Multi-Dimensional Data Modelling for a Tourism Destination Data Warehouse
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Integration of multiple Big Data sources may reveal new insights that were not able to be detected with traditional approaches.
“Integration of multiple Big Data sources, e.g., heterogeneous data sources, in the form of structured and unstructured data, such as customer feedback, reservation and booking data, and web search / navigation data, in customer and supplier sides (Höpken et al., 2013, Höpken et al., 2015), may reveal new insights that were not able to be detected with traditional approaches.”
From Sentiment Analysis in Tourism: Capitalizing on Big Data (2019) · cites this paper as Höpken et al., 2013
Cites
Rainardi, V. (2008) · Apress eBooks · doi:10.1007/978-1-4302-0528-9 · Cited by 2,631 · see citing works
The Data Warehouse Lifecycle Toolkit
Kimball, R., Ross, M., Thornthwaite, W., Mundy, J., & Becker, B. (2009) · Cited by 697 · see citing works
Bornhorst, T., Ritchie, J. R. B., & Sheehan, L. (2009) · Tourism Management · doi:10.1016/j.tourman.2009.06.008 · Cited by 634 · see citing works
The “Pull” of Tourism Destinations: A Means-End Investigation
Klenosky, D. B. (2002) · Journal of Travel Research · doi:10.1177/004728750204000405 · Cited by 629 · see citing works
Vacationers and eWOM: Who Posts, and Why, Where, and What?
Bronner, F. E., & de Hoog, R. (2010) · Journal of Travel Research · doi:10.1177/0047287509355324 · Cited by 521 · see citing works
THE DIMENSIONAL FACT MODEL: A CONCEPTUAL MODEL FOR DATA WAREHOUSES
Golfarelli, M., Maio, D., & Rizzi, S. (1998) · International Journal of Cooperative Information Systems · doi:10.1142/s0218843098000118 · Cited by 478 · see citing works
Knowledge transfer and management in tourism organisations: An emerging research agenda
Shaw, G., & Williams, A. (2008) · Tourism Management · doi:10.1016/j.tourman.2008.02.023 · Cited by 434 · see citing works
Airline Yield Management with Overbooking, Cancellations, and No-Shows
Subramanian, J., Stidham, S., & Lautenbacher, C. J. (1999) · Transportation Science · doi:10.1287/trsc.33.2.147 · Cited by 339 · see citing works
Research issues in data stream association rule mining
Jiang, N., & Gruenwald, L. (2006) · ACM SIGMOD Record · doi:10.1145/1121995.1121998 · Cited by 287 · see citing works
A UML profile for multidimensional modeling in data warehouses
Luján‐Mora, S., Trujillo, J. C., & Song, I. (2005) · Data & Knowledge Engineering · doi:10.1016/j.datak.2005.11.004 · Cited by 278 · see citing works
Destination Benchmarking: An Indicator-System’s Potential for Exploring Guest Satisfaction
Fuchs, M., & Weiermair, K. (2004) · Journal of Travel Research · doi:10.1177/0047287503258827 · Cited by 251 · see citing works
Self-citationA framework for an industry supported destination marketing information system
Ritchie, R., & Ritchie, J. R. B. (2002) · Tourism Management · doi:10.1016/s0261-5177(02)00007-9 · Cited by 181 · see citing works
Classification of Customer Reviews based on Sentiment Analysis
Gräbner, D., Zanker, M., Fliedl, G., & Fuchs, M. (2012) · Information and Communication Technologies in Tourism 2012 · doi:10.1007/978-3-7091-1142-0_40 · Cited by 136 · see citing works
Self-citationKnowledge map for tourist destinations—needs and implications
Pyo, S. (2004) · Tourism Management · doi:10.1016/j.tourman.2004.03.001 · Cited by 101 · see citing works
Tourist market segmentation with linear and non-linear techniques
Bloom, J. Z. (2003) · Tourism Management · doi:10.1016/j.tourman.2003.07.004 · Cited by 100 · see citing works
Knowledge Discovery in Database for Tourist Destinations
Pyo, S., Uysal, M., & Chang, H. (2002) · Journal of Travel Research · doi:10.1177/0047287502040004006 · Cited by 94 · see citing works
Data mining for hotel firms: Use and limitations
Magnini, V. P. (2003) · Cornell Hotel and Restaurant Administration Quarterly · doi:10.1016/s0010-8804(03)90022-x · Cited by 89 · see citing works
Room occupancy rate forecasting: a neural network approach
Law, R. (1998) · International Journal of Contemporary Hospitality Management · doi:10.1108/09596119810232301 · Cited by 87 · see citing works
Forecasting tourism demand: a cubic polynomial approach
Chu, F.-L. (2003) · Tourism Management · doi:10.1016/s0261-5177(03)00086-4 · Cited by 86 · see citing works
Conceptualizing and evaluating the functions of destination marketing systems
Wang, Y., & Russo, S. M. (2007) · Journal Of Vacation Marketing · doi:10.1177/1356766707077687 · Cited by 84 · see citing works
A data mining approach to developing the profiles of hotel customers
Min, H., Min, H., & Emam, A. Z. (2002) · International Journal of Contemporary Hospitality Management · doi:10.1108/09596110210436814 · Cited by 79 · see citing works
Garrow, L. A., & Koppelman, F. S. (2004) · Journal of Air Transport Management · doi:10.1016/j.jairtraman.2004.06.007 · Cited by 57 · see citing works
