Community:Modelling Questions - Revision history

JeffWaters: Added an additional scenario related to emergency management, routing of a patient.

2010-09-30T21:43:01Z

Added an additional scenario related to emergency management, routing of a patient.

EvaBlomqvist at 19:37, 30 September 2010

2010-09-30T19:37:29Z

EvaBlomqvist at 19:32, 30 September 2010

2010-09-30T19:32:27Z

EvaBlomqvist at 19:30, 30 September 2010

2010-09-30T19:30:18Z

EvaBlomqvist at 19:29, 30 September 2010

2010-09-30T19:29:43Z

EvaBlomqvist: New page: {{TitleDescription Template |Title=Modeling Questions |Description=This problem came up in the context of the W3C Decision Incubator activity, however, it is more general than the decision...

2010-09-30T19:18:29Z

New page: {{TitleDescription Template |Title=Modeling Questions |Description=This problem came up in the context of the W3C Decision Incubator activity, however, it is more general than the decision...

New page

{{TitleDescription Template
|Title=Modeling Questions
|Description=This problem came up in the context of the W3C Decision Incubator activity, however, it is more general than the decision-making domain. It is about how to formally represent questions in OWL. For instance, if I ask a question like "Where did this emergency occur?" I would simply represent it as a string. However, the question contains a lot of information, so in some cases one might want to represent it formally, and possibly reason on the question itself. For instance, we may want to derive that the answer should be of type "location" from the fact that the question uses the keyword "where".

We have identified two main aspects of this modeling issue:
# How can we refer to the detailed description of the question?
# How can we model the semantics of the question itself?

}}
{{Graphical representation}}
{{Modeling Issue Template
|Author=EvaBlomqvist
|Domain=General
|CompetencyQuestion=What is the variable of this question? What are the additional constraints set by this question? What is the type of thing this question is asking for?
|Scenario=In the decision-making context, I may be about to decide from what shop to buy a certain product. My question could be "From what shop should I buy a car of model x, manufactured later than 2003?". My decision will be the answer to that question. In this case the variable is indicated by the "what" keyword, and restricted to take values of type "shop", or possibly even more specifically "car dealers". The model an year restricts the answer set for the question, i.e., I don't want the answer to be some car dealer that doesn't sell model x. By representing this question formally, rather than just as a string, I would be able to relate the parts of the question to things such as metrics for assessing my options (i.e., the different shops), and checking that a proposed answer is actually of type "car dealer" and "shop".
}}
{{Additional information header}}

{{My references}}
{{Modeling Issue toolbar}}
{{Submission to event
|Event=WOP:2010
}}

@@ Line 21: / Line 21: @@
 |CompetencyQuestion=What is the variable of this question? What are the additional constraints set by this question? What is the type of thing this question is asking for?
 |Scenario=In the decision-making context, I may be about to decide from what shop to buy a certain product. My question could be "From what shop should I buy a car of model x, manufactured later than 2003?". My decision will be the answer to that question. In this case the variable is indicated by the "what" keyword, and restricted to take values of type "shop", or possibly even more specifically "car dealers". The model an year restricts the answer set for the question, i.e., I don't want the answer to be some car dealer that doesn't sell model x. By representing this question formally, rather than just as a string, I would be able to relate the parts of the question to things such as metrics for assessing my options (i.e., the different shops), and checking that a proposed answer is actually of type "car dealer" and "shop".
 }}
 {{Additional information header}}

@@ Line 17: / Line 17: @@
 {{Graphical representation}}
 {{Modeling Issue Template
-|Author=EvaBlomqvist
+|Author=EvaBlomqvist, JeffWaters
 |Domain=General, Decision-making,
 |CompetencyQuestion=What is the variable of this question? What are the additional constraints set by this question? What is the type of thing this question is asking for?
 |Scenario=In the decision-making context, I may be about to decide from what shop to buy a certain product. My question could be "From what shop should I buy a car of model x, manufactured later than 2003?". My decision will be the answer to that question. In this case the variable is indicated by the "what" keyword, and restricted to take values of type "shop", or possibly even more specifically "car dealers". The model an year restricts the answer set for the question, i.e., I don't want the answer to be some car dealer that doesn't sell model x. By representing this question formally, rather than just as a string, I would be able to relate the parts of the question to things such as metrics for assessing my options (i.e., the different shops), and checking that a proposed answer is actually of type "car dealer" and "shop".

@@ Line 1: / Line 1: @@
 {{TitleDescription Template
 |Title=Modeling Questions
-|Description=This problem came up in the context of the W3C Decision Incubator activity, however, it is more general than the decision-making domain. It is about how to formally represent questions in OWL. For instance, if I ask a question like "Where did this emergency occur?" I would simply represent it as a string. However, the question contains a lot of information, so in some cases one might want to represent it formally, and possibly reason on the question itself. For instance, we may want to derive that the answer should be of type "location" from the fact that the question uses the keyword "where".
+|Description=This problem came up in the context of the [http://www.w3.org/2005/Incubator/decision/wiki/Main_Page W3C Decision Incubator activity], however, it is more general than the decision-making domain. It is about how to formally represent questions in OWL.
 We have identified two main aspects of this modeling issue:
@@ Line 7: / Line 9: @@
 # How can we model the semantics of the question itself?
 }}
 {{Graphical representation}}
@@ Line 13: / Line 18: @@
 |Domain=General
 |CompetencyQuestion=What is the variable of this question? What are the additional constraints set by this question? What is the type of thing this question is asking for?
 |Scenario=In the decision-making context, I may be about to decide from what shop to buy a certain product. My question could be "From what shop should I buy a car of model x, manufactured later than 2003?". My decision will be the answer to that question. In this case the variable is indicated by the "what" keyword, and restricted to take values of type "shop", or possibly even more specifically "car dealers". The model an year restricts the answer set for the question, i.e., I don't want the answer to be some car dealer that doesn't sell model x. By representing this question formally, rather than just as a string, I would be able to relate the parts of the question to things such as metrics for assessing my options (i.e., the different shops), and checking that a proposed answer is actually of type "car dealer" and "shop".
 }}
 {{Additional information header}}