Ulrich Güntzer


Ontology type: schema:Person     


Person Info

NAME

Ulrich

SURNAME

Güntzer

Publications in SciGraph latest 50 shown

  • 2015-12-25 A Majority of Wrongs Doesn’t Make It Right - On Crowdsourcing Quality for Skewed Domain Tasks in WEB INFORMATION SYSTEMS ENGINEERING – WISE 2015
  • 2015-06-06 Realizing Impact Sourcing by Adaptive Gold Questions: A Socially Responsible Measure for Workers’ Trustworthiness in WEB-AGE INFORMATION MANAGEMENT
  • 2014 TopCrowd in CONCEPTUAL MODELING
  • 2012 Malleability-Aware Skyline Computation on Linked Open Data in DATABASE SYSTEMS FOR ADVANCED APPLICATIONS
  • 2007-05-11 Restricting skyline sizes using weak Pareto dominance in SICS SOFTWARE-INTENSIVE CYBER-PHYSICAL SYSTEMS
  • 2007-01-01 Eliciting Matters – Controlling Skyline Sizes by Incremental Integration of User Preferences in ADVANCES IN DATABASES: CONCEPTS, SYSTEMS AND APPLICATIONS
  • 2005 Approaching the Efficient Frontier: Cooperative Database Retrieval Using High-Dimensional Skylines in DATABASE SYSTEMS FOR ADVANCED APPLICATIONS
  • 2004 Efficient Distributed Skylining for Web Information Systems in ADVANCES IN DATABASE TECHNOLOGY - EDBT 2004
  • 2003-01-30 An Expert System for the Flexible Processing of XML -Based Mathematical Knowledge in a PROLOG—Environment in MATHEMATICAL KNOWLEDGE MANAGEMENT
  • 2003 An Information System for Retrieving and Reasoning about Xml-based Mathematical Knowledge in ELECTRONIC INFORMATION AND COMMUNICATION IN MATHEMATICS
  • 2002-11-05 On Real-Time Top k Querying for Mobile Services in ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS 2002: COOPIS, DOA, AND ODBASE
  • 2002-08-21 Data Mining of Association Rules and the Process of Knowledge Discovery in Databases in ADVANCES IN DATA MINING
  • 2002-04-29 Efficient Rule Retrieval and Postponed Restrict Operations for Association Rule Mining in ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING
  • 2000 Mining Association Rules: Deriving a Superior Algorithm by Analyzing Today’s Approaches in PRINCIPLES OF DATA MINING AND KNOWLEDGE DISCOVERY
  • 1998 A new algorithm for faster mining of generalized association rules in PRINCIPLES OF DATA MINING AND KNOWLEDGE DISCOVERY
  • 1997 Towards automatic hypertextual representation of linear texts in PRINCIPLES OF DOCUMENT PROCESSING
  • 1996 Fuzzy full-text searches in OCR databases in DIGITAL LIBRARIES RESEARCH AND TECHNOLOGY ADVANCES
  • 1995-03 Fixpoint iteration with subsumption in deductive databases in JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
  • 1995-02 On cautious probabilistic inference and default detachment in ANNALS OF OPERATIONS RESEARCH
  • 1995 Automatic hypertext conversion of paper document collections in DIGITAL LIBRARIES CURRENT ISSUES
  • 1994 Database reasoning — A deductive framework for solving large and complex problems by means of subsumption in MANAGEMENT AND PROCESSING OF COMPLEX DATA STRUCTURES
  • 1993 Fixpoint Evaluation with Subsumption for Probabilistic Uncertainty in DATENBANKSYSTEME IN BÜRO, TECHNIK UND WISSENSCHAFT
  • 1993 The differential fixpoint operator with subsumption in DEDUCTIVE AND OBJECT-ORIENTED DATABASES
  • 1992 Database support for problematic knowledge in ADVANCES IN DATABASE TECHNOLOGY — EDBT '92
  • 1992 LOLA — ein deduktives Datenbanksystem in OBJEKTBANKEN FÜR EXPERTEN
  • 1992 HyperMan — eine grafisch-orientierte Benutzerschnittstelle für Hypertext-Datenbanken in HYPERTEXT UND HYPERMEDIA 1992
  • 1992 Kooperative Zugangssysteme zu Objektbanken in OBJEKTBANKEN FÜR EXPERTEN
  • 1992 Hypertext for Software Engineering: Automatic Conversion of Source Code and its Documentation into an Integrated Hypertext in DATABASE AND EXPERT SYSTEMS APPLICATIONS
  • 1991 Probabilistic reasoning with facts and rules in deductive databases in SYMBOLIC AND QUANTITATIVE APPROACHES TO UNCERTAINTY
  • 1990 Einsatz des Hypertextsystems „HyperMan“ für Online-Datenbankmanuale in HYPERTEXT UND HYPERMEDIA
  • 1990 HyperTeX — A System for the Automatic Generation of Hypertext Textbooks from Linear Texts in DATABASE AND EXPERT SYSTEMS APPLICATIONS
  • 1990 Die Thesaurus-Relationen des lernfähigen Information Retrieval Systems TEGEN in INTERAKTION UND KOMMUNIKATION MIT DEM COMPUTER
  • 1989 DBA*: Solving Combinatorial Problems with Deductive Databases in DATENBANKSYSTEME IN BÜRO, TECHNIK UND WISSENSCHAFT
  • 1987-08 Time optimal left to right construction of position trees in ACTA INFORMATICA
  • 1987 Entscheidungstabellen und Expertensysteme in EXPERTENSYSTEME ’87 KONZEPTE UND WERKZEUGE
  • 1987 Deduktions- und Datenbankunterstützung für Expertensysteme in DATENBANKSYSTEME IN BÜRO, TECHNIK UND WISSENSCHAFT
  • 1985 Ein Expertensystem zur Unterstützung der Filialanalyse bei der HYPO-BANK in GI/OCG/ÖGI-JAHRESTAGUNG 1985
  • JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "affiliation": [
          {
            "affiliation": {
              "id": "http://www.grid.ac/institutes/grid.10392.39", 
              "type": "Organization"
            }, 
            "isCurrent": true, 
            "type": "OrganizationRole"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.6936.a", 
            "type": "Organization"
          }
        ], 
        "familyName": "G\u00fcntzer", 
        "givenName": "Ulrich", 
        "id": "sg:person.013324511711.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013324511711.75"
        ], 
        "sdDataset": "persons", 
        "sdDatePublished": "2021-12-01T20:42", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/person/person_738.jsonl", 
        "type": "Person"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/person.013324511711.75'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/person.013324511711.75'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/person.013324511711.75'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/person.013324511711.75'


     




    Preview window. Press ESC to close (or click here)


    ...