{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T12:29:32Z","timestamp":1743078572853,"version":"3.40.3"},"publisher-location":"Cham","reference-count":38,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031778490"},{"type":"electronic","value":"9783031778506"}],"license":[{"start":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T00:00:00Z","timestamp":1732665600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T00:00:00Z","timestamp":1732665600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-77850-6_11","type":"book-chapter","created":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T05:14:05Z","timestamp":1732598045000},"page":"192-209","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Advancing Robotic Perception with\u00a0Perceived-Entity Linking"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7977-3617","authenticated-orcid":false,"given":"Mark","family":"Adamik","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8590-1817","authenticated-orcid":false,"given":"Romana","family":"Pernisch","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7116-9338","authenticated-orcid":false,"given":"Ilaria","family":"Tiddi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3282-1597","authenticated-orcid":false,"given":"Stefan","family":"Schlobach","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,11,27]]},"reference":[{"key":"11_CR1","doi-asserted-by":"crossref","unstructured":"Aguado, E., Sanz, R.: Using ontologies in autonomous robots engineering. Robot. Softw. Des. Eng. 71 (2021)","DOI":"10.5772\/intechopen.97357"},{"key":"11_CR2","doi-asserted-by":"publisher","unstructured":"Alarcos, A.O., et al.: A review and comparison of ontology-based approaches to robot autonomy. Knowl. Eng. Rev. 34, e29 (2019). https:\/\/doi.org\/10.1017\/S0269888919000237","DOI":"10.1017\/S0269888919000237"},{"key":"11_CR3","unstructured":"B\u00e1lint-Bencz\u00e9di, F., et al.: Robosherlock: cognition-enabled robot perception for everyday manipulation tasks. CoRR abs\/1911.10079 (2019). http:\/\/arxiv.org\/abs\/1911.10079"},{"key":"11_CR4","doi-asserted-by":"publisher","unstructured":"Balog, K.: Entity-Oriented Search. The Information Retrieval Series, vol.\u00a039. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-93935-3","DOI":"10.1007\/978-3-319-93935-3"},{"key":"11_CR5","doi-asserted-by":"publisher","unstructured":"Beetz, M., Balint-Benczedi, F., Blodow, N., Nyga, D., Wiedemeyer, T., Marton, Z.: Robosherlock: unstructured information processing for robot perception. In: IEEE International Conference on Robotics and Automation. ICRA 2015, Seattle, WA, USA, May 26\u201330 2015, pp. 1549\u20131556. IEEE (2015). https:\/\/doi.org\/10.1109\/ICRA.2015.7139395","DOI":"10.1109\/ICRA.2015.7139395"},{"key":"11_CR6","doi-asserted-by":"publisher","unstructured":"Beetz, M., Be\u00dfler, D., Haidu, A., Pomarlan, M., Bozcuoglu, A.K., Bartels, G.: Know rob 2.0 - a 2nd generation knowledge processing framework for cognition-enabled robotic agents. In: 2018 IEEE International Conference on Robotics and Automation. ICRA 2018, Brisbane, Australia, 21\u201325 May 2018, pp. 512\u2013519. IEEE (2018). https:\/\/doi.org\/10.1109\/ICRA.2018.8460964","DOI":"10.1109\/ICRA.2018.8460964"},{"key":"11_CR7","doi-asserted-by":"publisher","unstructured":"Berners-Lee, T., Hendler, J.A., Lassila, O.: The semantic web: a new form of web content that is meaningful to computers will unleash a revolution of new possibilities. In: Seneviratne, O., Hendler, J.A. (eds.) Linking the World\u2019s Information - Essays on Tim Berners-Lee\u2019s Invention of the World Wide Web, ACM Books, vol.