@inproceedings{Saggion/2007/Ontology-based,
        title = {Ontology-based Information Extraction for Business Intelligence},
        address = {Berlin, Heidelberg},
        author = {Horacio Saggion and Kalina Bontcheva and Adam Funk and Diana Maynard},
        booktitle = {Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea},
        crossref = {http://data.semanticweb.org/conference/iswc-aswc/2007/proceedings},
        editor = {Karl Aberer and Key-Sun Choi and Natasha Noy and Dean Allemang and Kyung-Il Lee and Lyndon J B Nixon and Jennifer Golbeck and Peter Mika and Diana Maynard and Guus Schreiber and Philippe Cudré-Mauroux},
        month = {November},
        pages = {837--850},
        publisher = {Springer Verlag},
        series = {LNCS},
        volume = 4825,
        year = 2007,
        url = {http://iswc2007.semanticweb.org/papers/837.pdf},
        abstract = {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.},
	biburl = {http://www.bibsonomy.org/bibtex/2837c26926a5e2c025e16c8e5c36af752/iswc2007},
	keywords = {information 2007 tool extraction ontology business in_use_3 iswc ontology_(computer_science) semantic_web application_software finance intelligence}
}

@inproceedings{Xie/2007/EIAW:,
        title = {EIAW: Towards a Business-friendly Data Warehouse Using Semantic Web Technologies},
        address = {Berlin, Heidelberg},
        author = {Guotong Xie and Yang Yang and Shengping Liu and Zhaoming Qiu and Yue Pan and Xiongzhi Zhou},
        booktitle = {Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea},
        crossref = {http://data.semanticweb.org/conference/iswc-aswc/2007/proceedings},
        editor = {Karl Aberer and Key-Sun Choi and Natasha Noy and Dean Allemang and Kyung-Il Lee and Lyndon J B Nixon and Jennifer Golbeck and Peter Mika and Diana Maynard and Guus Schreiber and Philippe Cudré-Mauroux},
        month = {November},
        pages = {851--904},
        publisher = {Springer Verlag},
        series = {LNCS},
        volume = 4825,
        year = 2007,
        url = {http://iswc2007.semanticweb.org/papers/851.pdf},
        abstract = {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.},
	biburl = {http://www.bibsonomy.org/bibtex/246782dd021c8daeb53589155d858981a/iswc2007},
	keywords = {using 2007 technology tool semantic web datum warehouse iswc ontology_(computer_science) in_use_1 semantic_web application_software finance}
}