Matches in ScholarlyData for { ?s ?p ?o. }
- item-9 hasContent kavitha-srinivas.
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- 823 creator chuck-morris.
- 823 creator edward-benson.
- 823 creator eric-dorner.
- 823 creator james-ressler.
- 823 creator mike-dean.
- 823 type InProceedings.
- 823 label "Application of Ontology Translation".
- 823 sameAs 823.
- 823 abstract "An ontology provides a precise specification of the vocabulary used by a community of interest (COI). Multiple communities of interest may describe the same concept using the same or different terms. When such communities interact, ontology alignment and translation is required. This is typically a time consuming process. This paper describes Snoggle, an open source tool designed to ease development of ontology translation rules, and discusses its application to geospatial ontologies.".
- 823 hasAuthorList authorList.
- 823 hasTopic Application_software.
- 823 hasTopic Ontology_%28computer_science%29.
- 823 hasTopic Semantic_Web.
- 823 isPartOf proceedings.
- 823 title "Application of Ontology Translation".
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- item-1 hasContent james-ressler.
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- item-2 hasContent mike-dean.
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- item-3 hasContent edward-benson.
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- item-4 hasContent eric-dorner.
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- item-5 hasContent chuck-morris.
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- 837 creator adam-funk.
- 837 creator diana-maynard.
- 837 creator horacio-saggion.
- 837 creator kalina-bontcheva.
- 837 type InProceedings.
- 837 label "Ontology-based Information Extraction for Business Intelligence".
- 837 sameAs 837.
- 837 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.".
- 837 hasAuthorList authorList.
- 837 hasTopic Application_software.
- 837 hasTopic Finance.
- 837 hasTopic Ontology_%28computer_science%29.
- 837 hasTopic Semantic_Web.
- 837 hasTopic Tool.
- 837 isPartOf proceedings.
- 837 title "Ontology-based Information Extraction for Business Intelligence".
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- item-1 hasContent horacio-saggion.
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- item-2 hasContent kalina-bontcheva.
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- item-3 hasContent adam-funk.
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- item-4 hasContent diana-maynard.
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- 851 creator guotong-xie.
- 851 creator shengping-liu.
- 851 creator xiongzhi-zhou.
- 851 creator yang-yang.
- 851 creator yue-pan.
- 851 creator zhaoming-qiu.
- 851 type InProceedings.
- 851 label "EIAW: Towards a Business-friendly Data Warehouse Using Semantic Web Technologies".
- 851 sameAs 851.
- 851 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.".
- 851 hasAuthorList authorList.
- 851 hasTopic Application_software.
- 851 hasTopic Finance.
- 851 hasTopic Ontology_%28computer_science%29.
- 851 hasTopic Semantic_Web.
- 851 hasTopic Tool.
- 851 isPartOf proceedings.
- 851 title "EIAW: Towards a Business-friendly Data Warehouse Using Semantic Web Technologies".
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