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Cited by 13

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Integration of Scholarly Communication Metadata Using Knowledge Graphs

Sadeghi, Afshin, Lange, Christoph, Vidal, Maria-Esther, Auer, Sören·2017·Lecture Notes in Computer Science
DOI 10.1007/978-3-319-67008-9_26
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Integrity signals

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Crossref · 10.1007/978-3-319-67008-9_26

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  • Some studies conducted casual and subjective evaluation with survey questions and research questions [70, 74, 76] of the KG structure without using precise evaluation measures.

    “Some studies, for example, conducted a casual and subjective evaluation with the help of survey questions and research questions [70, 74, 76] of the KG structure without using precise evaluation measures.”

    From Scholarly knowledge graphs through structuring scholarly communication: a review (2023) · cites this paper as [70]

Citations

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Research works printed but not linked: 16

  1. Carlson, A., Betteridge, J., Kisiel, B., Settles, B., Hruschka Jr., E.R., Mitchell, T.M.: Toward an architecture for never-ending language learning. In: Proceedings of the 24th AAAI (2010) · DOI · Paper page
  2. Choudhury, S., Agarwal, K., Purohit, S., Zhang, B., Pirrung, M., Smith, W., Thomas, M.: NOUS: construction and querying of dynamic knowledge graphs. In: ICDE (2017) · DOI
  3. Dong, X., Gabrilovich, E., Heitz, G., Horn, W., Lao, N., Murphy, K., Strohmann, T., Sun, S., Zhang, W.: Knowledge vault: a web-scale approach to probabilistic knowledge fusion. In: SIGKDD (2014) · DOI · Paper page
  4. Ermilov, I., Auer, S., Stadler, C.: User-driven semantic mapping of tabular data. In: 9th International Conference on Semantic Systems, ISEM, pp. 105–112 (2013) · DOI
  5. Knoblock, C.A., Szekely, P., Ambite, J.L., Goel, A., Gupta, S., Lerman, K., Muslea, M., Taheriyan, M., Mallick, P.: Semi-automatically mapping structured sources into the semantic web. In: Simperl, E., Cimiano, P., Polleres, A., Corcho, O., Presutti, V. (eds.) ESWC 2012. LNCS, vol. 7295, pp. 375–390. Springer, Heidelberg (2012). doi:10.1007/978-3-642-30284-8_32 · DOI
  6. Nguyen, N.T.: A method for ontology conflict resolution and integration on relation level. Cybern. Syst. 38(8), 781–797 (2007) · DOI
  7. Nuzzolese, A.G., Gentile, A.L., Presutti, V., Gangemi, A.: Semantic Web Conference Ontology - A Refactoring Solution. In: Sack, H., Rizzo, G., Steinmetz, N., Mladenić, D., Auer, S., Lange, C. (eds.) ESWC 2016. LNCS, vol. 9989, pp. 84–87. Springer, Cham (2016). doi:10.1007/978-3-319-47602-5_18 · DOI
  8. Paulheim, H.: Knowledge graph refinement: A survey of approaches and evaluation methods. Semantic Web 8(3), 489–508 (2017) · DOI · Paper page
  9. Phuoc, D.L., Quoc, H.N.M., Quoc, H.N., Nhat, T.T., Hauswirth, M.: The graph of things: A step towards the live knowledge graph of connected things. J. Web Sem., 37–38 (2016) · DOI · Paper page
  10. Sinha, A., Shen, Z., Song, Y., Ma, H., Eide, D., Hsu, B.P., Wang, K.: An overview of microsoft academic service (MAS) and applications. In: WWW Companion (2015) · DOI
  11. Spanos, D., Stavrou, P., Mitrou, N.: Bringing relational databases into the semantic web: A Survey. Semantic Web 3(2), 169–209 (2012) · DOI
  12. Stadler, C., Unbehauen, J., Westphal, P., Sherif, M.A., Lehmann, J.: Simplified RDB2RDF mapping. In: Proceedings of the Workshop on Linked Data on the Web, LDOW 2015 (2015)
  13. Stoilos, G., Stamou, G., Kollias, S.: A string metric for ontology alignment. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds.) ISWC 2005. LNCS, vol. 3729, pp. 624–637. Springer, Heidelberg (2005). doi:10.1007/11574620_45 · DOI
  14. Szekely, P., et al.: Building and using a knowledge graph to combat human trafficking. In: Arenas, M., Corcho, O., Simperl, E., Strohmaier, M., d’Aquin, M., Srinivas, K., Groth, P., Dumontier, M., Heflin, J., Thirunarayan, K., Staab, S. (eds.) ISWC 2015. LNCS, vol. 9367, pp. 205–221. Springer, Cham (2015). doi:10.1007/978-3-319-25010-6_12 · DOI
  15. Traverso-Ribón, I., Palma, G., Flores, A., Vidal, M.-E.: Considering semantics on the discovery of relations in knowledge graphs. In: Blomqvist, E., Ciancarini, P., Poggi, F., Vitali, F. (eds.) EKAW 2016. LNCS (LNAI), vol. 10024, pp. 666–680. Springer, Cham (2016). doi:10.1007/978-3-319-49004-5_43 · DOI
  16. Volz, J., Bizer, C., Gaedke, M., Kobilarov, G.: Silk - a link discovery framework for the web of data. In: Proceedings of the 2nd Linked Data on the Web Workshop, pp. 1–6 (2009)

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Metadata

Authors
Sadeghi, A., Lange, C., Vidal, M.-E., & Auer, S.
Venue
Lecture Notes in Computer Science
Publisher
Springer International Publishing
Published
2017
Pages
328-341
ISSN
  • 0302-9743
  • 1611-3349
DOI
10.1007/978-3-319-67008-9_26
Cited by
13
References
0
Language
en
Licence
www.springer.com/tdm (unspecified)

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