Geographical information retrieval with ontologies of place

Geographical context is required of many information retrieval tasks in which the target of the search may be documents, images or records which are referenced to geographical space only by means of place names. Often there may be an imprecise match between the query name and the names associated with candidate sources of information. There is a need therefore for geographical information retrieval facilities that can rank the relevance of candidate information with respect to geographical closeness of place as well as semantic closeness with respect to the information of interest. Here we present an ontology of place that combines limited coordinate data with semantic and qualitative spatial relationships between places. This parsimonious model of geographical place supports maintenance of knowledge of place names that relate to extensive regions of the Earth at multiple levels of granularity. The ontology has been implemented with a semantic modelling system linking non-spatial conceptual hierarchies with the place ontology. An hierarchical spatial distance measure is combined with Euclidean distance between place centroids to create a hybrid spatial distance measure. This is integrated with thematic distance, based on classification semantics, to create an integrated semantic closeness measure that can be used for a relevance ranking of retrieved objects

The treatment of non-functional requirements in MIKE

... this paper it is shown how non-functional requirements are modelled in MIKE, an approach to the development of knowledge-based systems. A semi-formal hypermedia-based model is used to describe the results of the elicitation and interpretation of non-functional requirements and their relationships. Non-functional requirements are the driving force behind the decisions taken in the design phase of MIKE. The impact of non-functional requirements on design decisions and interdependencies between design decisions are explicitly recorded in an additional model in MIKE, thus resulting in a rich documentation of the rationale of design decisions and also providing an important contribution to the traceability of these requirement