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\(\mathtt{LODsyndesis}_{IE}\): Entity Extraction from Text and Enrichment Using Hundreds of Linked Datasets

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The Semantic Web: ESWC 2020 Satellite Events (ESWC 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12124))

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Abstract

We shall demonstrate \(\mathtt{LODsyndesis}_{IE}\), which is a research prototype that offers Entity Extraction from text and Entity Enrichment for the extracted entities, using several Linked Datasets. \(\mathtt{LODsyndesis}_{IE}\) exploits widely used Named Entity Extraction and Disambiguation tools (i.e., DBpedia Spotlight, WAT and Stanford CoreNLP) for identifying the entities of a given text, and enriches each identified entity with hyperlinks to LODsyndesis, which offers various services for millions of entities by leveraging hundreds of Linked Datasets. \(\mathtt{LODsyndesis}_{IE}\) brings several benefits to the entity extraction task: the user can a) annotate the entities of a given text by selecting different entity recognition tools, b) retrieve all the URIs and facts of each recognized entity from multiple datasets, and c) discover the K most relevant datasets (e.g., datasets containing the most facts) for each entity. The demo is available at https://demos.isl.ics.forth.gr/LODsyndesisIE/.

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References

  1. Al-Moslmi, T., Ocaña, M.G., Opdahl, A.L., Veres, C.: Named entity extraction for knowledge graphs: a literature overview. IEEE Access 8, 32862–32881 (2020)

    Article  Google Scholar 

  2. Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z.: DBpedia: a nucleus for a web of open data. In: Aberer, K., et al. (eds.) ASWC/ISWC -2007. LNCS, vol. 4825, pp. 722–735. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-76298-0_52

    Chapter  Google Scholar 

  3. Beek, W., Raad, J., Wielemaker, J., van Harmelen, F.: sameAs.cc: the closure of 500M owl:sameAs statements. In: Gangemi, A., et al. (eds.) ESWC 2018. LNCS, vol. 10843, pp. 65–80. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-93417-4_5

    Chapter  Google Scholar 

  4. Diefenbach, D., Singh, K., Maret, P.: WDAqua-core1: a question answering service for RDF knowledge bases. In: Companion Proceedings of the The Web Conference 2018, pp. 1087–1091 (2018)

    Google Scholar 

  5. Dimitrakis, E., Sgontzos, K., Mountantonakis, M., Tzitzikas, Y.: Enabling efficient question answering over hundreds of linked datasets. In: Flouris, G., Laurent, D., Plexousakis, D., Spyratos, N., Tanaka, Y. (eds.) ISIP 2019. CCIS, vol. 1197, pp. 3–17. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-44900-1_1

    Chapter  Google Scholar 

  6. Dimitrakis, E., Sgontzos, K., Tzitzikas, Y.: A survey on question answering systems over linked data and documents. J. Intell. Inf. Syst. 55(2), 233–259 (2019). https://doi.org/10.1007/s10844-019-00584-7

    Article  Google Scholar 

  7. Guha, R.V., Brickley, D., Macbeth, S.: Schema. org: evolution of structured data on the web. Commun. ACM 59(2), 44–51 (2016)

    Article  Google Scholar 

  8. Manning, C.D., Surdeanu, M. , Bauer, J., Finkel, J.R., Bethard, S., McClosky, D.: The stanford CoreNLP natural language processing toolkit. In: Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pp. 55–60 (2014)

    Google Scholar 

  9. Mendes, P.N., Jakob, M., García-Silva, A., Bizer, C.: DBpedia spotlight: shedding light on the web of documents. In: SEMANTiCS, pp. 1–8. ACM (2011)

    Google Scholar 

  10. Mountantonakis, M., Tzitzikas, Y.: Large scale semantic integration of linked data: a survey. ACM Comput. Surv. (CSUR) 52(5), 103 (2019)

    Google Scholar 

  11. Mountantonakis, M., Tzitzikas, Y.: Content-based union and complement metrics for dataset search over RDF knowledge graphs. J. Data Inf. Qual. (JDIQ) 12(2), 1–31 (2020)

    Article  Google Scholar 

  12. Piccinno, F., Ferragina, P.: From TagME to WAT: a new entity annotator. In: Proceedings of Workshop on Entity Recognition & Disambiguation, pp. 55–62 (2014)

    Google Scholar 

  13. Röder, M., Usbeck, R., Ngonga Ngomo, A.-C.: Gerbil-benchmarking named entity recognition and linking consistently. Semant. Web 9(5), 605–625 (2018)

    Article  Google Scholar 

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Acknowledgements

The research work was supported by the Hellenic Foundation for Research and Innovation (HFRI) and the General Secretariat for Research and Technology (GSRT), under the HFRI PhD Fellowship grant (GA. No. 166).

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Authors and Affiliations

  1. Institute of Computer Science - FORTH-ICS, Heraklion, Greece

    Michalis Mountantonakis & Yannis Tzitzikas

  2. Computer Science Department, University of Crete, Heraklion, Greece

    Michalis Mountantonakis & Yannis Tzitzikas

Authors
  1. Michalis Mountantonakis
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  2. Yannis Tzitzikas
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Correspondence to Yannis Tzitzikas .

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Editors and Affiliations

  1. University of Erlangen-Nuremberg, Nuremberg, Germany

    Andreas Harth

  2. National Research Council, Rome, Italy

    Valentina Presutti

  3. Eurecom, Sophia Antipolis, France

    Raphaël Troncy

  4. Karlsruhe Institute of Technology, Karlsruhe, Germany

    Maribel Acosta

  5. Institute for Information Business at WU Wien, Vienna, Austria

    Axel Polleres

  6. Institute for Information Business at WU Wien, Vienna, Austria

    Javier D. Fernández

  7. Siemens AG Österreich, Vienna, Austria

    Josiane Xavier Parreira

  8. Linköping University, Linköping, Sweden

    Olaf Hartig

  9. Aalborg University, Aalborg, Denmark

    Katja Hose

  10. Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Michael Cochez

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Mountantonakis, M., Tzitzikas, Y. (2020). \(\mathtt{LODsyndesis}_{IE}\): Entity Extraction from Text and Enrichment Using Hundreds of Linked Datasets. In: Harth, A., et al. The Semantic Web: ESWC 2020 Satellite Events. ESWC 2020. Lecture Notes in Computer Science(), vol 12124. Springer, Cham. https://doi.org/10.1007/978-3-030-62327-2_29

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  • DOI: https://doi.org/10.1007/978-3-030-62327-2_29

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