Matches in ScholarlyData for { ?s ?p ?o. }
- paper-06 abstract "This paper presents an association discovery framework for proteins based on semantic annotations from biomedical literature. An automatic ontology-based annotation method is used to create a semantic protein annotation knowledge base. A semantic reasoning service enables realisation reasoning on original annotations to infer more accurate associations and executes semantic query transformation. A case study on protein-disease association discovery on a real-world colorectal cancer dataset is presented.".
- paper-06 hasAuthorList authorList.
- paper-06 isPartOf poster-demo-proceedings.
- paper-06 title "A Protein Annotation Framework Empowered with Semantic Reasoning".
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- paper-07 type InProceedings.
- paper-07 label "Hunting for Inconsistencies in Multilingual DBpedia with QAKiS".
- paper-07 sameAs paper-07.
- paper-07 abstract "QAKiS, a system for open domain Question Answering over linked data, allows to query DBpedia multilingual chapters with natural language questions. But since such chapters can contain different information w.r.t. the English version (e.g. more specificity on certain topics, or fill information gaps), i) different results can be obtained for the same query, and ii) the combination of these query results may lead to inconsistent information about the same topic. To reconcile information obtainedby distributed SPARQL endpoints, an argumentation-based module is integrated into QAKiS to reason over inconsistent information sets, and to provide a unique and motivated answer to the user.".
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- paper-07 title "Hunting for Inconsistencies in Multilingual DBpedia with QAKiS".
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- item-1 hasContent elena-cabrio.
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- item-3 hasContent serena-villata.
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- paper-08 type InProceedings.
- paper-08 label "Demo: Swip, a Semantic Web Interface using Patterns".
- paper-08 sameAs paper-08.
- paper-08 abstract "Our purpose is to provide end-users a means to query ontology based knowledge bases using natural language queries and thus hide the complexity of formulating a query expressed in a graph query language such as SPARQL. The main originality of our approach lies in the use of query patterns. Our contribution is materialized in a system named SWIP, standing for Semantic Web Interface Using Patterns. The demo will present use cases of this system.".
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- paper-08 isPartOf poster-demo-proceedings.
- paper-08 title "Demo: Swip, a Semantic Web Interface using Patterns".
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- item-1 hasContent camille-pradel.
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- item-2 hasContent ollivier-haemmerle.
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- item-3 hasContent nathalie-hernandez.
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- paper-09 type InProceedings.
- paper-09 label "Denoting Data in the Grounded Annotation Framework".
- paper-09 sameAs paper-09.
- paper-09 abstract "Semantic web applications are integrating data from more and more different types of sources about events. However, most data annotation frameworks do not translate well to semantic web. We present the grounded annotation framework (GAF), a two-layered framework that aims to build a bridge between mentions of events in a data source such as a text document and their formal representation as instance}. By choosing a two-layered approach, neither the mention layer, nor the semantic layer needs to compromise on what can be represented. We demonstrate the strengths of GAF in flexibility and reasoning through a use case on earthquakes in Southeast Asia.".
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- paper-09 title "Denoting Data in the Grounded Annotation Framework".
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