CoChat
Sign Up
Cited by 9

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Creating a Scholarly Knowledge Graph from Survey Article Tables

Oelen, Allard, Stocker, Markus, Auer, Sören·2020·Lecture Notes in Computer Science
DOI 10.1007/978-3-030-64452-9_35
Open this paper in CoChat — free account

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/978-3-030-64452-9_35

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 30

  1. Adelfio, M.D., Samet, H.: Schema extraction for tabular data on the web. Proc. VLDB Endowment 6, 421–432 (2013). https://doi.org/10.14778/2536336.2536343 · DOI
  2. Corrêa, A.S., Corrêa, P.L.P., Da Silva, F.S.C.: Transparency portals versus open government data. An assessment of openness in Brazilian municipalities. In: ACM International Conference Proceeding Series, pp. 178–185 (2014). https://doi.org/10.1145/2612733.2612760 · DOI
  3. Corrêa, A.S., Zander, P.O.: Unleashing tabular content to open data: a survey on PDF table extraction methods and tools. In: ACM International Conference Proceeding Series, pp. 54–63 (2017). https://doi.org/10.1145/3085228.3085278 · DOI
  4. Fathalla, S., Vahdati, S., Auer, S., Lange, C.: Towards a knowledge graph representing research findings by semantifying survey articles. In: Kamps, J., Tsakonas, G., Manolopoulos, Y., Iliadis, L., Karydis, I. (eds.) TPDL 2017. LNCS, vol. 10450, pp. 315–327. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-67008-9_25 · DOI
  5. Gall, M.D., Borg, W.R.: Educational Research: An introduction, 6th edn. Longman Publishers USA, White Plains (1996)
  6. Hart, C.: Doing a Literature Review: Releasing the Social Science Research Imagination. Sage, Thousand Oaks (1998)
  7. Hassan, T., Baumgartner, R.: Table recognition and understanding from PDF files. In: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, pp. 1143–1147 (2007). https://doi.org/10.1109/ICDAR.2007.4377094 · DOI
  8. Herrmannova, D., Knoth, P.: An analysis of the microsoft academic graph. D-lib Mag. 22(9/10) (2016). https://doi.org/10.1045/september2016-herrmannova · DOI
  9. Hyvönen, E.: Publishing and using cultural heritage linked data on the semantic web. Synth. Lect. Semant. Web Theory Technol. 2(1), 1–159 (2012). https://doi.org/10.2200/S00452ED1V01Y201210WBE003 · DOI
  10. Jaradeh, M.Y., et al.: Open research knowledge graph: Next generation infrastructure for semantic scholarly knowledge. In: K-CAP 2019 - Proceedings of the 10th International Conference on Knowledge Capture, pp. 243–246 (2019). https://doi.org/10.1145/3360901.3364435 · DOI
  11. Jiang, D., Yang, X.: Converting PDF to HTML approach based on text detection. In: Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human, vol. 403, pp. 982–985 (2009). https://doi.org/10.1145/1655925.1656103 · DOI
  12. Klampfl, S., Granitzer, M., Jack, K., Kern, R.: Unsupervised document structure analysis of digital scientific articles. Int. J. Digit. Libr. 14(3), 83–99 (2014). https://doi.org/10.1007/s00799-014-0115-1 · DOI
  13. Körner, M., Ghavimi, B., Mayr, P., Hartmann, H., Staab, S.: Evaluating reference string extraction using line-based conditional random fields: a case study with German language publications. In: Kirikova, M., et al. (eds.) ADBIS 2017. CCIS, vol. 767, pp. 137–145. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-67162-8_15 · DOI
  14. Krotzsch, M., Vrandecic, D.: Wikidata : a free collaborative knowledge base. Commun. ACM 57(10), 78–85 (2014). https://doi.org/10.1145/2629489 · DOI
  15. Lammey, R.: CrossRef text and data mining services. Insights UKSG J. 28(2), 62–68 (2015). https://doi.org/10.1629/uksg.233 · DOI · Paper page
  16. Lehmberg, O., Ritze, D., Meusel, R., Bizer, C.: A large public corpus of web tables containing time and context metadata. In: Proceedings of the 25th International Conference Companion on World Wide Web - WWW 2016 Companion (2016). https://doi.org/10.1145/2872518.2889386 · DOI