\u00a052, pp. 91\u2013103. ACM (2023). https:\/\/doi.org\/10.1145\/3591366.3591376","DOI":"10.1145\/3591366.3591376"},{"key":"11_CR8","doi-asserted-by":"publisher","unstructured":"Besl, P.J., Jain, R.C.: Three-dimensional object recognition. ACM Comput. Surv. 17(1), 75\u2013145 (1985). https:\/\/doi.org\/10.1145\/4078.4081","DOI":"10.1145\/4078.4081"},{"key":"11_CR9","unstructured":"Bochkovskiy, A., Wang, C., Liao, H.M.: YOLOv4: optimal speed and accuracy of object detection. CoRR abs\/2004.10934 (2020). https:\/\/arxiv.org\/abs\/2004.10934"},{"key":"11_CR10","doi-asserted-by":"publisher","unstructured":"Brachman, R.J., Levesque, H.J.: Toward a new science of common sense. In: Thirty-Sixth AAAI Conference on Artificial Intelligence. AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelfth Symposium on Educational Advances in Artificial Intelligence. EAAI 2022 Virtual Event, 22 February\u20131 March 2022, pp. 12245\u201312249. AAAI Press (2022). https:\/\/doi.org\/10.1609\/AAAI.V36I11.21485","DOI":"10.1609\/AAAI.V36I11.21485"},{"key":"11_CR11","doi-asserted-by":"publisher","unstructured":"Daoutis, M., Coradeschi, S., Loutfi, A.: Grounding commonsense knowledge in intelligent systems. J. Ambient Intell. Smart Environ. 1(4), 311\u2013321 (2009). https:\/\/doi.org\/10.3233\/AIS-2009-0040","DOI":"10.3233\/AIS-2009-0040"},{"key":"11_CR12","unstructured":"Dredze, M., McNamee, P., Rao, D., Gerber, A., Finin, T.: Entity disambiguation for knowledge base population. In: Huang, C., Jurafsky, D. (eds.) COLING 2010, 23rd International Conference on Computational Linguistics, Proceedings of the Conference, 23\u201327 August 2010, Beijing, China, pp. 277\u2013285. Tsinghua University Press (2010). https:\/\/aclanthology.org\/C10-1032\/"},{"key":"11_CR13","doi-asserted-by":"publisher","unstructured":"Ehrig, M.: Ontology Alignment: Bridging the Semantic Gap, Semantic Web and Beyond: Computing for Human Experience, vol.\u00a04. Springer, Heidelberg (2007). https:\/\/doi.org\/10.1007\/978-0-387-36501-5","DOI":"10.1007\/978-0-387-36501-5"},{"key":"11_CR14","unstructured":"Ehrlinger, L., W\u00f6\u00df, W.: Towards a definition of knowledge graphs. In: Martin, M., Cuquet, M., Folmer, E. (eds.) Joint Proceedings of the Posters and Demos Track of the 12th International Conference on Semantic Systems - SEMANTiCS2016 and the 1st International Workshop on Semantic Change and Evolving Semantics (SuCCESS\u201916) Co-located with the 12th International Conference on Semantic Systems (SEMANTiCS 2016), Leipzig, Germany, 12\u201315 September 2016. CEUR Workshop Proceedings, vol.\u00a01695. CEUR-WS.org (2016). https:\/\/ceur-ws.org\/Vol-1695\/paper4.pdf"},{"key":"11_CR15","unstructured":"Fischer, L., et al.: Which tool to use? Grounded reasoning in everyday environments with assistant robots. In: Steinbauer, G., Ferrein, A. (eds.) Proceedings of the 11th Cognitive Robotics Workshop 2018, co-located with 16th International Conference on Principles of Knowledge Representation and Reasoning, CogRob@KR 2018, Tempe, AZ, USA, 27 October 2018. CEUR Workshop Proceedings, vol.\u00a02325, pp. 3\u201310. CEUR-WS.org (2018). https:\/\/ceur-ws.org\/Vol-2325\/paper-03.pdf"},{"key":"11_CR16","doi-asserted-by":"publisher","unstructured":"Gan, J., Luo, J., Wang, H., Wang, S., He, W., Huang, Q.: Multimodal entity linking: a new dataset and a baseline. In: Shen, H.T., et al. (eds.) MM \u201921: ACM Multimedia Conference, Virtual Event, China, 2\u201324 October 2021, pp. 993\u20131001. ACM (2021). https:\/\/doi.org\/10.1145\/3474085.3475400","DOI":"10.1145\/3474085.3475400"},{"key":"11_CR17","doi-asserted-by":"publisher","unstructured":"Harnad, S.: Symbol grounding problem. Scholarpedia 2(7), 2373 (2007). https:\/\/doi.org\/10.4249\/SCHOLARPEDIA.2373","DOI":"10.4249\/SCHOLARPEDIA.2373"},{"key":"11_CR18","doi-asserted-by":"publisher","unstructured":"Hogan, A., et al.: Knowledge graphs. ACM Comput. Surv. 54(4), 71:1\u201371:37 (2022). https:\/\/doi.org\/10.1145\/3447772","DOI":"10.1145\/3447772"},{"key":"11_CR19","unstructured":"Krishna, R., et al.: Visual genome: connecting language and vision using crowdsourced dense image annotations. CoRR abs\/1602.07332 (2016). http:\/\/arxiv.org\/abs\/1602.07332"},{"key":"11_CR20","doi-asserted-by":"publisher","unstructured":"Li, Y., Ouyang, W., Zhou, B., Wang, K., Wang, X.: Scene graph generation from objects, phrases and region captions. In: IEEE International Conference on Computer Vision. ICCV 2017, Venice, Italy, 22\u201329 October 2017, pp. 1270\u20131279. IEEE Computer Society (2017). https:\/\/doi.org\/10.1109\/ICCV.2017.142","DOI":"10.1109\/ICCV.2017.142"},{"key":"11_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"740","DOI":"10.1007\/978-3-319-10602-1_48","volume-title":"Computer Vision \u2013 ECCV 2014","author":"T-Y Lin","year":"2014","unstructured":"Lin, T.-Y., et al.: Microsoft COCO: common objects in context. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8693, pp. 740\u2013755. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10602-1_48"},{"key":"11_CR22","doi-asserted-by":"publisher","unstructured":"Mendes, P.N., Jakob, M., Garc\u00eda-Silva, A., Bizer, C.: DBPedia spotlight: shedding light on the web of documents. In: Ghidini, C., Ngomo, A.N., Lindstaedt, S.N., Pellegrini, T. (eds.) Proceedings the 7th International Conference on Semantic Systems. I-SEMANTICS 2011, Graz, Austria, 7\u20139 September 2011, pp.\u00a01\u20138. ACM International Conference Proceeding Series. ACM (2011). https:\/\/doi.org\/10.1145\/2063518.2063519","DOI":"10.1145\/2063518.2063519"},{"key":"11_CR23","doi-asserted-by":"publisher","unstructured":"Miller, G.A.: Wordnet: a lexical database for English. Commun. ACM 38(11), 39\u201341 (1995). https:\/\/doi.org\/10.1145\/219717.219748","DOI":"10.1145\/219717.219748"},{"key":"11_CR24","doi-asserted-by":"publisher","unstructured":"Mozer, M.: Object recognition: theories. In: Smelser, N.J., Baltes, P.B. (eds.) International Encyclopedia of the Social and Behavioral Sciences, pp. 10781\u201310785. Pergamon, Oxford (2001). https:\/\/doi.org\/10.1016\/B0-08-043076-7\/01459-5, https:\/\/www.sciencedirect.com\/science\/article\/pii\/B0080430767014595","DOI":"10.1016\/B0-08-043076-7\/01459-5"},{"key":"11_CR25","doi-asserted-by":"publisher","unstructured":"Rossetto, L., Baumgartner, M., Ashena, N., Ruosch, F., Pernischov\u00e1, R., Bernstein, A.: Lifegraph: a knowledge graph for lifelogs. In: Gurrin, C., et al. (eds.) Proceedings of the Third ACM Workshop on Lifelog Search Challenge, LSC@ICMR 2020, Dublin, Ireland, 8\u201311 June 2020, pp. 13\u201317. ACM (2020). https:\/\/doi.org\/10.1145\/3379172.3391717","DOI":"10.1145\/3379172.3391717"},{"key":"11_CR26","doi-asserted-by":"publisher","unstructured":"Shen, W., Wang, J., Han, J.: Entity linking with a knowledge base: issues, techniques, and solutions. IEEE Trans. Knowl. Data Eng. 27(2), 443\u2013460 (2015). https:\/\/doi.org\/10.1109\/TKDE.2014.2327028","DOI":"10.1109\/TKDE.2014.2327028"},{"key":"11_CR27","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"757","DOI":"10.1007\/978-3-540-25940-4_75","volume-title":"RoboCup 2003: Robot Soccer World Cup VII","author":"C Stanton","year":"2004","unstructured":"Stanton, C., Williams, M.-A.: Grounding robot sensory and symbolic information using the semantic web. In: Polani, D., Browning, B., Bonarini, A., Yoshida, K. (eds.) RoboCup 2003. LNCS (LNAI), vol. 3020, pp. 757\u2013764. Springer, Heidelberg (2004). https:\/\/doi.org\/10.1007\/978-3-540-25940-4_75"},{"key":"11_CR28","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1007\/978-3-030-49461-2_34","volume-title":"The Semantic Web","author":"T Pellissier Tanon","year":"2020","unstructured":"Pellissier Tanon, T., Weikum, G., Suchanek, F.: YAGO 4: a reason-able knowledge base. In: Harth, A., et al. (eds.) ESWC 2020. LNCS, vol. 12123, pp. 583\u2013596. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-49461-2_34"},{"key":"11_CR29","doi-asserted-by":"publisher","unstructured":"Tenorth, M., Beetz, M.: Knowrob: a knowledge processing infrastructure for cognition-enabled robots. Int. J. Robot. Res. 32(5), 566\u2013590 (2013). https:\/\/doi.org\/10.1177\/0278364913481635,","DOI":"10.1177\/0278364913481635"},{"key":"11_CR30","doi-asserted-by":"publisher","unstructured":"Tenorth, M., Perzylo, A.C., Lafrenz, R., Beetz, M.: Representation and exchange of knowledge about actions, objects, and environments in the roboearth framework. IEEE Trans Autom. Sci. Eng. 10(3), 643\u2013651 (2013). https:\/\/doi.org\/10.1109\/TASE.2013.2244883","DOI":"10.1109\/TASE.2013.2244883"},{"key":"11_CR31","doi-asserted-by":"publisher","unstructured":"Vrandecic, D., Kr\u00f6tzsch, M.: Wikidata: a free collaborative knowledgebase. Commun. ACM 57(10), 78\u201385 (2014). https:\/\/doi.org\/10.1145\/2629489","DOI":"10.1145\/2629489"},{"key":"11_CR32","doi-asserted-by":"publisher","unstructured":"Waibel, M., et al.: Roboearth. IEEE Robot. Autom. Mag. 18(2), 69\u201382 (2011). https:\/\/doi.org\/10.1109\/MRA.2011.941632","DOI":"10.1109\/MRA.2011.941632"},{"key":"11_CR33","doi-asserted-by":"publisher","unstructured":"Wu, Z., Xu, Y., Yang, Y., Zhang, C., Zhu, X., Ji, Y.: Towards a semantic web of things: a hybrid semantic annotation, extraction, and reasoning framework for cyber-physical system. Sensors 17(2), 403 (2017). https:\/\/doi.org\/10.3390\/S17020403","DOI":"10.3390\/S17020403"},{"key":"11_CR34","doi-asserted-by":"crossref","unstructured":"Yosef, M.A., Hoffart, J., Bordino, I., Spaniol, M., Weikum, G.: AIDA: an online tool for accurate disambiguation of named entities in text and tables. Proc. VLDB Endow. 4(12), 1450\u20131453 (2011). http:\/\/www.vldb.org\/pvldb\/vol4\/p1450-yosef.pdf","DOI":"10.14778\/3402755.3402793"},{"key":"11_CR35","doi-asserted-by":"publisher","unstructured":"Young, J., Basile, V., Kunze, L., Cabrio, E., Hawes, N.: Towards lifelong object learning by integrating situated robot perception and semantic web mining. In: Kaminka, G.A., et al. (eds.) ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August\u20132 September 2016, The Hague, The Netherlands - Including Prestigious Applications of Artificial Intelligence (PAIS 2016). Frontiers in Artificial Intelligence and Applications, vol.\u00a0285, pp. 1458\u20131466. IOS Press (2016). https:\/\/doi.org\/10.3233\/978-1-61499-672-9-1458","DOI":"10.3233\/978-1-61499-672-9-1458"},{"key":"11_CR36","doi-asserted-by":"publisher","unstructured":"Young, J., Kunze, L., Basile, V., Cabrio, E., Hawes, N., Caputo, B.: Semantic web-mining and deep vision for lifelong object discovery. In: 2017 IEEE International Conference on Robotics and Automation. ICRA 2017, Singapore, Singapore, 29 May\u20133 June 2017, pp. 2774\u20132779. IEEE (2017). https:\/\/doi.org\/10.1109\/ICRA.2017.7989323","DOI":"10.1109\/ICRA.2017.7989323"},{"key":"11_CR37","doi-asserted-by":"publisher","unstructured":"Zheng, Q., Wen, H., Wang, M., Qi, G.: Visual entity linking via multi-modal learning. Data Intell. 4(1), 1\u201319 (2022). https:\/\/doi.org\/10.1162\/DINT_A_00114","DOI":"10.1162\/DINT_A_00114"},{"key":"11_CR38","unstructured":"Zhu, G., et al.: Scene graph generation: a comprehensive survey. CoRR abs\/2201.00443 (2022). https:\/\/arxiv.org\/abs\/2201.00443"}],"container-title":["Lecture Notes in Computer Science","The Semantic Web \u2013 ISWC 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-77850-6_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T08:42:58Z","timestamp":1732610578000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-77850-6_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,27]]},"ISBN":["9783031778490","9783031778506"],"references-count":38,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-77850-6_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,11,27]]},"assertion":[{"value":"27 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISWC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Semantic Web Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hanover, MD","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 November 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 November 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"semweb2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iswc2024.semanticweb.org\/event\/3715c6fc-e2d7-47eb-8c01-5fe4ac589a52\/summary","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}