35 Matching Annotations
  1. Aug 2022
  2. Jun 2022
    1. SkoHub supports a novel approach for finding content on the web. The general idea is to extend the scope of Knowledge Organization Systems (KOS) to also act as communication hubs for publishers and information seekers. In effect, SkoHub allows to follow specific subjects in order to be notified when new content about that subject is published.
  3. May 2022
    1. ```sparql PREFIX rdf: http://www.w3.org/1999/02/22-rdf-syntax-ns# PREFIX skos: http://www.w3.org/2004/02/skos/core# PREFIX schema: http://schema.org/ prefix owl: http://www.w3.org/2002/07/owl# prefix rdfs: http://www.w3.org/2000/01/rdf-schema#

      CONSTRUCT { http://schema.org/ a skos:ConceptScheme ; skos:hasTopConcept schema:Thing . ?child a skos:Concept ; skos:broaderTransitive ?parent ; skos:broader ?ancestors ; skos:prefLabel ?label ; skos:definition ?desc ; skos:inScheme ?ext . ?parent skos:narrowerTransitive ?child . ?ancestors skos:narrower ?child .<br /> } WHERE { ?child rdfs:subClassOf ?parent . ?child rdfs:subClassOf+ ?ancestors . OPTIONAL { ?child rdfs:label ?label } OPTIONAL { ?child rdfs:comment ?desc } OPTIONAL { ?child schema:isPartOf ?ext } } ```

    1. bash $ curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-0-387-89976-3_10' { "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", "about": [ { "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", "name": "Information and Computing Sciences", "type": "DefinedTerm" }, { "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0806", "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", "name": "Information Systems", "type": "DefinedTerm" } ], "author": [ { "affiliation": { "alternateName": "Counseling, Educational, Psychology, and Special Education Department, Michigan State University, 461 Erickson Hall, 48824-1034, East Lansing, MI, USA", "id": "http://www.grid.ac/institutes/grid.17088.36", "name": [ "Counseling, Educational, Psychology, and Special Education Department, Michigan State University, 461 Erickson Hall, 48824-1034, East Lansing, MI, USA" ], "type": "Organization" }, "familyName": "Reckase", "givenName": "Mark D.", "id": "sg:person.01166264366.27", "sameAs": [ "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01166264366.27" ], "type": "Person" } ], "datePublished": "2009-05-22", "datePublishedReg": "2009-05-22", "description": "Computerized adaptive testing (CAT) is a methodology for constructing a test, administering it to an examinee, and scoring the test using interactive computer technology. This methodology has a history that is as long as that of interactive computing. An early summary of CAT methods is given in Weiss (1974). A detailed description of the development of an operational application for the Armed Services Vocational Aptitude Battery is given in (Sands 1997). There are also several books available that describe the basic components of CAT procedures (Wainer, Dorans, Flaugher, Green, Mislevy, Steinberg and Thissen 1990; Parshall, Spray and Davey 2002; van der Linden and Glas 2000) so the basic details of the methodology are not presented here. A review of that literature will show that most of the current CAT methodology is based on the assumption that a unidimensional IRT model accurately represents the interaction between persons and test items. In this chapter, the generalization of the CAT methodology to the multidimensional case is considered. To provide a framework for this material, a brief summary of the conceptual basis for CAT is provided.", "genre": "chapter", "id": "sg:pub.10.1007/978-0-387-89976-3_10", "inLanguage": "en", "isAccessibleForFree": false, "isPartOf": { "isbn": [ "978-0-387-89975-6", "978-0-387-89976-3" ], "name": "Multidimensional Item Response Theory", "type": "Book" }, "keywords": [ "interactive computing", "computer technology", "interactive computer technology", "computerized adaptive testing", "Armed Services Vocational Aptitude Battery", "adaptive testing", "operational applications", "basic components", "computing", "unidimensional IRT model", "CAT methodology", "methodology", "test items", "IRT models", "CAT procedure", "technology", "basic details", "framework", "detailed description", "applications", "conceptual basis", "multidimensional case", "generalization", "testing", "examinees", "model", "items", "method", "description", "brief summary", "detail", "persons", "MIRT", "batteries", "test", "CAT method", "components", "assumption", "development", "chapter", "summary", "basis", "literature", "book", "procedure", "interaction", "Weiss", "cases", "review", "history", "materials", "Earlier summaries" ], "name": "Computerized Adaptive Testing Using MIRT", "pagination": "311-339", "productId": [ { "name": "dimensions_id", "type": "PropertyValue", "value": [ "pub.1046349288" ] }, { "name": "doi", "type": "PropertyValue", "value": [ "10.1007/978-0-387-89976-3_10" ] } ], "publisher": { "name": "Springer Nature", "type": "Organisation" }, "sameAs": [ "https://doi.org/10.1007/978-0-387-89976-3_10", "https://app.dimensions.ai/details/publication/pub.1046349288" ], "sdDataset": "chapters", "sdDatePublished": "2022-05-10T10:51", "sdLicense": "https://scigraph.springernature.com/explorer/license/", "sdPublisher": { "name": "Springer Nature - SN SciGraph project", "type": "Organization" }, "sdSource": "s3://com-springernature-scigraph/baseset/20220509/entities/gbq_results/chapter/chapter_412.jsonl", "type": "Chapter", "url": "https://doi.org/10.1007/978-0-387-89976-3_10" }

    1. schema:ScholarlyArticle is used to describe journal articles; schema:Chapter is used to describe book chapters; schema:Book is used to describe books; schema:Periodical is used to describe journals; schema:Person is used to describe researchers (e.g. authors, editors, grant recipients) schema:MonetaryGrant is used to describe awarded research grants; schema:MedicalStudy is used to describe clinical trials; sgo:Patent is used to describe patents.

  4. Apr 2022
  5. Mar 2022
  6. Jan 2022
  7. Oct 2018
  8. Feb 2017
  9. Aug 2015
    1. he SKOS approach allows an application designer to create new properties to capture this distinction, and to declare them as sub-properties of skos:broader:
    2. However the SKOS vocabulary itself does not provide any mechanism for expressing that a given concept consists of a pre-coordination of other concepts

      E.g., this is why it's difficult to represent complex LCSH headings using SKOS.