%0 Conference Paper %1 INSCI2016-Multisensor %A Simeonov, Boyan %A Alexiev, Vladimir %A Liparas, Dimitris %A Puigbo, Marti %A Vrochidis, Stefanos %A Jamin, Emmanuel %A Kompatsiaris, Ioannis %B 3rd International Conference on Internet Science (INSCI 2016) %C Florence, Italy %D 2016 %K CUBE Decision_support Heterogeneous_web_resources Indicators SME_internationalisation SPARQL Semantic_integration statistics_ontologies %R 10.1007/978-3-319-45982-0_18 %T Semantic Integration of Web Data for International Investment Decision Support %U https://zenodo.org/record/571202 %X Given the current economic situation and the financial crisis in many European countries, Small and Medium Enterprises (SMEs) have found interna- tionalisation and exportation of their products as the main way out of this crisis. In this paper, we provide a decision support system that semantically aggregates information from many heterogeneous web resources and provides guidance to SMEs for their potential investments. The main contributions of this paper are the introduction of SME internationalisation indicators that can be considered for such decisions, as well as the novel decision support system for SME inter- nationalisation based on inference over semantically integrated data from heterogeneous web resources. The system is evaluated by SME experts in realistic scenarios in the section of dairy products.

@inproceedings{INSCI2016-Multisensor, abstract = {Given the current economic situation and the financial crisis in many European countries, Small and Medium Enterprises (SMEs) have found interna- tionalisation and exportation of their products as the main way out of this crisis. In this paper, we provide a decision support system that semantically aggregates information from many heterogeneous web resources and provides guidance to SMEs for their potential investments. The main contributions of this paper are the introduction of SME internationalisation indicators that can be considered for such decisions, as well as the novel decision support system for SME inter- nationalisation based on inference over semantically integrated data from heterogeneous web resources. The system is evaluated by SME experts in realistic scenarios in the section of dairy products.}, added-at = {2021-08-25T16:07:36.000+0200}, address = {Florence, Italy}, author = {Simeonov, Boyan and Alexiev, Vladimir and Liparas, Dimitris and Puigbo, Marti and Vrochidis, Stefanos and Jamin, Emmanuel and Kompatsiaris, Ioannis}, biburl = {https://www.bibsonomy.org/bibtex/2b5ff423dcd2d81bb565169b451e6972e/valexiev}, booktitle = {3rd International Conference on Internet Science (INSCI 2016)}, doi = {10.1007/978-3-319-45982-0_18}, interhash = {2dc16c9d105c56f571b4411e0163390b}, intrahash = {b5ff423dcd2d81bb565169b451e6972e}, keywords = {CUBE Decision_support Heterogeneous_web_resources Indicators SME_internationalisation SPARQL Semantic_integration statistics_ontologies}, month = sep, session = {13 Sep 14:20: Smart Cities and Data Analysis Issues}, timestamp = {2021-08-25T16:07:36.000+0200}, title = {{Semantic Integration of Web Data for International Investment Decision Support}}, url = {https://zenodo.org/record/571202}, url_preprint = {http://rawgit2.com/VladimirAlexiev/my/master/pubs/INSCI2016.pdf}, year = 2016 }