The Experts below are selected from a list of 249 Experts worldwide ranked by ideXlab platform

Jonathan Kolanowski - One of the best experts on this subject based on the ideXlab platform.

Gudrun Klinker - One of the best experts on this subject based on the ideXlab platform.

  • defining extended reality training a long Term Definition for all industries
    International Conference on Advanced Learning Technologies, 2020
    Co-Authors: Fabrizio Palmas, Gudrun Klinker
    Abstract:

    In order to keep up with technological developments and to be able to work efficiently, the training methodology must be kept up to date. A typical approach when innovating corporate training is to adopt new technologies. We attempt to deliver a common set of characterisations and concepts that allow us to classify and define extended reality training.

  • ICALT - Defining Extended Reality Training: A Long-Term Definition for All Industries
    2020 IEEE 20th International Conference on Advanced Learning Technologies (ICALT), 2020
    Co-Authors: Fabrizio Palmas, Gudrun Klinker
    Abstract:

    In order to keep up with technological developments and to be able to work efficiently, the training methodology must be kept up to date. A typical approach when innovating corporate training is to adopt new technologies. We attempt to deliver a common set of characterisations and concepts that allow us to classify and define extended reality training.

Fabrizio Palmas - One of the best experts on this subject based on the ideXlab platform.

  • defining extended reality training a long Term Definition for all industries
    International Conference on Advanced Learning Technologies, 2020
    Co-Authors: Fabrizio Palmas, Gudrun Klinker
    Abstract:

    In order to keep up with technological developments and to be able to work efficiently, the training methodology must be kept up to date. A typical approach when innovating corporate training is to adopt new technologies. We attempt to deliver a common set of characterisations and concepts that allow us to classify and define extended reality training.

  • ICALT - Defining Extended Reality Training: A Long-Term Definition for All Industries
    2020 IEEE 20th International Conference on Advanced Learning Technologies (ICALT), 2020
    Co-Authors: Fabrizio Palmas, Gudrun Klinker
    Abstract:

    In order to keep up with technological developments and to be able to work efficiently, the training methodology must be kept up to date. A typical approach when innovating corporate training is to adopt new technologies. We attempt to deliver a common set of characterisations and concepts that allow us to classify and define extended reality training.

Helena Kučerová - One of the best experts on this subject based on the ideXlab platform.

  • K otázkám metadatového popisu systémů organizace znalostí = Towards issues of descriptive metadata for knowledge organization systems
    2015
    Co-Authors: Eva Bratková, Helena Kučerová
    Abstract:

    Submitted study folows the previous one published in 2014 which was devoted to „knowledge organization system“ Term Definition and to typology issues of such systems. The new study is aimed at problems of their descriptive metadata. The study is based on representative set of knowledge organization system records processed and stored in the prototype of knowledge base, which is prepared within the project DF13P01OVV013 „Knowledge base for the subject area of knowledge organization“ as part of the NAKI Programme. The data collection representing these systems pointed out a necessity to describe these systems as entities of very changeable character, from the beginning of their creation, via their current transformations, up to their contemporary representations in free available structures of linked open data given by semantic web technologies. The study presents the result of these systems description in knowledge base proposal which is based on general principles of FRBR conceptual model, and on NKOS Application Profile – metadata elements for knowledge organization systems description being prepared by Dublin Core Metadata Initiative Networked Knowledge Organization Systems (DCMI NKOS) Task Group. Designed metadata schema is compared with existing metadata schemas used for similar purposes. The study comprises selected examples set of these systems description main types (classification schemes, thesauri, subject headings schemes). -- ISSN 1801-3252 (Print). ISSN 1802-8772 (Online).

  • k otazkam metadatoveho popisu systemů organizace znalosti towards issues of descriptive metadata for knowledge organization systems
    2015
    Co-Authors: Eva Bratková, Helena Kučerová
    Abstract:

    Submitted study folows the previous one published in 2014 which was devoted to „knowledge organization system“ Term Definition and to typology issues of such systems. The new study is aimed at problems of their descriptive metadata. The study is based on representative set of knowledge organization system records processed and stored in the prototype of knowledge base, which is prepared within the project DF13P01OVV013 „Knowledge base for the subject area of knowledge organization“ as part of the NAKI Programme. The data collection representing these systems pointed out a necessity to describe these systems as entities of very changeable character, from the beginning of their creation, via their current transformations, up to their contemporary representations in free available structures of linked open data given by semantic web technologies. The study presents the result of these systems description in knowledge base proposal which is based on general principles of FRBR conceptual model, and on NKOS Application Profile – metadata elements for knowledge organization systems description being prepared by Dublin Core Metadata Initiative Networked Knowledge Organization Systems (DCMI NKOS) Task Group. Designed metadata schema is compared with existing metadata schemas used for similar purposes. The study comprises selected examples set of these systems description main types (classification schemes, thesauri, subject headings schemes). -- ISSN 1801-3252 (Print). ISSN 1802-8772 (Online).

Fabio Massimo Zanzotto - One of the best experts on this subject based on the ideXlab platform.

  • COLING - Decision trees as explicit domain Term Definitions
    Proceedings of the 19th international conference on Computational linguistics -, 2002
    Co-Authors: Roberto Basili, Maria Teresa Pazienza, Fabio Massimo Zanzotto
    Abstract:

    Terminology Acquisition (TA) methods are viable solutions for the knowledge bottleneck problem that confines knowledge-intensive information access systems (such as Information Extraction systems) to restricted application scenarios. TA can be seen as a way to inspect large text collections for extracting concise domain knowledge. In this paper we argue that major insights over the notion of Term can be obtained by investigating a more domain-based Term Definition. We propose a decision tree learning approach as an interesting model of the human TA activity. An incremental model is proposed to study the evolution of the Term Definition during the TA process over a particular implicit domain model. The experimental apparatus is based on robust text processing tools that support a large scale investigation. The good results suggest that the proposed automatic TA model can support the development of conceptual domain dictionaries as required by knowledge-based information systems.