- From: Frans Knibbe <frans.knibbe@geodan.nl>
- Date: Tue, 26 Jan 2016 11:09:47 +0100
- To: Joshua Lieberman <jlieberman@tumblingwalls.com>, Linda van den Brink <l.vandenbrink@geonovum.nl>
- Cc: "SDW WG (public-sdw-wg@w3.org)" <public-sdw-wg@w3.org>
- Message-ID: <CAFVDz437r3iWSOPaqoPH1KDX5mXhGBssjS1og3DamceTARa+OQ@mail.gmail.com>
Yes, there is often a need to integrate data that are modelled in different ways. But that is a general requirement, I think. Not something typically spatial. Is location really necessary or the best way to make clear that different staments relate to the same thing? I also don't see how the real world feature plays a role here. This seems to be all about different models, different abstractions in data. Regards, Frans 2016-01-25 19:50 GMT+01:00 Joshua Lieberman <jlieberman@tumblingwalls.com>: > This can be a very helpful use case as it shows a situation where not only > multiple datasets but multiple models are connected by common geography. We > had discussed that connecting different datasets to the same real world > feature as representing an opportunity for integration, e.g. semantic > consistency. In the cases of the perspectives described below, they are > cognitively different real world features being recognized for the same > building, which is quite common in both engineering and asset management. > There is the “real” feature that you can see and touch, and multiple > “formal” features such as declared assets or as-builts. It is important to > recognize the coincidence of data about multiple features because > integration that doesn’t recognize that situation may go very wrong. For > example, logical statements about a building feature that distinguish walls > and windows may appropriately be appropriately inconsistent with > statements about a wind obstacle where walls and windows are not > distinguished. Without identification of both the location that datasets > pertain to, “and” what recognized feature they describe, such errors will > be difficult or impossible to avoid. > > Josh > > > On Jan 25, 2016, at 8:06 AM, Frans Knibbe <frans.knibbe@geodan.nl> wrote: > > Hello Linda, > > For resolving Githubissue 208 <https://github.com/w3c/sdw/issues/208> it > would be good to try to find an example of a practical case in which > definitions of concepts like 'real world phenomenon' or 'spatial thing' > really matter. Then we would have something that can refute the hypothesis > that those definitions are not needed in the BP document. But so far I > don't see that in this use case. It looks to me that it is about trying to > combine data from different domain perspectives, but perhaps I am missing > something > > Three perspectives are described, a real-world perspective, a chart > perspective and a format perspective. In all cases it is about providing > data about something, an office building for example. Those data could be > combined in a single data set that gives a URI to the building and provides > data according to different domain models (vocabularies). Or the data could > be kept separate, in which appropriate semantics can be used to link the > different representations. But all perspectives are about data > representations, right? So in what sense does the real physical world ever > come in to play? > > Regards, > > Frans > > > > 2016-01-25 10:33 GMT+01:00 Linda van den Brink <l.vandenbrink@geonovum.nl> > : > >> Hi Frans, SDW WG members, >> >> >> >> People working in semantic modelling in the Dutch construction sector >> have been telling me about a requirement they have for a relationship that >> indicates one resource is a registration of another. I.e. one is the real >> world thing, the other is a digital registration of (properties of) that >> thing. Because we have an issue around this distinction between real world >> thing and representation of that thing ( >> https://github.com/w3c/sdw/issues/208 ), I asked them to write their use >> case down in more detail. >> >> >> >> We could merge this use case with >> https://www.w3.org/TR/sdw-ucr/#BuildingInformationManagementAndDataSharing >> >> >> >> The use case text as sent to me is below (thanks to Nic Roest and Sander >> Stolk of http://www.semmtech.com): >> >> >> Make different perspectives explicit for resources on the same (spatial) >> subject >> >> In civil engineering and asset management settings, interdisciplinary >> information exists alongside each other. Such information typically >> overlaps and complement each other. Think of design information (CAD), >> geospatial information (GIS), and information for systems engineering (SE). >> These are produced by different pieces of software, and adhere to different >> perspectives – although they are quite possibly on the same subject (e.g. a >> specific office building or road). >> >> Problems arise when combining information on a single subject from >> different perspectives, in an attempt to complement information from one >> with that of another. As such, terminology is needed to capture that >> resources may be about the same subject but follow different perspectives. >> To illustrate we will touch on three example perspectives on the same >> subject: an office building. >> >> 1. *Real-world perspective*. One way of describing the office >> building is to identify it directly with a URI and detail its properties. >> Ontologies specifically geared to capturing real-life objects in such a >> way, using a real-world perspective, are typically called object type >> libraries (or OTLs). >> >> 2. *Chart perspective*. Another way of describing the office >> building is to have a set of coordinates and describe what those >> coordinates on the map represent. In other words, the information is not >> about the office building itself but about coordinates that represent the >> building and how we should interpret those coordinates. In such a case, the >> building is captured in a charted representation. >> >> 3. *Format perspective*. A third way of describing the office >> building could be by having it arranged in a format of which the exact >> semantics is not yet made explicit in the Semantic Web, such as content >> arranged according to an XML structure. >> >> The aforementioned perspectives to capture information on the same office >> building are by no means exhaustive. What they exemplify is that vastly >> different perspectives of the world and its real-life objects exist. >> Resources that are on the same subject and are captured using the same >> perspective, or representation, can often be considered equal or identical. >> Attributes captured for the one can then be said to also hold for the >> other. Resources captured using different perspectives, however, cannot be >> deemed equals. The one resource is then, for example, a registration of the >> other. >> >> If the above differences in perspective are not identified and made >> explicit, an attempt at integrating information from different perspectives >> is likely to lead to false conclusions. For instance, that a tangible >> office building in the real world is also a vector of coordinates, and that >> it has a filled out table cell called *shape*. >> >> It is exactly such relations between resources, signalling differences in >> perspective (e.g. that one resource is a registration of another), that >> should be able to be captured using explicit and standardized properties. >> >> This problem is present in several projects in the construction domain >> where integration of data from different perspectives plays a role. An >> example is >> http://www.rws.nl/english/about-us/doing-business-with-rijkswaterstaat/v-con/index.aspx. >> However, data from these projects is not currently open. >> >> >> >> >> >> Linda >> >> >> > > >
Received on Tuesday, 26 January 2016 10:10:16 UTC