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optional property of Spatial Representation Type which is enumerated as Vector ,
Grid , Tex t Table , Tin , Stereo Model , and Video (CGDI 2014 ). In the proposed 3D
metadata, horizontal and vertical scales are among the suggested domain values of
the Definition property of the LoD GDS Content association class. So, in the pro-
posed 3D metadata, scale by itself (i.e. horizontal and vertical scales) is a special-
ized extension of scale in the CGDI Discovery Portal. But, if following the related
concepts as the reason for existence, scale in the proposed 3D metadata is also
defined as one of the measures which are regarded by LoD. The concept of LoD
in the proposed 3D metadata covers more than ten indicators of the geometric, the-
matic, graphical, and combined aspects of 3D data granularity.
An exhaustive set of conceptual comparisons demonstrates the added-value
of the proposed 3D metadata. However, such advantages should also be tested
positive for serving different application domains. This requires evaluating the
proposed 3D metadata regarding the domains of applications which seek 3D geo-
spatial models.
To do so, we are going to establish three simulated scenarios which necessitate
discovering 3D spatial datasets. These scenarios are inspired by variety of reasons
including our previous research and professional projects, the investigated applica-
tion domains, and the noticed interest and popularity. The scenarios are regarded
for seeking 3D datasets among the following themes:
• Scenario 1: 3D representation of building/urban energy consumption models
• Scenario 2: consistent above/under-ground 3D modeling
• Scenario 3: speciic 3D modeling environments
These scenarios intend to assess the similarities between the two metadata and
the differences (advantages) of our proposal. Therefore, the scenarios must not
be totally disjoint from the explicit metadata topics of CGDI Discovery Portal
(Table 1 ). The following steps summarize the manner that the scenarios are
exploited:
1. In each scenario, the need for collecting various types of 3D geospatial datasets
is identified according to the favoring demands;
2. One or a set of questions is generated to advocate the respective requests on
seeking 3D information in metadata;
3. Both metadata (i.e. the proposed 3D metadata and CGDI Discovery Portal
metadata) are analyzed based on the information they can provide to answer the
questions.
The analysis consider the conceptual and syntactic (i.e. classes, properties, data
types, enumerations) aspects of the compared schemas as mentioned in Delgado et
al. 2013 .
The following notes are going to explain and discuss each scenario separately
according to the three steps mentioned above: Step 1 is briefed in one or two para-
graphs followed by the questions from Step 2. The analyses regarding each ques-
tion (Step 3) are mentioned in separate tables that follow.
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