SDI Convergence - Nederlandse Commissie voor Geodesie - KNAW
SDI Convergence - Nederlandse Commissie voor Geodesie - KNAW
SDI Convergence - Nederlandse Commissie voor Geodesie - KNAW
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(Simple Knowledge Organization System) vocabulary. These queries can be specified<br />
further and can become complex.<br />
Figure 4 shows the architecture of the interaction between the representation portal<br />
and the Annotation engine. The representation portal containing Legal Atlas gets its<br />
information by sending the appropriate queries to the SPARQL-endpoint. The<br />
SPARQL-endpoint is an access point to the OpenRDF Sesame server. The OWLIM is<br />
an inference layer within the OpenRDF Sesame server. This is filled with the Cross<br />
Border Deliberation models and the domain models and the content that is part of the<br />
representation portal.<br />
Figure 4: Architecture of the annotation engine of a map based conflict resolution portal.<br />
The portal also provides an interface for adding data. It adds RDF/OWL to the models.<br />
The OWLIM module then processes these and the result is propagated to the Feed<br />
Portal by the same SPARQL-endpoint.<br />
The ‘seeking area’ functionality of Legal Atlas III is about solving conflict situations.<br />
Figure 5 describes the architecture. A description of the plan in the middle top box is<br />
combined with the normative descriptions in the regulations. Both the regulations and<br />
the plans are about SKOS vocabulary and regions, and it is possible to trigger particular<br />
situations that are allowed or disallowed. The OWL models do not become inconsistent,<br />
but the allowed and disallowed situations are also OWL classes. It is now possible<br />
to represent the disallowed situations and their regions as conflicts on the map (Hoekstra<br />
et al., 2009).<br />
7. EARLY RESULTS OF LEGAL ATLAS III<br />
The last and third set of structured interviews focused on Gibson’s (Gibson, 1979) affordance<br />
needs in the INSPIRE (EC-INSPIRE, 2003) production chain. 30 different experts<br />
were interviewed in this way. Figure 6 shows one of the early results of our research.<br />
The most ergonomical lay-out for a use case would be, that the user drags the<br />
cursor (the black circle in Figure 6a) and the surrounding area highlights problem areas<br />
(striped circle, in this case a 5 000 ha. swamp that is envisioned to be the ecological<br />
motor for the lake) and areas up for negotiation (see oval in Figure 6b). When the cur-<br />
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