  17. Lipinski, M., Yao, K., Breitinger, C., Beel, J., Gipp, B.: Evaluation of header metadata extraction approaches and tools for scientific PDF documents. In: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, pp. 385–386 (2013). https://doi.org/10.1145/2467696.2467753 · DOI
  18. Liu, Y., Bai, K., Mitra, P., Giles, C.L.: TableSeer: automatic table metadata extraction and searching in digital libraries. In: Proceedings of the 2007 Conference on Digital Libraries - JCDL 2007 (2007). https://doi.org/10.1145/1255175.1255193 · DOI
  19. Lopez, P.: GROBID: combining automatic bibliographic data recognition and term extraction for scholarship publications. In: Agosti, M., Borbinha, J., Kapidakis, S., Papatheodorou, C., Tsakonas, G. (eds.) ECDL 2009. LNCS, vol. 5714, pp. 473–474. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-04346-8_62 · DOI
  20. Mäkelä, E., Hyvönen, E., Ruotsalo, T.: How to deal with massively heterogeneous cultural heritage data - lessons learned in CultureSampo. Semant. Web 3(1), 85–109 (2012). https://doi.org/10.3233/sw-2012-0049 · DOI
  21. Mons, B., Velterop, J.: Nano-publication in the e-science era. In: Workshop on Semantic Web Applications in Scientific Discourse (SWASD 2009), pp. 14–15 (2009)
  22. Oelen, A., Jaradeh, M.Y., Farfar, K.E., Stocker, M., Auer, S.: Comparing research contributions in a scholarly knowledge graph. In: Proceedings of the Third International Workshop on Capturing Scientific Knowledge (SciKnow19), pp. 21–26 (2019) · DOI
  23. Oelen, A., Jaradeh, M.Y., Stocker, M., Auer, S.: Generate FAIR literature surveys with scholarly knowledge graphs. In: JCDL 2020: The 20th ACM/IEEE Joint Conference on Digital Libraries (In Press) (2020). https://doi.org/10.1145/3383583.3398520 · DOI
  24. Rastan, R., Paik, H.Y., Shepherd, J.: Texus. In: Proceedings of the 2015 ACM Symposium on Document Engineering - DocEng 2015 (2015). https://doi.org/10.1145/2682571.2797069 · DOI
  25. Skjæveland, M.G., Lian, E.H., Horrocks, I.: Publishing the norwegian petroleum directorate’s FactPages as semantic web data. In: International Semantic Web Conference, vol. 8219, pp. 162–177 (2013). https://doi.org/10.1007/978-3-642-41338-4_11 · DOI
  26. Takis, J., Islam, A.S., Lange, C., Auer, S.: Crowdsourced semantic annotation of scientific publications and tabular data in pdf. In: SEMANTICS 2015 Proceedings of the 11th International Conference on Semantic Systems (2015). https://doi.org/10.1145/2814864.2814887 · DOI
  27. Vahdati, S., Fathalla, S., Auer, S., Lange, C., Vidal, M.E.: Semantic representation of scientific publications. In: International Conference on Theory and Practice of Digital Libraries, vol. 11799, pp. 375–379 (2019). https://doi.org/10.1007/978-3-030-30760-8_37 · DOI
  28. Vasileiadis, M., Kaklanis, N., Votis, K., Tzovaras, D.: Extraction of tabular data from document images. In: Proceedings of the 14th Web for All Conference, W4A (2017). https://doi.org/10.1145/3058555.3058581 · DOI
  29. Webster, J., Watson, R.T.: Analyzing the Past to Prepare for the Future: writing a Literature Review. MIS Q. 26(2), xiii–xxiii (2002)
  30. Wee, B.V., Banister, D.: How to Write a literature review paper? Transp. Rev. 36(2), 278–288 (2016). https://doi.org/10.1080/01441647.2015.1065456 · DOI · Paper page

Cited by

Sorted by citations

Metadata

Authors
Oelen, A., Stocker, M., & Auer, S.
Venue
Lecture Notes in Computer Science
Publisher
Springer International Publishing
Published
2020
Pages
373-389
ISSN
  • 0302-9743
  • 1611-3349
DOI
10.1007/978-3-030-64452-9_35
Cited by
9
References
1
Language
en
Licence

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review