It would be a lot more feasable to induce ontologies if we agreed on what it meant have a good ontology. I claim the crafting a good ontology is an AI- hard or in another words a human-hard task. I've been a little bit surprised in the last few years of the numbers of request for proposals for the automatic induction of ontologies. I would've much rather seen that money spent on us deciding what it meant to do good data model design. Once we know what a good ontology is, we can properly judge attempts to automatically induce such things. But it's clear to me that the automatic induction of ontologies is also NLP-hard :^). And Google Translate isn't going to get us to full natural language understanding or anything close to it. I claim this will require handcrafted ontologies. So the bottom line to me is that once we've completely modeled our practical world, we will be prepared to automatically induce that model :^).
Showing posts with label Ontologies. Show all posts
Showing posts with label Ontologies. Show all posts
Tuesday, January 28, 2014
On automatically inducing ontologies
It would be a lot more feasable to induce ontologies if we agreed on what it meant have a good ontology. I claim the crafting a good ontology is an AI- hard or in another words a human-hard task. I've been a little bit surprised in the last few years of the numbers of request for proposals for the automatic induction of ontologies. I would've much rather seen that money spent on us deciding what it meant to do good data model design. Once we know what a good ontology is, we can properly judge attempts to automatically induce such things. But it's clear to me that the automatic induction of ontologies is also NLP-hard :^). And Google Translate isn't going to get us to full natural language understanding or anything close to it. I claim this will require handcrafted ontologies. So the bottom line to me is that once we've completely modeled our practical world, we will be prepared to automatically induce that model :^).
Monday, November 4, 2013
The Semanic Effort
Basic Information:
- The Semanic effort is an attempt to create a small experimental semantic web featuring formal semantic modeling and integration of genealogical data. It employs some ambitious/radical temporal reasoning techniques and high expressivity. In particular, it boldly reifies all times as a shared library of time interval instances to boost the expressivity of temporal reasoning. The name is meant to be a sticky/memorable pun that suggests a somewhat manic ambition in combining many difficult-to-reconcile design goals and the hated single ontology.
- The most recent ontology is to be found at http://semanic.org/OntDef/08-26-12/SemanticGEDCOM.owl.
- The time instance data is found at "http://semanic.org/RefDat/09-26-12/Time/TimeWeb.owl". This is a large file. You may want to individually load the 100-year files.
- To submit a SPARQL or Prolog query against the genealogical data, go to this link.
- Peterson, E., Reified Literals: A Best Practice Candidate Design Pattern for Increased Expressivity in the Intelligence Community, Semantic Technology for Intelligence, Defense, and Security, Fairfax, VA, 2010
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