Computerization of scientific activity has changed the interdisciplinary study mechanics and researchers' views, providing new opportunities for analysis. This paper presents a catalogue of analytical software widely used for contextual knowledge explication and scientific text mining. The catalogue focuses on the contextual knowledge types (contexts) processed with a software considered, and applies both, human-oriented and machine-oriented IS descriptions. The human-oriented description of a software catalogue is presented by a corresponding IS architecture (applications and data) on conceptualization level. The machine-oriented software description is performed with Dublin Core metadata. The Dublin Core metadata have allowed structuring the main software characteristics and provided the metadata export to other presentation formats to be place in various kinds of ISs and metadata aggregators. The machine-readable part of the catalogue performs the replenishment tasks, software effective search and its recognition in accordance with the research tasks. The practical implementation of the catalogue as an open access network platform by the OAI-PMH metadata exchange protocol provides the integration into the scientific information space as a researchers' guidance.

Original languageEnglish
Title of host publicationIbero-American WWW / Internet Conference 2020
PublisherIADIS Press
Pages61-67
Number of pages7
ISBN (Electronic)9789898704238
StatePublished - 2020
Event19th Ibero-American International Conference on WWW/Internet 2020, ICWI 2020 - Lisbon, Virtual, Portugal
Duration: 18 Nov 2020 → 20 Nov 2020

Publication series

NameIbero-American WWW / Internet Conference 2020

Conference

Conference19th Ibero-American International Conference on WWW/Internet 2020, ICWI 2020
Country/TerritoryPortugal
CityLisbon, Virtual
Period18/11/20 → 20/11/20

    Research areas

  • Architectural Description, Context, Contextual Knowledge, Dublin Core, Human-Machine Interaction, IS Architecture, Scientific Text Mining, Software

    Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

ID: 73344027