International Conference on Electronic Participation

ePart 2015: Electronic Participation pp 68-80

A Knowledge Extraction and Management Component to Support Spontaneous Participation

  • Lukasz Porwol
  • Islam Hassan
  • Adegbojega Ojo
  • John Breslin
Conference paper

DOI: 10.1007/978-3-319-22500-5_6

Volume 9249 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Porwol L., Hassan I., Ojo A., Breslin J. (2015) A Knowledge Extraction and Management Component to Support Spontaneous Participation. In: Tambouris E. et al. (eds) Electronic Participation. ePart 2015. Lecture Notes in Computer Science, vol 9249. Springer, Cham

Abstract

Harnessing spontaneous contributions of citizens on Social Media and networking sites is a major feature of the next generation citizen-led e-Participation paradigm. However, extracting information of interest from Social Media streams is a challenging task and requires support from domain specific language resources such as lexica. This work describes our efforts at developing a Knowledge Extraction and Management component which employs a lexicon for extracting information related to public services in Social Media contents or streams as part of a holistic technology infrastructure for citizen-led e-Participation. Our approach consists of three basic steps – (1) acquisition and refinement of public service catalogues, (2) organization of the public service names into a lexicon based on different semantic similarity measures and (3) development of a dictionary-based Named Entity Recognizer (NER) or “spotter” based on the lexicon. We evaluate the performance of the NER solution supported by contextual information generated by two well-known general-purpose information NER tools (DBpedia Spotlight and Alchemy) on a dataset of tweets. Results show that our strategy to domain specific information extraction from Social Media is effective. We conclude with a scenario on how our approach could be scaled-up to extract other types of information from citizen discussions on Social Media.

Keywords

e-ParticipationCitizen-led e-ParticipationInformation extraction (IE)Natural Language Processing (NLP)Public servicese-Government

Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  • Lukasz Porwol
    • 1
  • Islam Hassan
    • 1
  • Adegbojega Ojo
    • 1
  • John Breslin
    • 1
  1. 1.Insight Centre for Data AnalyticsNational University of IrelandGalwayIreland