A semantic matchmaking framework for volunteering marketplaces

Johannes Schönböck, Josef Altmann, Elisabeth Kapsamer, Birgit Pröll, Werner Retschitzegger, Wieland Schwinger

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

5 Citations (Scopus)


Volunteering is an omnipresent cornerstone of our society. Currently, new forms of volunteering like crowd workers, engagement hoppers or patchwork volunteers are arising. This next-generation volunteers more than ever demand for volunteering marketplaces providing adequate MatchMaking capabilities. This paper proposes a semantic MatchMaking framework allowing to compute a ranked list of tasks or volunteers whose profiles match “as closely as possible”. For this, an ontology-based vocabulary is established which explicitly captures the multifaceted nature of profiles for both, tasks and volunteers. Each of these facets is associated with adequate similarity measures and meta information explicitly capturing domain expertise. The feasibility of the approach is demonstrated by a simple example and a first prototype.

Original languageEnglish
Title of host publicationTrends and Advances in Information Systems and Technologies
EditorsAlvaro Rocha, Luis Paulo Reis, Sandra Costanzo, Hojjat Adeli
Number of pages11
ISBN (Print)9783319777023
Publication statusPublished - 2018
Event6th World Conference on Information Systems and Technologies, WorldCIST 2018 - Naples, Italy
Duration: 27 Mar 201829 Mar 2018

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357


Conference6th World Conference on Information Systems and Technologies, WorldCIST 2018


  • MatchMaking
  • Ontology
  • Similarity measure
  • Volunteering


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