[ACTION-94]: go and find examples of concept ontology (semantic features of terms as opposed to domain type ontologies)

Dear all,

 

Sorry for the delay. I tried to contact some people I think can contribute
to this, but they are not available these weeks. 

 

Before providing an example to consider all if it is worthwhile to maintain
“semantic selector” attribute in the consolidation of “Disambiguation” I
would like to do a couple considerations:

 

1.	Probably we will not have short term any implementation, but there
are for example few semantic networks available in web (see
http://www.globalwordnet.org/gwa/wordnet_table.html) that could be mapped
using semantic selectors. See on line for example, the famous
http://wordnetweb.princeton.edu <http://wordnetweb.princeton.edu/perl/webwn>
).
2.	The W3C working group SKOS (Simple Knowledge Organization System
Reference) are maybe dealing with similar things.

 

The “semántica selector” allows further lexical (simple words or multi
words) distinctions than a “domain” or an ontology like NERD. Also, the
denotation is different from the “concept reference”, most of all in part of
speech like verbs.  

 

Within the same domain, referring to very similar concepts, languages have
semantic differences. Depending on the semantic theory used, each tries to
captivate these differences by means of different systems (semantic
features, semantic primitives, semantic nodes (in semantic networks), other
semantic representations). An example could be the German verb “löschen”,
which in different contexts can take different meanings that can be try to
capture using different selectors, with the different systems.

 

–         löschen                        -> clear             (some bits)

                                   -> delete           (files)
                                   -> cancel          (programs)
                                   -> erase            (a scratchpad)
                                   -> extinguish     (a fire)

 


Other possible translations of the verb “löschen” are:


delete

löschen, streichen, tilgen, ausstreichen, herausstreichen


clear

löschen, klären, klarmachen, leeren, räumen, säubern


erase

löschen, auslöschen, tilgen, ausradieren, radieren, abwischen


extinguish

löschen, auslöschen, zerstören


quench

löschen, stillen, abschrecken, dämpfen


put out

löschen, bringen, ausmachen, ausschalten, treiben, verstimmen


unload

entladen, abladen, ausladen, löschen, abstoßen, abwälzen


discharge

entladen, erfüllen, entlassen, entlasten, löschen, ausstoßen


wipe out

auslöschen, löschen, ausrotten, tilgen, zunichte machen, auswischen


slake

stillen, löschen


close

schließen, verschließen, abschließen, sperren, zumachen, löschen


blot

löschen, abtupfen, klecksen, beklecksen, sich unmöglich machen, sich
verderben


turn off

ausschalten, abbiegen, abstellen, abdrehen, einbiegen, löschen


blow out

auspusten, löschen, aufblasen, aufblähen, aufbauschen, platzen


zap

abknallen, düsen, umschalten, löschen, töten, kaputtmachen


redeem

einlösen, erlösen, zurückkaufen, tilgen, retten, löschen


pay off

auszahlen, bezahlen, tilgen, abzahlen, abbezahlen, löschen


switch out

löschen


unship

ausladen, entladen, abnehmen, löschen


souse

eintauchen, durchtränken, löschen, nass machen


rub off

abreiben, abgehen, abwetzen, ausradieren, abscheuern, löschen


strike off

löschen


land

landen, an Land gehen, kriegen, an Land ziehen, aufsetzen, löschen

 

 

 

According to this, the consolidation of disambiguation/namedEntity/  data
categories under “Terminology”
http://www.w3.org/International/multilingualweb/lt/wiki/Requirements#disambi
guation could be the following. It is thought to cover operational URI or
XPath pointers to the current three most important semantic resources:
conceptual (ontology), semantic (semantic networks or lexical databases) and
terminological (glossaries and terminological resources), where ontologies
are used for both general lexicon and terminology, semantic networks to
represent general vocabulary (lexicon), and terminological resources
specialized vocabulary.

 

disambiguation

Includes data to be used by MT systems in disambiguating difficult content

 

Data model

*	concept reference: points to a concept in an ontology that this
fragment of text represents. May be an URI or an XPath pointer.
*	semantic selector: points to a meaning in an semantic network that
this fragment of text represents. May be an URI or an XPath pointer.
*	terminology reference: points to a term in a terminological resource
that this fragment of text represents. May be an URI or an XPath pointer.
*	equivalent translation: expressions of that concept in other
languages, for example for training MT systems

 

 

Also, I would keep textAnalysisAnnotation, since the purpose is quite
different.

 

Anyway, if we consider not to include “semantic selector” now, maybe it can
be for future versions or to be treated in liaison with other groups.

 

I hope it helps,

Pedro

 

__________________________________

 

Pedro L. Díez Orzas

Presidente Ejecutivo/CEO

Linguaserve Internacionalización de Servicios, S.A.

Tel.: +34 91 761 64 60
Fax: +34 91 542 89 28 

E-mail:  <mailto:pedro.diez@linguaserve.com> pedro.diez@linguaserve.com

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