- From: Marja Koivunen <marja@annotea.org>
- Date: Tue, 22 Aug 2006 15:57:28 -0400
- To: Tim Berners-Lee <timbl@w3.org>
- CC: wangxiao@musc.edu, "Miller, Michael D (Rosetta)" <Michael_Miller@Rosettabio.com>, Alan Ruttenberg <alanruttenberg@gmail.com>, Mark Wilkinson <markw@illuminae.com>, public-semweb-lifesci@w3.org, www-tag@w3.org
I agree, consistent use of terms makes life easier for machines and for humans too when the terms have been agreed on, learned, and understood. Unfortunately, this takes a lot of effort and dedication from the humans. Learning a whole ontology before anything can be done is a bit like reading the whole manual of a DVD player before one can use that. And we all know that while there are people who actually read the whole manual, they are a minority. As a usability person I always like to see the machines support the humans as much as possible and not vice versa. In my view, new inventions often start from not so great terms and evolve stepwise as learning happens. Often terms are first shared and polished in small groups and later links are made between groups that may use different terminologies for similar things. If we want to support humans doing inventions I think we should support the use of different terms, their evolution, and making connections between similar terms when they are discovered as much as possible. And I think Semantic Web is great for that. Marja Tim Berners-Lee wrote: > > Yes, indeed. Machine processing of information relies on > consistent usage of terms. You can't reuse information for > new problems when its use requires human intervention to disambiguate > it. > > Tim Berners-Lee > > On Aug 10, 2006, at 21:54, wangxiao@musc.edu wrote: > >> >> Quoting "Miller, Michael D (Rosetta)" <Michael_Miller@Rosettabio.com>: >> >>> You're correct here but it is the state of the art. Interestingly >>> enough, I've found that in general the biology-based scientists and >>> investigators are not all that bothered by this confusion and despite >>> the confusion seem to make their way through it. >> >> >> The problem is that semantic web is intended to make machine to >> understand. And >> the clarity is a prerequisite to instruct machine unambigously. >> >> Xiaoshu >> > >
Received on Tuesday, 22 August 2006 19:58:08 UTC