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- 795 creator john-domingue.
- 795 creator knud-moeller.
- 795 creator siegfried-handschuh.
- 795 creator tom-heath.
- 795 type InProceedings.
- 795 label "Recipes for Semantic Web Dog Food - The ESWC and ISWC Metadata Projects".
- 795 sameAs 795.
- 795 abstract "Semantic Web conferences such as ESWC and ISWC offer prime opportunities to test and showcase semantic technologies. Conference metadata about people, papers and talks is diverse in nature and neither too small to be uninteresting or too big to be unmanageable. Many metadata-related challenges that may arise in the Semantic Web at large are also present here. Metadata must be generated from sources which are often unstructured and hard to process, and may originate from many different players, therefore suitable workflows must be established. Moreover, the generated metadata must use appropriate formats and vocabularies, and be served in a way that is consistent with the principles of linked data. This paper reports on the metadata efforts from ESWC and ISWC, identifies specific issues and barriers encountered during the projects, and discusses how these were approached. Recommendations are made as to how these may be addressed in the future, and we discuss how these solutions may generalize to metadata production for the Semantic Web at large.".
- 795 hasAuthorList authorList.
- 795 hasTopic Application_software.
- 795 hasTopic Ontology_%28computer_science%29.
- 795 hasTopic Semantic_Web.
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- 795 title "Recipes for Semantic Web Dog Food - The ESWC and ISWC Metadata Projects".
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- 809 creator aaron-kershenbaum.
- 809 creator achille-fokoue.
- 809 creator aditya-kalyanpur.
- 809 creator chintan-patel.
- 809 creator edith-schonberg.
- 809 creator james-cimino.
- 809 creator julian-dolby.
- 809 creator kavitha-srinivas.
- 809 creator li-ma.
- 809 type InProceedings.
- 809 label "Matching Patient Records to Clinical Trials Using Ontologies".
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- 809 abstract "This paper describes a large case study that explores the applicability of ontology reasoning to problems in the medical domain. We investigate whether it is possible to use such reasoning to automate common clinical tasks that are currently labor intensive and error prone, and focus our case study on improving cohort selection for clinical trials. An obstacle to automating such clinical tasks is the need to bridge the semantic gulf between raw patient data, such as laboratory tests or specific medications, and the way a clinician interprets this data. Our key insight is that matching patients to clinical trials can be formulated as a problem of semantic retrieval. We describe the technical challenges to building a realistic case study, which include problems related to scalability, the integration of large ontologies, and dealing with noisy, inconsistent data. Our solution is based on the SNOMED CT ontology, and scales to one year of patient records (approx. 240,000 patients).".
- 809 hasAuthorList authorList.
- 809 hasTopic Health.
- 809 hasTopic Ontology_%28computer_science%29.
- 809 hasTopic Pharmaceuticals.
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- 809 title "Matching Patient Records to Clinical Trials Using Ontologies".
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