{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,21]],"date-time":"2025-12-21T10:04:27Z","timestamp":1766311467510,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031355066"},{"type":"electronic","value":"9783031355073"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-35507-3_33","type":"book-chapter","created":{"date-parts":[[2023,6,2]],"date-time":"2023-06-02T21:04:13Z","timestamp":1685739853000},"page":"347-356","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Tourist Trajectory Data Warehouse: Event Time of\u00a0Interest, Region of\u00a0Interest and\u00a0Place of\u00a0Interest"],"prefix":"10.1007","author":[{"given":"Intissar","family":"Hilali","sequence":"first","affiliation":[]},{"given":"Nouha","family":"Arfaoui","sequence":"additional","affiliation":[]},{"given":"Ridha","family":"Ejbali","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,6,3]]},"reference":[{"issue":"1","key":"33_CR1","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1007\/s41324-019-00269-x","volume":"28","author":"T Alsahfi","year":"2020","unstructured":"Alsahfi, T., Almotairi, M., Elmasri, R.: A survey on trajectory data warehouse. Spat. Inf. Res. 28(1), 53\u201366 (2020)","journal-title":"Spat. Inf. Res."},{"key":"33_CR2","first-page":"1","volume":"6","author":"N Arfaoui","year":"2011","unstructured":"Arfaoui, N., Akaichi, J.: Modeling herd trajectory data warehouse. Int. J. Eng. Trends Technol. 6, 1\u20139 (2011)","journal-title":"Int. J. Eng. Trends Technol."},{"key":"33_CR3","doi-asserted-by":"crossref","unstructured":"Azaiez, N., Akaichi, J.: How trajectory data modeling improves decision making? In: 2015 10th International Joint Conference on Software Technologies (ICSOFT), vol. 1, pp. 1\u20136. IEEE (2015)","DOI":"10.5220\/0005558300870092"},{"issue":"11","key":"33_CR4","doi-asserted-by":"publisher","first-page":"646","DOI":"10.3390\/ijgi9110646","volume":"9","author":"A Dom\u00e8nech","year":"2020","unstructured":"Dom\u00e8nech, A., Mohino, I., Moya-G\u00f3mez, B.: Using flickr geotagged photos to estimate visitor trajectories in world heritage cities. ISPRS Int. J. Geo Inf. 9(11), 646 (2020)","journal-title":"ISPRS Int. J. Geo Inf."},{"key":"33_CR5","doi-asserted-by":"crossref","unstructured":"Leonardi, L., et al.: T-warehouse: visual olap analysis on trajectory data. In: 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010), pp. 1141\u20131144. IEEE (2010)","DOI":"10.1109\/ICDE.2010.5447749"},{"issue":"3","key":"33_CR6","doi-asserted-by":"publisher","first-page":"108","DOI":"10.4018\/IJDWM.2020070106","volume":"16","author":"Michael Mireku Kwakye","year":"2020","unstructured":"Michael Mireku Kwakye: Conceptual model and design of semantic trajectory data warehouse. Int. J. Data Warehous. Min. (IJDWM) 16(3), 108\u2013131 (2020)","journal-title":"Int. J. Data Warehous. Min. (IJDWM)"},{"issue":"4","key":"33_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2501654.2501656","volume":"45","author":"C Parent","year":"2013","unstructured":"Parent, C., et al.: Semantic trajectories modeling and analysis. ACM Comput. Surv. (CSUR) 45(4), 1\u201332 (2013)","journal-title":"ACM Comput. Surv. (CSUR)"},{"issue":"4","key":"33_CR8","doi-asserted-by":"crossref","first-page":"805","DOI":"10.1111\/tgis.12526","volume":"23","author":"R dos Santos Mello","year":"2019","unstructured":"dos Santos Mello, R., et al.: Master: a multiple aspect view on trajectories. Trans. GIS 23(4), 805\u2013822 (2019)","journal-title":"Trans. GIS"},{"key":"33_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1007\/978-3-642-13486-9_5","volume-title":"The Semantic Web: Research and Applications","author":"Z Yan","year":"2010","unstructured":"Yan, Z., Parent, C., Spaccapietra, S., Chakraborty, D.: A hybrid model and computing platform for spatio-semantic trajectories. In: Aroyo, L., et al. (eds.) ESWC 2010. LNCS, vol. 6088, pp. 60\u201375. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-13486-9_5"},{"issue":"4","key":"33_CR10","doi-asserted-by":"publisher","first-page":"80","DOI":"10.3390\/bdcc5040080","volume":"5","author":"S Angelis","year":"2021","unstructured":"Angelis, S., Kotis, K., Spiliotopoulos, D.: Semantic trajectory analytics and recommender systems in cultural spaces. Big Data Cogn. Comput. 5(4), 80 (2021)","journal-title":"Big Data Cogn. Comput."