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- 407 creator guo-qiang-zhang.
- 407 creator olivier-bodenreider.
- 407 type InProceedings.
- 407 label "Using SPARQL to Test for Lattices: application to quality assurance in biomedical ontologies".
- 407 sameAs 407.
- 407 abstract "We present a scalable, SPARQL-based computational pipeline for testing the lattice-theoretic properties of partial orders represented as RDF triples. The use case for this work is quality assurance in biomedical ontologies, one desirable property of which is conformance to lattice structures. At the core of our pipeline is the algorithm called NuMi, for detecting the Number of Minimal upper bounds of any pair of elements in a given finite partial order. Our technical contribution is the coding of NuMi completely in SPARQL. To show its scalability, we applied NuMi to the entirety of SNOMED CT, the largest clinical ontology (over 300,000 conepts). Our experimental results have been groundbreaking: for the first time, all non-lattice pairs in SNOMED CT have been identified exhaustively from 34 million candidate pairs using over 2.5 billion queries issued to Virtuoso. The percentage of non-lattice pairs ranges from 0 to 1.66 among the 19 SNOMED CT hierarchies. These non-lattice pairs represent target areas for focused curation by domain experts. RDF, SPARQL and related tooling provide an efficient platform for implementing lattice algorithms on large data structures.".
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- 407 keyword "semantic web".
- 407 title "Using SPARQL to Test for Lattices: application to quality assurance in biomedical ontologies".
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- 410 creator alain-barrat.
- 410 creator ciro-cattuto.
- 410 creator harith-alani.
- 410 creator martin-szomszor.
- 410 creator wouter-van-den-broeck.
- 410 type InProceedings.
- 410 label "Social dynamics in conferences: analyses of data from the Live Social Semantics application".
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- 410 abstract "Popularity and spread of online social networking in recent years has given a great momentum to the study of dynamics and patterns of social interactions. However, these studies have often been confined to the online world, neglecting its interdependencies with the offline world. This is mainly due to the lack of real data that spans across this divide. The Live Social Semantics application is a novel platform that dissolves this divide, by collecting and integrating data about people from (a) their online social networks and tagging activities from popular social networking sites, (b) their publications and co-authorship networks from semantic repositories, and (c) their real-world face-to-face contacts with other attendees collected via a network of wearable active sensors. This paper investigates the data collected by this application during its deployment at three major conferences, where it was used by more than 400 people. Our analyses show the robustness of the patterns of contacts at various conferences, and the influence of various personal properties (e.g. seniority, conference attendance) on social networking patterns.".
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- 413 creator christopher-g-chute.
- 413 creator cui-tao.
- 413 creator deepak-k-sharma.
- 413 creator guergana-k-savova.
- 413 creator harold-r-solbrig.
- 413 creator wei-qi-wei.
- 413 type InProceedings.
- 413 label "Time-Oriented Question Answering from Clinical Narratives Using Semantic-Web Techniques".
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- 413 abstract "The ability to answer temporal-oriented questions based on clinical narratives is essential to clinical research. The temporal dimension in medical data analysis enables clinical researches on many areas, such as, disease progress, individualized treatment, and decision support. The Semantic Web provides a suitable environment to represent the temporal dimension of the clinical data and reason about them. In this paper, we introduce a Semantic-Web based framework, which provides an API for querying temporal information from clinical narratives. The framework is centered by an OWL ontology called CNTRO (Clinical Narrative Temporal Relation Ontology), and contains three major components: time normalizer, SWRL based reasoner, and OWL-DL based reasoner. We also discuss how we adopted these three components in the clinical domain, their limitations, as well as extensions that we found necessary or desirable to archive the purposes of querying time-oriented data from real-world clinical narratives.".
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- 413 title "Time-Oriented Question Answering from Clinical Narratives Using Semantic-Web Techniques".
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