Shopping Cart

No products in the cart.

BSI PAS 182:2014

$41.10

Smart city concept model. Guide to establishing a model for data interoperability

Published By Publication Date Number of Pages
BSI 2014 64
Guaranteed Safe Checkout
Categories: ,

If you have any questions, feel free to reach out to our online customer service team by clicking on the bottom right corner. We’re here to assist you 24/7.
Email:[email protected]

This PAS describes, and gives guidance on, a smart city concept model (SCCM) that can provide the basis of interoperability between component systems of a smart city, by aligning the ontologies in use across different sectors. It includes:

  • concepts (e.g. ORGANIZATION, PLACE, COMMUNITY, ITEM, METRIC, SERVICE, RESOURCE); and

  • relationships between concepts (e.g. ORGANIZATION has RESOURCEs, EVENT at a PLACE).

The SCCM does not replace existing models where they exist, but, by mapping from a local model to a parent model, questions can be asked about data in a new and joined-up way.

This PAS is aimed at organizations that provide services to communities in cities, and manage the resulting data, as well as decision-makers and policy developers in cities.2)

The SCCM is relevant wherever many organizations provide services to many communities within a place.

This PAS does not cover the data standards that are relevant to each concept in the SCCM and does not attempt to list or recommend the sources of identifiers and categorizations that cities map to the SCCM.

The SCCM has been devised to communicate the meaning of data. It does not attempt to provide concepts to describe the metadata of a dataset, for example, validity and provenance of data.

This PAS covers semantic interoperability, that is, defining the meaning of data, particularly from many sources. This PAS does not cover other barriers to interoperability, some of which are described at 3.2.

PDF Catalog

PDF Pages PDF Title
9 Figure 1 Smart city levels of insight
13 Table 1 Relevance of PAS 181 guidance notes to PAS 182
14 Table 2 Other barriers to interoperability
15 Figure 2 Example of a directed graph
Figure 3 Example of a directed graph for a concept
16 Figure 4 Example of sub-concepts
Figure 5 Example of a group concept
17 Figure 6 Example of a dataset listing reported faults to lamp posts
19 Table 3 Alphabetical list of prime concepts
Table 4 Alphabetical list of group concepts
21 Figure 7 ITEMs view
22 Figure 8 COLLECTIONs view
23 Figure 9 EVENTs view
24 Figure 10 OBJECTIVEs view
25 Figure 11 Observing and responding view
26 Figure 12 SERVICEs view
27 Figure 13 CASEs view
28 Figure 14 PLANs view
29 Figure 15 RESOURCEs and DECISIONs view
30 Figure 16 ABSTRACT relationships
31 Figure 17 ACCOUNT relationships
32 Figure 18 AGENT relationships
33 Figure 19 AGREEMENT relationships
34 Figure 20 ASSUMPTION relationships
35 Figure 21 BUILDING relationships
36 Figure 22 CASE relationships
37 Figure 23 COLLECTION relationships
38 Figure 24 COMMUNITY relationships
39 Figure 25 DECISION relationships
40 Figure 26 EVENT relationships
41 Figure 27 FUNCTION relationships
42 Figure 28 ITEM relationships
43 Figure 29 METHOD relationships
44 Figure 30 METRIC relationships
45 Figure 31 OBJECT relationships
46 Figure 32 OBJECTIVE relationships
47 Figure 33 OBSERVATION relationships
48 Figure 34 ORGANIZATION relationships
49 Figure 35 PERSON relationships
50 Figure 36 PLACE relationships
51 Figure 37 PLAN relationships
52 Figure 38 RESOURCE relationships
53 Figure 39 RULE relationships
54 Figure 40 SERVICE relationships
55 Figure 41 STATE relationships
56 Figure 42 TARGET relationships
57 Figure A.1 UK rail stations data mapped to the SCCM
58 Figure A.2 Planning application data mapped to the SCCM
59 Table A.1 Mapping the health informatics concept model to the SCCM
Table B.1 List of relationships in the SCCM
BSI PAS 182:2014
$41.10