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31
93. Brezmes, T., Gorricho, J.L., Cotrina, J.: Activity recognition from accelerometer data on a
mobile phone. In: International Work-Conference on Artificial Neural Networks, pp. 796–799.
Springer, Berlin, Heidelberg (2009)
94. Lara, O.D., Labrador, M.A.: A survey on human activity recognition using wearable sensors.
IEEE Commun. Surv. Tutor. 15(3), 1192–1209 (2012)
95. Mangai, U.G., Samanta, S., Das, S., Chowdhury, P.R.: A survey of decision fusion and feature
fusion strategies for pattern classification. IETE Tech. Rev. 27(4), 293–307 (2010)
96. Tryfona, N., Pfoser, D.: Data semantics in location-based services. In: Journal on Data Semantics vol. III, pp. 168–195. Springer, Berlin, Heidelberg (2005)
97. Scherp, A., Franz, T., Saathoff, C., Staab, S.: F–a model of events based on the foundational
ontology dolce+ DnS ultralight. In: Proceedings of the Fifth International Conference on
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98. Gangemi, A., Mika, P.: Understanding the semantic web through descriptions and situations.
In: OTM Confederated International Conferences on the Move to Meaningful Internet Systems, pp. 689–706. Springer, Berlin, Heidelberg (2003)
99. Scherp, A., Franz, T., Saathoff, C., Staab, S.: A core ontology on events for representing
occurrences in the real world. Multimedia Tools Appl. 58(2), 293–331 (2012)
100. Van Hage, W.R., Malaisé, V., Segers, R., Hollink, L., Schreiber, G.: Design and use of the
simple event model (SEM). Web Semant. Sci. Serv. Agents World Wide Web 9(2), 128–136
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101. Media Ontology. https://www.w3.org/TR/mediaont-10/. Cited by 4 2020
102. Stegmaier, F., Bailer, W., Bürger, T., Suárez-Figueroa, M.C., Mannens, E., Evain, J.P., Hóffernig, M., Champin, P.A., Dóller, M., Kosch, H.: Unified access to media metadata on the
web. IEEE Multimedia 20(2), 22–29 (2012)
103. Paulheim, H.: Knowledge graph refinement: a survey of approaches and evaluation methods.
Semantic Web 8(3), 489–508 (2017)
104. Dubey, M., Banerjee, D., Chaudhuri, D., Lehmann, J.: Earl: joint entity and relation linking
for question answering over knowledge graphs. In: International Semantic Web Conference,
pp. 108–126. Springer, Cham (2018)
105. Cifariello, P., Ferragina, P., Ponza, M.: Wiser: A semantic approach for expert finding in
academia based on entity linking. Inf. Syst. 82, 1–16 (2019)
106. Zhang, W., Su, J., Tan, C.L., Wang, W.T.: Entity linking leveraging: automatically generated
annotation. In: Proceedings of the 23rd International Conference on Computational Linguistics, pp. 1290–1298. Association for Computational Linguistics (2010)
107. Bunescu, R., Pa¸ sca, M.: Using encyclopedic knowledge for named entity disambiguation. In:
11th Conference of the European Chapter of the Association for Computational Linguistics
(2006)
108. Lehmann, J., Isele, R., Jakob, M., Jentzsch, A., Kontokostas, D., Mendes, P.N., Hellmann, S.,
Morsey, M., Van Kleef, P., Auer, S., Bizer, C.: DBpedia-a large-scale, multilingual knowledge
base extracted from Wikipedia. Semantic Web 6(2), 167–195 (2015)
109. Ganea, O. E., Hofmann, T.: Deep joint entity disambiguation with local neural attention. arXiv
preprint arXiv:1704.04920 (2017)
110. Pershina, M., He, Y., Grishman, R.: Personalized page rank for named entity disambiguation.
In: Proceedings of the 2015 Conference of the North American Chapter of the Association
for Computational Linguistics: Human Language Technologies, pp. 238–243 (2015)
111. Moro, A., Raganato, A., Navigli, R.: Entity linking meets word sense disambiguation: a unified
approach. Trans. Assoc. Comput. Linguist. 2, 231–244 (2014)
112. CIDOC Conceptual Reference Model. http://www.cidoc-crm.org/. Cited by 4 2020
113. Golbeck, J., Rothstein, M.: Linking social networks on the web with FOAF: a semantic web
case study. AAAI 8, 1138–1143 (2008)
114. Brickley, D., Miller, L.: FOAF Vocabulary Specification 91, (2007)
115. Heckmann, D., Schwartz, T., Brandherm, B., Schmitz, M., von Wilamowitz-Moellendorff,
M.: Gumo–the general user model ontology. In: International Conference on User Modeling,
pp. 428–432. Springer, Berlin, Heidelberg (2005)
31
93. Brezmes, T., Gorricho, J.L., Cotrina, J.: Activity recognition from accelerometer data on a
mobile phone. In: International Work-Conference on Artificial Neural Networks, pp. 796–799.
Springer, Berlin, Heidelberg (2009)
94. Lara, O.D., Labrador, M.A.: A survey on human activity recognition using wearable sensors.
IEEE Commun. Surv. Tutor. 15(3), 1192–1209 (2012)
95. Mangai, U.G., Samanta, S., Das, S., Chowdhury, P.R.: A survey of decision fusion and feature
fusion strategies for pattern classification. IETE Tech. Rev. 27(4), 293–307 (2010)
96. Tryfona, N., Pfoser, D.: Data semantics in location-based services. In: Journal on Data Semantics vol. III, pp. 168–195. Springer, Berlin, Heidelberg (2005)
97. Scherp, A., Franz, T., Saathoff, C., Staab, S.: F–a model of events based on the foundational
ontology dolce+ DnS ultralight. In: Proceedings of the Fifth International Conference on
Knowledge Capture, pp. 137–144. ACM (200)
98. Gangemi, A., Mika, P.: Understanding the semantic web through descriptions and situations.
In: OTM Confederated International Conferences on the Move to Meaningful Internet Systems, pp. 689–706. Springer, Berlin, Heidelberg (2003)
99. Scherp, A., Franz, T., Saathoff, C., Staab, S.: A core ontology on events for representing
occurrences in the real world. Multimedia Tools Appl. 58(2), 293–331 (2012)
100. Van Hage, W.R., Malaisé, V., Segers, R., Hollink, L., Schreiber, G.: Design and use of the
simple event model (SEM). Web Semant. Sci. Serv. Agents World Wide Web 9(2), 128–136
(2011)
101. Media Ontology. https://www.w3.org/TR/mediaont-10/. Cited by 4 2020
102. Stegmaier, F., Bailer, W., Bürger, T., Suárez-Figueroa, M.C., Mannens, E., Evain, J.P., Hóffernig, M., Champin, P.A., Dóller, M., Kosch, H.: Unified access to media metadata on the
web. IEEE Multimedia 20(2), 22–29 (2012)
103. Paulheim, H.: Knowledge graph refinement: a survey of approaches and evaluation methods.
Semantic Web 8(3), 489–508 (2017)
104. Dubey, M., Banerjee, D., Chaudhuri, D., Lehmann, J.: Earl: joint entity and relation linking
for question answering over knowledge graphs. In: International Semantic Web Conference,
pp. 108–126. Springer, Cham (2018)
105. Cifariello, P., Ferragina, P., Ponza, M.: Wiser: A semantic approach for expert finding in
academia based on entity linking. Inf. Syst. 82, 1–16 (2019)
106. Zhang, W., Su, J., Tan, C.L., Wang, W.T.: Entity linking leveraging: automatically generated
annotation. In: Proceedings of the 23rd International Conference on Computational Linguistics, pp. 1290–1298. Association for Computational Linguistics (2010)
107. Bunescu, R., Pa¸ sca, M.: Using encyclopedic knowledge for named entity disambiguation. In:
11th Conference of the European Chapter of the Association for Computational Linguistics
(2006)
108. Lehmann, J., Isele, R., Jakob, M., Jentzsch, A., Kontokostas, D., Mendes, P.N., Hellmann, S.,
Morsey, M., Van Kleef, P., Auer, S., Bizer, C.: DBpedia-a large-scale, multilingual knowledge
base extracted from Wikipedia. Semantic Web 6(2), 167–195 (2015)
109. Ganea, O. E., Hofmann, T.: Deep joint entity disambiguation with local neural attention. arXiv
preprint arXiv:1704.04920 (2017)
110. Pershina, M., He, Y., Grishman, R.: Personalized page rank for named entity disambiguation.
In: Proceedings of the 2015 Conference of the North American Chapter of the Association
for Computational Linguistics: Human Language Technologies, pp. 238–243 (2015)
111. Moro, A., Raganato, A., Navigli, R.: Entity linking meets word sense disambiguation: a unified
approach. Trans. Assoc. Comput. Linguist. 2, 231–244 (2014)
112. CIDOC Conceptual Reference Model. http://www.cidoc-crm.org/. Cited by 4 2020
113. Golbeck, J., Rothstein, M.: Linking social networks on the web with FOAF: a semantic web
case study. AAAI 8, 1138–1143 (2008)
114. Brickley, D., Miller, L.: FOAF Vocabulary Specification 91, (2007)
115. Heckmann, D., Schwartz, T., Brandherm, B., Schmitz, M., von Wilamowitz-Moellendorff,
M.: Gumo–the general user model ontology. In: International Conference on User Modeling,
pp. 428–432. Springer, Berlin, Heidelberg (2005)
