http://introspector.sourceforge.net/2002/12/16/tmp_rdf-core.h_.tu__global__Mon_Dec_16_23_38_43_2002_34-dump.ntriple#id-980
mdupont: <#id-980> <&FIELD;#strg> "librdf_model" .
mdupont: is a rdf_model identifier
mdupont: is a rdf_model identifier
mdupont: is a dump of the core of rdf types and functions
mdupont: non compressed version here http://introspector.sourceforge.net/2002/12/16/tmp_rdf-core.h_.tu__global__Mon_Dec_16_23_38_43_2002_34-dump.ntriple 512k ntriples file
mdupont: (L: via the blogger) was derived this this c source, extracted from the expanded sources of libredland
mdupont: non compressed version here http://introspector.sourceforge.net/2002/12/16/tmp_rdf-core.h_.tu__global__Mon_Dec_16_23_38_43_2002_34-dump.ntriple 512k ntriples file
mdupont: (L: via the blogger) was derived this this c source, extracted from the expanded sources of libredland
dajobe: 
dajobe: the Secretary Bird
dajobe: or is it the RDF Phoenix?
dajobe: it is a bird of prey, also known as a Raptor
dajobe: The Practical RDF weblog (suspended till the book is finished)
dajobe: the Secretary Bird
dajobe: or is it the RDF Phoenix?
dajobe: it is a bird of prey, also known as a Raptor
dajobe: The Practical RDF weblog (suspended till the book is finished)
jhendler: The page http://www.daml.org/crawler/pages.html contains the results
jhendler: see http://www.daml.org/2001/09/damldb/ for details about the database use in this
jhendler: see http://www.daml.org/2001/09/damldb/ for details about the database use in this
jhendler: Semi-automatic composition of web services using semantics
jhendler: MINDSWAP paper - describes work on using semantics for combination/filtering of web services
jhendler: describes combining DAML-S and WSDL
jhendler: paper a bit rough, but should convey the main ideas.
jhendler: MINDSWAP paper - describes work on using semantics for combination/filtering of web services
jhendler: describes combining DAML-S and WSDL
jhendler: paper a bit rough, but should convey the main ideas.
mdupont: Abstract: We present a vision of next generation tools and services that will enable the widespread development and use of computer interpretable ontologies. Central to that vision is the notion of distributed ontology repositories resident on multiple ontology servers containing large-scale highly structured ontologies and supported by sophisticated ontology construction, testing, merging, extraction, reformulation, and translation tools.
mdupont: Comment in the abstract : One of our main efforts concerns the representation of uncertain knowledge within an ontology. This work aims to integrate the two most prominent paradigms in knowledge representation: Bayesian networks and first-order logic. The representation language resulting from this work will enable ontologies to contain richly textured descriptions that include uncertainty, are structured into multiple views and abstraction
mdupont: and are expressed in a generic representation formalism optimized for reuse.
mdupont: See also The full abstract
mdupont: this is also a Darpa project btw
mdupont: QUOTE from Innovative Claims We will develop tools for testing ontologies that enable a developer to use an ontology to describe familiar situations and to query those situations to determine if the situations as described have expected properties. The query answering facility will use the ontology server's general purpose reasoner to derive answers.
mdupont: Another quote about uncertain ontologies: The results will enable ontologies to contain richly textured descriptions that include uncertainty, are structured into multiple views and abstractions, and are expressed in a generic representation formalism optimized for reuse. In addition, a computer interpretable ontology description language will enable annotation of ontologies with assumptions made, approximations made, topics covered, example
mdupont: es, competency, relationships to other ontologies, etc.
mdupont: Comment in the abstract : One of our main efforts concerns the representation of uncertain knowledge within an ontology. This work aims to integrate the two most prominent paradigms in knowledge representation: Bayesian networks and first-order logic. The representation language resulting from this work will enable ontologies to contain richly textured descriptions that include uncertainty, are structured into multiple views and abstraction
mdupont: and are expressed in a generic representation formalism optimized for reuse.
mdupont: See also The full abstract
mdupont: this is also a Darpa project btw
mdupont: QUOTE from Innovative Claims We will develop tools for testing ontologies that enable a developer to use an ontology to describe familiar situations and to query those situations to determine if the situations as described have expected properties. The query answering facility will use the ontology server's general purpose reasoner to derive answers.
mdupont: Another quote about uncertain ontologies: The results will enable ontologies to contain richly textured descriptions that include uncertainty, are structured into multiple views and abstractions, and are expressed in a generic representation formalism optimized for reuse. In addition, a computer interpretable ontology description language will enable annotation of ontologies with assumptions made, approximations made, topics covered, example
mdupont: es, competency, relationships to other ontologies, etc.
mdupont: they cover Text classification techniques using statistical (Naive Bayes) and knowledge based techniques
mdupont: ABSTRACT : The Semantic Web relies heavily on the formal ontologies that structure underlying data for the purpose of comprehensive and transportable machine understanding. Therefore, the success of the Semantic Web depends strongly on the proliferation of ontologies, which requires fast and easy engineering of ontologies and avoidance of a knowledge acquisition bottleneck
mdupont: Ontology Learning
mdupont: greatly facilitates the construction of ontologies by the ontology engineer.
mdupont: Ontology Learning
mdupont: greatly facilitates the construction of ontologies by the ontology engineer.
mdupont: Query brokering systems are used to direct queries to the promising sites and
mdupont: In this article, we introduce an ontology-based web site mapping method used to produce conceptual meta-information, the Vector Space approach
mdupont: In this article, we introduce an ontology-based web site mapping method used to produce conceptual meta-information, the Vector Space approach
danja: Personal Knowledge Manager
danja: a.k.a. semweb client
danja: (Java) source now available
danja: (uses Jena)
DanCon: does it grok relationships other than seeAlso?
DanCon: the "download" link points to a zip file; I'm almost interested enough to try it out, but if there were a page of installation instructions that I could read before I download it, I'd feel more secure about investing the time to try it.
dajobe: danja, you better come back and visit if you want more comments on this. There are problems with unclear licensing, for me at least.
DanCon: mdupont notes TouchGraph is similar, with a more clearly open source license. at a glance, it does look interesting.
mdupont: mdupont also notes VCG destined to take over the GraphViz market by giving the users free software
danja: a.k.a. semweb client
danja: (Java) source now available
danja: (uses Jena)
DanCon: does it grok relationships other than seeAlso?
DanCon: the "download" link points to a zip file; I'm almost interested enough to try it out, but if there were a page of installation instructions that I could read before I download it, I'd feel more secure about investing the time to try it.
dajobe: danja, you better come back and visit if you want more comments on this. There are problems with unclear licensing, for me at least.
DanCon: mdupont notes TouchGraph is similar, with a more clearly open source license. at a glance, it does look interesting.
mdupont: mdupont also notes VCG destined to take over the GraphViz market by giving the users free software
dajobe: nearly there. I've implemented bagID, not that anyone ever complained it was missing.
DanCon: I'm getting cold feet about nodeID (and rdf:datatype).
DanCon: I'm getting cold feet about nodeID (and rdf:datatype).
dajobe: I think DanC was looking for these. There should be XML.com reports soonish, I expect.
dajobe: Using DAML+OIL as a Constraint Language for Topic Maps, Eric Freese
dajobe: Normalized Metadata Format: RDF Meets XML Schema, Gabe Beged-Dov
dajobe: Using DAML+OIL as a Constraint Language for Topic Maps, Eric Freese
dajobe: Normalized Metadata Format: RDF Meets XML Schema, Gabe Beged-Dov
mdupont: <#id-976> <&FIELD;#name> <#id-980> .