Towards measuring the potential for semantically enriched texts in knowledge working environments

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

Abstract

Knowledge work often requires people to read and comprehend documents in order to fulfill their tasks. To support knowledge workers in their real working environment semantically enriched texts can be leveraged. One technical basis is Named Entity Linking (NEL), which provides the capabilities to identify entities in a text and link them to a knowledge base that provides further information about them. This provides several opportunities to improve the outcome (e.g. text comprehension). In this paper, we lay the foundations for evaluating such semantic text enrichment environments that can be used in different business cases. The main result is an approach for measuring the effects of semantically enriched texts in the working environment comprising the five dimensions text, enrichment, reader, activity, and output.

Original languageEnglish
Title of host publicationHCI in Business, Government, and Organizations - 5th International Conference, HCIBGO 2018, Held as Part of HCI International 2018, Proceedings
EditorsBo Sophia Xiao, Fiona Fui-Hoon Nah
PublisherSpringer Verlag
Pages145-161
Number of pages17
ISBN (Print)9783319917153
DOIs
Publication statusPublished - 2018
Event5th International Conference on HCI in Business, Government, and Organizations, HCIBGO 2018 Held as Part of HCI International 2018 - Las Vegas, United States
Duration: 15 Jul 201820 Jul 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10923 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on HCI in Business, Government, and Organizations, HCIBGO 2018 Held as Part of HCI International 2018
CountryUnited States
CityLas Vegas
Period15.07.201820.07.2018

Keywords

  • Multimedia comprehension
  • Named entity linking
  • NEL
  • Reading comprehension
  • Semantic enrichment
  • Use case

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