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Ontology-based information publishing, retrieval, reuse, and integration have become popular research topics to address the challenges involved in exchanging data between heterogeneous sources. However, in most cases ontologies are still developed in a centralized top-down manner by a few knowledge engineers. Consequently, the role that developers play in conceptualizing a domain such as the geosciences is disproportional compared with the role of domain experts and especially potential end-users. These and other drawbacks have stimulated the creation of new methodologies focusing around collaboration. Based on a review of existing approaches, this article presents a two-step methodology and implementation to foster collaborative ontology engineering in the geosciences. Our approach consists of the development of a minimalistic core ontology acting as a catalyst and the creation of a virtual collaborative development cycle. Both methodology and prototypical implementation have been tested in the context of the EU-funded ForeStClim project which addresses environmental protection with respect to forests and climate change.

Using county-level employment data, we analyse how the spatial concentration of jobs has changed in China's Pearl River Delta (PRD) between 1990 and 2005. Despite unique Chinese policies that exhibit strong influence on the economic landscape, we detect key parallels with the patterns found in classic theories and empirical studies in Western contexts. Total employment has become increasingly concentrated. This aggregate picture hides important sectoral variations though: manufacturing employment has spread out to suburban areas; producer service jobs have increasingly concentrated in metropolitan centres; and consumer and public services have clustered in areas with high aggregate population. We argue that the major forces that are shaping the economic landscape in PRD are the market institutions and development path-dependency. Under the circumstances of an increasingly liberalised market and decentralised government, policy now may function as a dynamic tool to magnify local spatial-economic and historical advantages and to balance uneven regional development.