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- 7 hasAuthorList authorList.
- 7 isPartOf proceedings.
- 7 keyword "cognition".
- 7 keyword "information extraction".
- 7 keyword "representation".
- 7 keyword "semantics".
- 7 keyword "similarity".
- 7 title "Human Similarity Theories for the Semantic Web".
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- item-1 hasContent jose-quesada.
- 10 creator hamish-cunningham.
- 10 creator horacio-saggion.
- 10 creator milena-yankova.
- 10 type InProceedings.
- 10 label "Adopting Ontologies for Multisource Identity Resolution".
- 10 sameAs 10.
- 10 abstract "dentity resolution aims at identifying the newly presented facts and linking them to their previous mentions. Our main hypothesis is that variations of one and the same fact are filterable and even increase the correctness of fact extraction. Our approach to the identity problem has been implemented as Identity Resolution Framework (IdRF). The framework provides a general solution identifying known and new facts in specific domains, and it can be used in different applications for processing of different types of entity. It uses an ontology for internal and resulting knowledge representational formalism. The ontology not only contains the representation of the domain, but also known entities and properties. Apart from extracting information from textual sources, we also exploit structured information available in databases mapping the database schema to the ontology and populating the ontology with existing knowledge. Our main goal is not to advocate one criterion among the others, but to introduce widely applicable solution of the identity resolution problem, we present a set of customizable criteria as well as a mechanism new criteria to be added. We have carried two series of experiments in two different business intelligence domains - company profiling and recruitment - achieving rather encouraging result.".
- 10 hasAuthorList authorList.
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- 10 keyword "Co-reference".
- 10 keyword "Consolidation".
- 10 keyword "Identity Resolution".
- 10 keyword "Multiple Sources".
- 10 keyword "Ontologies".
- 10 keyword "Ontology-based Information Extaction".
- 10 keyword "Semantics".
- 10 title "Adopting Ontologies for Multisource Identity Resolution".
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- item-1 hasContent milena-yankova.
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- 11 creator denilson-sell.
- 11 creator dhiogo-cardoso-silva.
- 11 creator fabiano-duarte-beppler.
- 11 creator fernando-benedet-ghisi.
- 11 creator jose-leomar-todesco.
- 11 creator marcio-napoli.
- 11 creator roberto-pacheco.
- 11 type InProceedings.
- 11 label "SBI: A Semantic Framework to Support Analytical Tools".
- 11 sameAs 11.
- 11 abstract "Despite the importance of analytical tools to organizations, they still lack the inference power needed to solve the requests of decision makers in a flexible and smarter way. We present a framework called SBI - Semantic Business Intelligence - in which we apply ontologies on the description of business rules and concepts in order to support semantic-analytical functionalities that extend traditional OLAP operations. Such approach enables developers to customize BI solutions according to organization-specific analytical requirements and allows developers to align BI solutions to the latest business analytic requirements. We present how semantic inference is supported using batch and on-the-fly based strategies. In addition, we show how such semantic infrastructure makes the access to heterogeneous data sources transparent. Finally, we illustrate the benefits of our approach through Extracta, an analytical tool that relies on SBI ontologies and modules. Extracta enables an easy access to information and provides novel exploratory funcionalites based on semantics towards faster and smarter decisions.".
- 11 hasAuthorList authorList.
- 11 isPartOf proceedings.
- 11 keyword "Business intelligence".
- 11 keyword "Heterogeneous Data Sources".
- 11 keyword "OLAP".
- 11 keyword "Ontology".
- 11 title "SBI: A Semantic Framework to Support Analytical Tools".
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