1. 1 CIS607, Fall 2004 Semantic Information Integration Presentation by Xiangkui Yao Week 6 (Nov. 3)

2. 2 Questions from Homework 4 What’s relationship between translation/transformation system and ontology merging/alignment? – Can the transformation functions described here be used for ontology merging/alignment and how? – Vikash – What is the difference between translation and merging (specifically alignment)? – Paea – How is writing translation rules any easier than manually merging ontologies? -- Julian

3. 3 Questions from Homework 4 (cont ’ d) About the translation/rewriting rules. – When describing the military scenario 'Action Critiquer', they mention that there were around 30 rulesets. Are these rulesets specific to the problem in hand (i.e. these rules have to be generated for each application specific task) or are they general and can be applied to any application? – Vikash – So someone has to sit down, understand the source and target knowledge representations and come up with translatation rules to feed into OntoMorph, right? So who's time does OntoMorph end up saving in the end? – Paea

4. 4 Questions from Homework 4 (cont ’ d) About the translation/rewriting rules (cont’d). – Does OntoMorph provide any tools to aid in the creation or syntactic/semantic rewriting rules? Does it do any type checking with regards to the ontologies/ KRs being rewritten? -- Julian – Would an ontology mapper using OntoMorph have to become an expert in Lisp like programming syntax just to map two ontologies, or is there a GUI front end for OntoMorph? -- Kevin – What is the current state of research into the area of automatic the production of bridging axioms. -- Kevin

5. 5 Questions from Homework 4 (cont ’ d) Other questions about these papers: – Am I correct in understanding that OntoMorph inherits its semantic properties almost completely from PowerLoom? That, in essence, OntoMorph is foremost a syntactic rewriting tool? I guess I would like to know more about how the two co-mingle. – Dejing et al note that OntoMorph does not address the question of producing a general-purpose translator because it relies on properties of the datasets being translated. How so? -- Paea – The precision of the semantic import using PowerLoom can affect the quality of the translation and the best way to solve this is dependent on a case by case solution. OntoMorph test cases so far have been accomplished by importing partial semantic info, I am curious on how OntoMorph would do on a test case that partial semantic information will not suffice and the precision of the semantic import will affect the translation? – Since PowerLoom does present this problem why build OntoMorph on top of it. -- Kim