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USE CASE: MSc Programs #17
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One issue that a consuming application has to deal with when using an application profile that I don't think is mentioned here is what to do with incoming data that conforms to the base specification but does not adhere to the application profile. Options:
Option 2 might seem the obvious route, but many applications prescribe a minimal profile, i.e. saying something like "you must supply this much data before we will accept any", while encouraging provision of more data. |
@philbarker , I think this might be a new use case. When I wrote this use case, I was not thinking about an already existing base profile. Instead, I was thinking that a base profile might emerge from the inputing data. |
In SHACL and ShEx these two cases are handled with a statement that the graph being investigated (which could be the same as what we define as a profile) is either OPEN (allow properties that are not included in the validation document) or CLOSED (only allow properties that are included in the validation document). I have included the ShEx property Would one of you add this as a use case? Thanks. |
@kcoyle, I am not sure we are talking about the same thing. I think I should make this use case more clear. I am thinking on how to organize the data in the design phase. I mean, suppose that we want to develop an application that only uses data that others make available (e.g., Eurostat, aggregated data from European hospitals and aggregated transportation data). This data may have different properties, but also equal properties and equivalent properties. My question is: how do we, in the design phase, handle this potential diversity and superposition? |
@analice1pt I wasn't thinking that profiles themselves would handle mapping. Again, perhaps a more detailed example of a single situation (e.g. with just a few elements) would help us think about this. |
@analice1pt the point here is: |
@marianamalta , I guess that depends on what is an application profile and how it can be used. I like AP to support the design process, not only to inform others about the data that I am making available (if any). |
Right. But the process of developing an AP can be complex, how deep do you want to go? This is something (the tracking of the process) that might not have an ending! |
I'm trying to develop requirements from this. Do either (or both) of these capture the sense?
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@kcoyle , I agree with those requirements. I just would like to point out that mapping between data sources may not capture all the meaning: the idea is mapping between profiles of different data sources. |
@analice1pt Mapping between profiles would require that the individual statements in each profile are identified as belonging to that profile. As a reminder, all properties / elements in a profile are pre-defined in vocabularies. So when a profile reuses |
@kcoyle , I am not sure I understood your comment. I was meaning that we should be able to map between the properties, types of values, and other constraints of the data sources, not between the data sources themselves. When I referred to APs, I was meaning both implicit and explicit APs. By implicit APs I mean APs that may be inferred by the data. |
Creator: Ana Alice Baptista
Problem statement
Application that combines and integrates aggregated Linked Open Data of courses from several European universities, processes that data and releases the processed data as LOD. In this case we have LOD both as input and output. The data is conformant to three application profiles (AP1, AP2 and AP3). This causes that although the structures of the datasets are similar, some properties and constraints over values differ. For example:
• Property: indication of the University of a course: AP1 uses
eg1:foo
AP2 useseg2:bar,
AP3 useseg3:baz
.• Ranges of the property in the AP: AP1 uses
eg1:Foo
, AP2 useseg2:Bar
and AP3 usesxsd:string
.• Relationships: in AP1 one course is related with one or more universities; in AP2 one course may be related to zero or more universities; in AP3 one course relates with one and only one university.
The questions are:
1 - How to map data originating from different datasets?
2 - How to deal with different but equivalent properties?
3 - How to deal with different domains and ranges of equivalent properties?
4 - How to deal with different constraints over values?
Stakeholders
Data providers, universities, future university students and other potential users of the application.
Links
Requirements
R1 – To be able to identify, relate and map possibly conflicting application profiles.
R2 – To be able to state preferred properties, classes and related constraints over possibly conflicting possibilities.
R3 – To be able to identify which data sources are related to a given profile.
Comments
We usually think of application profiles for data that we want to make available. How do we do when we want to develop applications that use data made available by others?
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