http://www.bibsonomy.org/burst/user/iswc2007/financeBibSonomy BuRST Feed for /user/iswc2007/finance2008-08-21T05:33:26+02:00http://www.bibsonomy.org/bibtex/2837c26926a5e2c025e16c8e5c36af752/iswc2007iswc20072007-11-07T19:13:58+01:00information tool extraction ontology intelligence business ontology_(computer_science) semantic_web 2007 application_software in_use_3 finance iswc <span style="color:#555555;">Horacio <a href="http://www.bibsonomy.org/author/Saggion">Saggion</a> and Kalina <a href="http://www.bibsonomy.org/author/Bontcheva">Bontcheva</a> and Adam <a href="http://www.bibsonomy.org/author/Funk">Funk</a> and Diana <a href="http://www.bibsonomy.org/author/Maynard">Maynard</a> </span><em>Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea, </em><em>volume4825ofLNCS, </em><em>page837--850. </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em><em>November2007. </em>Wed Nov 07 19:13:58 CET 2007Berlin, HeidelbergProceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Koreahttp://data.semanticweb.org/conference/iswc-aswc/2007/proceedingsNovember837--850LNCSOntology-based Information Extraction for Business Intelligence48252007information tool extraction ontology intelligence business ontology_(computer_science) semantic_web 2007 application_software in_use_3 finance iswc Business Intelligence (BI) requires the acquisition and aggregation of key pieces of knowledge from multiple sources in order to provide valuable information to customers or feed statistical BI models and tools. The massive amount of information available to business analysts makes information extraction and other natural language processing tools key enablers for the acquisition and use of that semantic information. We describe the application of ontology-based extraction and merging in the context of a practical e-business application for the EU MUSING Project where the goal is to gather international company intelligence and country/region information. The results of our experiments so far are very promising and we are now in the process of bulding a complete end-to-end solution.http://www.bibsonomy.org/bibtex/246782dd021c8daeb53589155d858981a/iswc2007iswc20072007-11-07T19:13:58+01:00ontology_(computer_science) semantic_web semantic tool datum in_use_1 using 2007 iswc application_software web technology finance warehouse <span style="color:#555555;">Guotong <a href="http://www.bibsonomy.org/author/Xie">Xie</a> and Yang <a href="http://www.bibsonomy.org/author/Yang">Yang</a> and Shengping <a href="http://www.bibsonomy.org/author/Liu">Liu</a> and Zhaoming <a href="http://www.bibsonomy.org/author/Qiu">Qiu</a> and Yue <a href="http://www.bibsonomy.org/author/Pan">Pan</a> and Xiongzhi <a href="http://www.bibsonomy.org/author/Zhou">Zhou</a> </span><em>Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea, </em><em>volume4825ofLNCS, </em><em>page851--904. </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em><em>November2007. </em>Wed Nov 07 19:13:58 CET 2007Berlin, HeidelbergProceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Koreahttp://data.semanticweb.org/conference/iswc-aswc/2007/proceedingsNovember851--904LNCSEIAW: Towards a Business-friendly Data Warehouse Using Semantic Web Technologies48252007ontology_(computer_science) semantic_web semantic tool datum in_use_1 using 2007 iswc application_software web technology finance warehouse Data warehouse is now widely used in business analysis and decision making processes. To adapt the rapidly changing business environment, we develop a tool to make data warehouses more business-friendly by using Semantic Web technologies. The main idea is to make business semantics explicit by uniformly representing the business metadata (i.e. conceptual enterprise data model and multidimensional model) with an extended OWL language. Then a mapping from the business metadata to the schema of the data warehouse is built. When an analysis request is raised, a customized data mart with data populated from the data warehouse can be automatically generated with the help of this built-in knowledge. This tool, called Enterprise Information Asset Workbench (EIAW), is deployed at the Taikang Life Insurance Company, one of the top five insurance companies of China. User feedback shows that OWL provides an excellent basis for the representation of business semantics in data warehouse, but many necessary extensions are also needed in the real application. The user also deemed this tool very helpful because of its flexibility and speeding up data mart deployment in face of business changes.