Skip to main content
SpringerLink
Log in

Context-Aware Visualization of Entity-Entity Relationships in a Document Corpus

  • Conference paper
  • First Online:
Databases Theory and Applications (ADC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11393))

Included in the following conference series:

  • 536 Accesses

Abstract

The paper presents an interactive graphical environment, which enables the detection and graphical visualization of concepts in a document or a document collection. Concepts are expressed by (multiple) entities extracted from the document and by the relationships between them. The tool offers an entity-centered view, which graphically shows the most important relationships of a central entity or entity-group, consisting of multiple co-occurring entities. By specifying prefixes and an additional available type system, complex filters can be created that allow the disclosure of various relationships between entities. Entities and their relationships are determined at the time of indexing and stored in appropriate data structures, so that an interactive search and exploration of relationships between entities is easily possible at runtime. The tool is available for online demonstration at https://www.smiffy.de/CoOcViz (credentials: adc2019, password: demo) .

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Nadeau, D., Sekine, S.: A survey of named entity recognition and classification. Linguist. Investig. 30(1), 3–26 (2007)

    Article  Google Scholar 

  2. Hoffart, J.: Discovering and disambiguating named entities in text, Ph.D. dissertation. Universität des Saarlandes, Saarbrücken (2015)

    Google Scholar 

  3. Schmidt, A., Hoffart, J., Milchevski, D., Weikum, G.: Context-sensitive auto-completion for searching with entities and categories. In: Proceedings of the 39th International ACM SIGIR Conference, pp. 1097–1100 (2016)

    Google Scholar 

  4. Hoffart, J., Milchevski, D., Weikum, G.: STICS: searching with strings, things, and cats. In: Proceedings of the 37th International ACM SIGIR Conference, pp. 1247–1248 (2014)

    Google Scholar 

  5. Seufert, S., Berberich, K., Bedathur, S.J., Kondreddi S.K., Ernst, P., Weikum, G.: Espresso: explaining relationships between entity sets. In: Proceedings of the 25th ACM International CIKM Conference, pp. 1311–1320 (2016)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Applied Sciences, Karlsruhe, Germany

    Andreas Schmidt & Philipp Kief

  2. Karlsruhe Institute of Technology, Karlsruhe, Germany

    Andreas Schmidt & Steffen Scholz

Authors
  1. Andreas Schmidt
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Philipp Kief
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Steffen Scholz
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Andreas Schmidt .

Editor information

Editors and Affiliations

  1. University of Sydney, Sydney, NSW, Australia

    Lijun Chang

  2. University of Melbourne, Parkville, VIC, Australia

    Junhao Gan

  3. University of New South Wales, Sydney, NSW, Australia

    Xin Cao

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Schmidt, A., Kief, P., Scholz, S. (2019). Context-Aware Visualization of Entity-Entity Relationships in a Document Corpus. In: Chang, L., Gan, J., Cao, X. (eds) Databases Theory and Applications. ADC 2019. Lecture Notes in Computer Science(), vol 11393. Springer, Cham. https://doi.org/10.1007/978-3-030-12079-5_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-12079-5_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-12078-8

  • Online ISBN: 978-3-030-12079-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation