To address these issue, this paper describes a generic scientific data model (SDM)/framework for scientific data derived from (1) the common structure of scientific articles, (2) the needs of electronic notebooks to capture scientific research data and metadata, and (3) the clear need to organ...
The system allows managing a big data volume\nof data coming from a variety of sources considering both static and dynamic\ndata. These data are mapped to a smart-city ontology, called KM4City (Knowledge\nModel for City), and stored into an RDF-Store where they are available for\n...
VOAF voaf https://lov.linkeddata.es/vocommons/voaf/v2.3/ FOAF foaf http://xmlns.com/foaf/spec/ VANN vann https://vocab.org/vann/ Quantities, Unit, Dimensions and Types qudt http://qudt.org/2.1/schema/qudt Organisation Ontology Org https://www.w3.org/TR/vocab-org/ Time Ontology ...
equivalent_to = [pokeOntology.FlyingPokemon & pokeOntology.wingSpan.only(ConstrainedDatatype(float, min_exclusive = 300))] is_a = [pokeOntology.FlyingPokemon] Subclasses: Individuals: Class: pokeOntology.Skill equivalent_to = [OneOf([pokeOntology.ElectricShock, pokeOntology.ElectricField, pokeOnto...
The Dermoscopy Elements of Visuals Ontology (DEVO) contains 1047 classes, 47 object properties, and 16 data properties. It has a better semiotic score compared to similar ontologies of the same domain. Three human annotators also examined the consistency, complexity, and future application of the ...
Static vehicle attributes define the vehicle and are set in the core ontology #5 as datatype properties. Question is, if and which attributes are better to be modelled as explicit classes instead of properties. Any Opinion? danielwilms added the help wanted label Feb 10, 2021 danielwilms cha...
摘要: An ontology-based Agent semantic mining system model is proposed in the analysis of semantic Web and ontology demand. This system consists of user Agent, matching Agent, semantic middleware, reasoning Agent, inquiry Agent, semantic warehouse, and sem...关键词:...
Predictions are made using only data available as of April 2010, validated against the GO release of April 2020. We omit any predictions in which the aligned proteins had any known orthology or detectable sequence similarity. We plot precision vs. recall of predictions from global network alignment...
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GRAM: graph-based attention model for healthcare representation learning. Proceedings of the 23rd ACM SIGKDD international conference on knowledge discovery and data mining. ACM; 2017. p. 787–95. Chi L. Current condition and developing trend of electronic medical records. Electron Technol Softw ...