Cross-language semantic matching for discovering links to e-gov services in the LOD cloud

The large diffusion of e-gov initiatives is increasing the at-tention of public administrations towards the Open Data initiative. Theadoption of open data in the e-gov domain produces different advantagesin terms of more transparent government, development of better publicservices, economic growth and social value. However, the process of dataopening should adopt standards and open formats. Only in this way itis possible to share experiences with other service providers, to exploitbest practices from other cities or countries, and to be easily connectedto the Linked Open Data (LOD) cloud.In this paper we present CroSeR (Cross-language Service Retriever), atool able to match and retrieve cross-language e-gov services stored inthe LOD cloud. The main goal of this work is to help public adminis-trations to connect their e-gov services to services, provided by otheradministrations, already connected to the LOD cloud. We adopted aWikipedia-based semantic representation in order to overcome the prob-lems related to match really short textual descriptions associated to theservices. A preliminary evaluation on an open catalog of e-gov servicesshowed that the adopted techniques are promising and are more effectivethan techniques based only on keyword representation.