Skip to main content

AETAS: A System for Semanticizing Temporal Expressions from Unstructured Contents

  • Conference paper
  • First Online:
Advances in Spatial and Temporal Databases (SSTD 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9239))

Included in the following conference series:

Abstract

AETAS is an online tool for converting text into RDF linked data with resolution of temporal expressions. AETAS follows fully SOA architecture and is accessible via web-service. It implements a novel approach for semantic representation and linked temporal graphs built from natural language sentences. In this paper, we present a demonstration tool, which combines the normalized temporal expressions with linguistic semantic frames and creates a linked RDF graph where time is defined as an individual dimension. The tool is based on SUTime which identifies and normalizes the temporal expressions and on FreeLing, a linguistic processor which extracts the semantics of sentences. The output of AETAS is a set of time-enriched triples that can be stored in a RDF database for later \(\tau \)-SPARQL querying.

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

Access this chapter

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

Notes

  1. 1.

    http://brigtstardb.com.

  2. 2.

    http://textserver.cs.upc.edu/textserver.

  3. 3.

    http://xorrai.cs.upc.edu/aetas.

  4. 4.

    http://www.simile-widgets.org/timeline.

  5. 5.

    http://www.godaddy.com.

References

  1. Costa, M., Couto, F., Silva, M.: Learning temporal-dependent ranking models. In: Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR 2014, pp. 757–766. ACM, New York, NY, USA (2014)

    Google Scholar 

  2. Alonso, O., Baeza-yates, R., Strötgen, J., Gertz, M.: Temporal information retrieval: challenges and opportunities. In: 1st Temporal Web Analytics Workshop, pp. 1–8, Hyderabad, India (2011)

    Google Scholar 

  3. Augenstein, I., Padó, S., Rudolph, S.: LODifier: generating linked data from unstructured text. In: Simperl, E., Cimiano, P., Polleres, A., Corcho, O., Presutti, V. (eds.) ESWC 2012. LNCS, vol. 7295, pp. 210–224. Springer, Heidelberg (2012)

    Google Scholar 

  4. Alonso, O., Gertz, M., Baeza-Yates, R.: Clustering and exploring search results using timeline constructions. In: Proceedings of the 18th ACM Conference on Information and Knowledge Management. CIKM 2009, pp. 97–106. ACM, New York, NY, USA (2009)

    Google Scholar 

  5. Schilder, F., Habel, C.: From temporal expressions to temporal information: semantic tagging of news messages. In: Proceedings of the Workshop on Temporal and Spatial Information Processing. vol. 13 of TASIP 2001, pp. 9:1–9:8, Stroudsburg, PA, USA (2001)

    Google Scholar 

  6. Marcus, A., Bernstein, M.S., Badar, O., Karger, D.R., Madden, S., Miller, R.C.: Twitinfo: aggregating and visualizing microblogs for event exploration. In: Proceedings of the International Conference on Human Factors in Computing Systems, CHI 2011, May 7–12, 2011, Vancouver, BC, Canada, pp. 227–236 (2011)

    Google Scholar 

  7. Draicchio, F., Gangemi, A., Presutti, V., Nuzzolese, A.G.: FRED: from natural language text to RDF and OWL in one click. In: Cimiano, P., Fernández, M., Lopez, V., Schlobach, S., Völker, J. (eds.) ESWC 2013. LNCS, vol. 7955, pp. 263–267. Springer, Heidelberg (2013)

    Google Scholar 

  8. Stadtmüller, S., Maurino, A., Rula, A., Palmonari, M., Harth, A.: On the diversity and availability of temporal information in linked open data. In: Cudré-Mauroux, P., Heflin, J., Sirin, E., Tudorache, T., Euzenat, J., Hauswirth, M., Parreira, J.X., Hendler, J., Schreiber, G., Bernstein, A., Blomqvist, E. (eds.) ISWC 2012, Part I. LNCS, vol. 7649, pp. 492–507. Springer, Heidelberg (2012)

    Google Scholar 

  9. Batsakis, S., Petrakis, E.G.M.: SOWL: a framework for handling spatio-temporal information in OWL 2.0. In: Bassiliades, N., Governatori, G., Paschke, A. (eds.) RuleML 2011 - Europe. LNCS, vol. 6826, pp. 242–249. Springer, Heidelberg (2011)

    Google Scholar 

  10. Chang, A.X., Manning, C.: SUTime: a library for recognizing and normalizing time expressions. In: Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC 2012), Istanbul, Turkey (2012)

    Google Scholar 

  11. Padró, L., Stanilovsky, E.: Freeling 3.0: towards wider multilinguality. In: Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC 2012), Istanbul, Turkey (2012)

    Google Scholar 

  12. UzZaman, N., Llorens, H., Derczynski, L., Allen, J., Verhagen, M., Pustejovsky, J.: SemEval-2013 task 1: TempEval-3: evaluating time expressions,events, and temporal relations. In: Proceedings of the Seventh International Workshop on SemanticEvaluation (SemEval 2013). Second Joint Conference on Lexical andComputational Semantics (*SEM), pp. 1–9, Atlanta, Georgia, USA, June 2013

    Google Scholar 

  13. Gutiérrez, C., Hurtado, C.A., Mendelzon, A.O.: Formal aspects of querying RDF databases. In: Proceedings of the First International Workshop on Semantic Web and Databases (SWDB 2003), Co-located with VLDB-2003, pp. 293–307, Berlin, Germany (2003)

    Google Scholar 

Download references

Acknowledgements

This research has been partially funded by the Spanish Government via the SKATER project (TIN2012-38584-C06-01).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Carme Martín .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Ardalan, Z., Martín, C., Padró, L. (2015). AETAS: A System for Semanticizing Temporal Expressions from Unstructured Contents. In: Claramunt, C., et al. Advances in Spatial and Temporal Databases. SSTD 2015. Lecture Notes in Computer Science(), vol 9239. Springer, Cham. https://doi.org/10.1007/978-3-319-22363-6_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-22363-6_26

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22362-9

  • Online ISBN: 978-3-319-22363-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics