent knowledge in the set of related subject domains. Formal refers to the fact that the ontology should be representable in a formal grammar. Explicit means that the entities and relationships used, and the constraints on their use, are precisely and unambiguously defined in a declarative language suitable for knowledge representation. Shared means that all users of an ontology will represent a concept using the same or equivalent set of entities and relationships. Subject domain refers to the content of the universe of discourse being represented by the ontology. Ontologies can be combined or related to each other using ontological commitments as follows: An ontology commitment represents a selection of the best mapping between the terms in an ontology and their meanings. Hence, ontologies can be combined and/or related to each other by defining a set of mappings that define precisely and unambiguously how one node in one ontology is related to another node in another ontology. regards, John -- Soohong Daniel Park Samsung Electronics, DMC R&D http://sites.google.com/site/natpt00/home | Twitter@natpt ________________________________ ************************************************** This email and any files transmitted with it are confidential and intended solely for the use of the individual or entity to whom they are addressed. If you have received this email in error, please notify the system manager. This footnote also confirms that this email message has been swept by the mailgateway ************************************************** -- Soohong Daniel Park Samsung Electronics, DMC R&D http://sites.google.com/site/natpt00/home | Twitter@natpt -- Soohong Daniel Park Samsung Electronics, DMC R&D http://sites.google.com/site/natpt00/home | Twitter@natpt -- Soohong Daniel Park Samsung Electronics, DMC R&D http://sites.google.com/site/natpt00/home | Twitter@natpt
Received on Wednesday, 28 April 2010 13:16:28 UTC