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Matches in ScholarlyData for { ?s ?p ?o. }

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• item-1 hasContent thibaut-tiberghien.
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• item-2 hasContent mounir-mokhtari.
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• item-3 hasContent hamdi-aloulou.
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• item-4 hasContent jit-biswas.
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• paper-27 type InProceedings.
• paper-27 label "Semantic similarity-driven decision support in the skeletal dysplasia domain".
• paper-27 sameAs paper-27.
• paper-27 abstract "Biomedical ontologies have become a mainstream topic in medical research. They represent important sources of evolved knowledge that may be automatically integrated in decision support methods. Grounding clinical and radiographic findings in concepts defined by a biomedical ontology, e.g., the Human Phenotype Ontology, enables us to compute semantic similarity between them. In this paper, we focus on using such similarity measures to predict disorders on undiagnosed patient cases in the bone dysplasia domain. Different methods for computing the semantic similarity have been implemented. All methods have been evaluated based on their support in achieving a higher prediction accuracy. The outcome of this research enables us to understand the feasibility of developing decision support methods based on ontology-driven semantic similarity in the skeletal dysplasia domain.".
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• paper-27 title "Semantic similarity-driven decision support in the skeletal dysplasia domain".
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• item-1 hasContent razan-paul.
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• item-2 hasContent tudor-groza.
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• item-3 hasContent andreas-zankl.
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• item-4 hasContent jane-hunter.
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• paper-28 type InProceedings.
• paper-28 label "Experiences with modeling composite phenotypes in the SKELETOME project".
• paper-28 sameAs paper-28.
• paper-28 abstract "Semantic annotation of patient data in the skeletal dysplasia domain (e.g., clinical summaries) is a challenging process due to the structural and lexical differences existing between the terms used to describe radiographic findings. In this paper we propose an ontology aimed at representing the intrinsic structure of such radiographic findings in a standard manner, in order to bridge the different lexical variations of the actual terms. Furthermore, we describe and evaluate an algorithm capable of mapping concepts of this ontology to exact or broader terms in the main phenotype ontology used in the bone dysplasia domain.".
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• paper-28 isPartOf proceedings-1.
• paper-28 title "Experiences with modeling composite phenotypes in the SKELETOME project".
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• item-1 hasContent tudor-groza.
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• item-2 hasContent andreas-zankl.
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• item-3 type ListItem.
• item-3 hasContent jane-hunter.
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• paper-29 type InProceedings.
• paper-29 label "Query Driven Hypothesis Generation for Answering Queries over NLP Graphs".
• paper-29 sameAs paper-29.
• paper-29 abstract "It has become common to use RDF to store the results of Natural Language Processing (NLP) as a graph of the entities mentioned in the text with the relationships mentioned in the text as links between them. These NLP graphs can be measured with Precision and Recall against a ground truth graph representing what the documents actually say. When asking conjunctive queries on NLP graphs, the Recall of the query is expected to be roughly the product of the Recall of the relations in each conjunct. Since Recall is typically less than one, conjunctive query Recall on NLP graphs degrades geometrically with the number of conjuncts. We present an approach to address this Recall problem by hypothesizing links in the graph that would improve query Recall, and then attempting to find more evidence to support them. Using this approach, we confirm that in the context of answering queries over NLP graphs, we can use lower confidence results from NLP components if they complete a query result.".
• paper-29 hasAuthorList authorList.
• paper-29 isPartOf proceedings-1.
• paper-29 title "Query Driven Hypothesis Generation for Answering Queries over NLP Graphs".
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• item-1 hasContent chris-welty.
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• item-2 hasContent ken-barker.
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• item-3 type ListItem.
• item-3 hasContent lora-aroyo.
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• item-4 type ListItem.
• item-4 hasContent shilpa-arora.
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• paper-30 type InProceedings.
• paper-30 label "Trentino government linked open geo-data: a case study".
• paper-30 sameAs paper-30.
• paper-30 abstract "Our work is settled in the context of the public administration domain, where data can come from different entities, can be produced, stored and delivered in different formats and can have different levels of quality. Hence, such a heterogeneity has to be addressed, while performing various data integration tasks. We report our experimental work on publishing some government linked open geo-metadata and geo-data of the Italian Trentino region. Specifically, we illustrate how 161 core geographic datasets were released by leveraging on the geo-catalogue application within the existing geo-portal. We discuss the lessons we learned from deploying and using the application as well as from the released datasets.".

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