},{"key":"33_CR11","doi-asserted-by":"crossref","unstructured":"Ribeiro\u00a0de Almeida, D., de\u00a0Souza\u00a0Baptista, C., Gomes\u00a0de Andrade, F., Soares, A.: A survey on big data for trajectory analytics. ISPRS Int. J. Geo-Inf. 9(2), 88 (2020)","DOI":"10.3390\/ijgi9020088"},{"key":"33_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1007\/978-3-319-14139-8_15","volume-title":"Advances in Conceptual Modeling","author":"R Wagner","year":"2014","unstructured":"Wagner, R., de Macedo, J.A.F., Raffaet\u00e0, A., Renso, C., Roncato, A., Trasarti, R.: Mob-warehouse: a semantic approach for mobility analysis with a trajectory data warehouse. In: Parsons, J., Chiu, D. (eds.) ER 2013. LNCS, vol. 8697, pp. 127\u2013136. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-14139-8_15"},{"key":"33_CR13","doi-asserted-by":"crossref","unstructured":"Fileto, R., Raffaet\u00e0, A., Roncato, A., Sacenti, J.A.P., May, C., Klein, D.: A semantic model for movement data warehouses. In: Proceedings of the 17th International Workshop on Data Warehousing and OLAP, pp. 47\u201356 (2014)","DOI":"10.1145\/2666158.2666180"},{"key":"33_CR14","unstructured":"Soares, A., Rose, J., Etemad, M., Renso, C., Matwin, S.: Vista: a visual analytics platform for semantic annotation of trajectories. In: Proceedings of the 22nd International Conference on Extending Database Technology (EDBT), pp. 570\u2013573 (2019)"},{"key":"33_CR15","doi-asserted-by":"crossref","unstructured":"Bogorny, V., Renso, C., de\u00a0Aquino, A.R., de\u00a0Lucca\u00a0Siqueira, F., Alvares, L.O.: Constant a conceptual data model for semantic trajectories of moving objects. Trans. GIS 18(1), 66\u201388 (2014)","DOI":"10.1111\/tgis.12011"},{"key":"33_CR16","doi-asserted-by":"crossref","unstructured":"Santana, L.H.Z., dos Santos\u00a0Mello R.: Workload-aware RDF partitioning and sparql query caching for massive RDF graphs stored in NOSQL databases. In: SBBD, vol. 32, pp. 184\u2013195 (2017)","DOI":"10.5753\/sbbd.2017.170758"},{"key":"33_CR17","doi-asserted-by":"crossref","unstructured":"da\u00a0Silva, M.C.T., Times, V.C., de\u00a0Mac\u00eado, J.A., Renso, C.: Swot: a conceptual data warehouse model for semantic trajectories. In: Proceedings of the ACM Eighteenth International Workshop on Data Warehousing and OLAP, pp. 11\u201314 (2015)","DOI":"10.1145\/2811222.2811232"},{"key":"33_CR18","doi-asserted-by":"crossref","unstructured":"Layouni, O., Akaichi, J.: A conceptual UML profile for modeling fuzzy trajectory data: An ambulance use case. In: 2016 IEEE\/ACS 13th International Conference of Computer Systems and Applications (AICCSA), pp. 1\u20136. IEEE (2016)","DOI":"10.1109\/AICCSA.2016.7945798"},{"key":"33_CR19","doi-asserted-by":"crossref","unstructured":"Nogueira, T.P., Braga, R.B., de\u00a0Oliveira, C.T., Martin, H.: Framestep: a framework for annotating semantic trajectories based on episodes. Expert Syst. Appl. 92, 533\u2013545 (2018)","DOI":"10.1016\/j.eswa.2017.10.004"},{"key":"33_CR20","doi-asserted-by":"crossref","unstructured":"de\u00a0Almeida, D.R., de\u00a0Vasconcelos, S.P., de\u00a0Andrade, F.G., de\u00a0Souza\u00a0Baptista, C.: Towards a hybrid and semantically enriched trajectory data warehouse. In: 2021 IEEE\/ACS 18th International Conference on Computer Systems and Applications (AICCSA), pp. 1\u20138. IEEE (2021)","DOI":"10.1109\/AICCSA53542.2021.9686877"},{"key":"33_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1007\/978-3-319-43946-4_22","volume-title":"Big Data Analytics and Knowledge Discovery","author":"M Manaa","year":"2016","unstructured":"Manaa, M., Akaichi, J.: Ontology-based trajectory data warehouse conceptual model. In: Madria, S., Hara, T. (eds.) DaWaK 2016. LNCS, vol. 9829, pp. 329\u2013342. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-43946-4_22"},{"key":"33_CR22","doi-asserted-by":"crossref","unstructured":"Golfarelli, M., Rizzi, S.: From star schemas to big data: 20+ years of data warehouse research. In: A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years, pp. 93\u2013107 (2018)","DOI":"10.1007\/978-3-319-61893-7_6"}],"container-title":["Lecture Notes in Networks and Systems","Intelligent Systems Design and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-35507-3_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,14]],"date-time":"2023-12-14T16:42:12Z","timestamp":1702572132000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-35507-3_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031355066","9783031355073"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-35507-3_33","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"3 June 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISDA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Systems Design and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 December 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isda2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.mirlabs.net\/isda22\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}