Data Mining Techniques and Applications for Tourism Internet Marketing
Olmeda, I., & Sheldon, P. J. (2002) · Journal of Travel & Tourism Marketing · doi:10.1300/j073v11n02_01 · Cited by 50 · see citing works
The knowledge destination — a customer information-based destination management information system
Höpken, W., Fuchs, M., Keil, D., & Lexhagen, M. (2011) · Springer eBooks · doi:10.1007/978-3-7091-0503-0_34 · Cited by 35 · see citing works
Self-citationWallace, M., Maglogiannis, I. G., Karpouzis, K. C., Kormentzas, G., & Kollias, S. (2003) · Information Technology & Tourism · doi:10.3727/1098305031436971 · Cited by 34 · see citing works
EXPLOITING SEMANTIC WEB TECHNOLOGIES FOR HARMONIZING E-MARKETS
Dell’Erba, M., Fodor, O., Höpken, W., & Werthner, H. (2005) · Information Technology & Tourism · doi:10.3727/109830505774297210 · Cited by 32 · see citing works
Self-citationWeb Usage Mining in Tourism — A Query Term Analysis and Clustering Approach
Pitman, A., Zanker, M., Fuchs, M., & Lexhagen, M. (2010) · Springer eBooks · doi:10.1007/978-3-211-99407-8_33 · Cited by 29 · see citing works
Self-citationTowards Using Knowledge Discovery Techniques in Database Marketing for the Tourism Industry
Cho, V., & Leung, P. (2002) · Journal of Quality Assurance in Hospitality & Tourism · doi:10.1300/j162v03n03_07 · Cited by 16 · see citing works
Reference Model Of An Electronic Tourism Market
Höpken, W. (2000) · Springer eBooks · doi:10.1007/978-3-7091-6291-0_23 · Cited by 16 · see citing works
Self-citationData Mining im Tourismus : Theoretische Grundlagen und Anwendungen in der Praxis
Fuchs, M., & Höpken, W. (2009) · Open Research (University of Surrey) · doi:10.1007/bf03340421 · Cited by 11 · see citing works
Self-citationSemantic Online Tourism Market Monitoring
Walchhofer, N., Hronský, M., Pöttler, M., Baumgartner, R., & Fröschl, K. A. (2010) · Springer eBooks · doi:10.1007/978-3-211-99407-8_52 · Cited by 8 · see citing works
Kasavana, M. L., & Knutson, B. J. (1999) · Journal of Hospitality & Leisure Marketing · doi:10.1300/j150v06n01_06 · Cited by 8 · see citing works
Destination brand equity modelling and measurement – a summer tourism case from Sweden
Fuchs, M., Chekalina, T., & Lexhagen, M. (2012) · Cited by 6 · see citing works
Self-citationExtending Uml for Multidimensional Modeling in Data Warehouse
Dhawan, B., & Gosain, A. (2013) · International Journal of Computer and Communication Technology · doi:10.47893/ijcct.2013.1184 · Cited by 5 · see citing works
Flagged first, then by citations
3 of the 37 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Sentiment Analysis in Tourism: Capitalizing on Big Data
Alaei, A. R., Becken, S., & Stantic, B. (2019) · Journal of Travel Research · doi:10.1177/0047287517747753 · Cited by 622 · see citing works
Big data analytics for knowledge generation in tourism destinations – A case from Sweden
Fuchs, M., Höpken, W., & Lexhagen, M. (2014) · Journal of Destination Marketing & Management · doi:10.1016/j.jdmm.2014.08.002 · Cited by 308 · see citing works
Self-citationSentiment Analysis: Extracting Decision-Relevant Knowledge from UGC
Schmunk, S., Höpken, W., Fuchs, M., & Lexhagen, M. (2013) · Springer eBooks · doi:10.1007/978-3-319-03973-2_19 · Cited by 91 · see citing works
Self-citationFuchs, M., Abadzhiev, A., Svensson, B., Höpken, W., & Lexhagen, M. (2013) · Hrčak Portal of scientific journals of Croatia (University Computing Centre) · Cited by 51 · see citing works
Self-citationAngeloni, S. (2015) · Tourism Management · doi:10.1016/j.tourman.2015.06.011 · Cited by 44 · see citing works
Management and Leadership for Digital Transformation in Tourism
Pesonen, J. (2020) · Springer eBooks · doi:10.1007/978-3-030-05324-6_68-1 · Cited by 20 · see citing works
BITOUR: A Business Intelligence Platform for Tourism Analysis
Bustamante, A., Sebastiá, L., & Onaindía, E. (2020) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi9110671 · Cited by 23 · see citing works
Sensing the Online Social Sphere Using a Sentiment Analytical Approach
Höpken, W., Fuchs, M., Menner, T., & Lexhagen, M. (2017) · Tourism on the Verge · doi:10.1007/978-3-319-44263-1_8 · Cited by 20 · see citing works
Self-citationUnderstanding the adoption of data-driven decision-making practices among Canadian DMOs
Novotny, M., Dodds, R., & Walsh, P. R. (2023) · Information Technology & Tourism · doi:10.1007/s40558-023-00281-w · Cited by 19 · see citing works
Zhang, H., Ren, S., Li, X. R., Baharin, H., Alghamdi, A. A., & Alghamdi, O. (2023) · Information Processing & Management · doi:10.1016/j.ipm.2023.103326 · Cited by 16 · see citing works
Fuchs, M., Höpken, W., & Lexhagen, M. (2014) · Springer eBooks · doi:10.1007/978-3-658-06660-4_11 · Cited by 16 · see citing works
Self-citationKeil, D., Höpken, W., Fuchs, M., & Lexhagen, M. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-58640-3_34 · Cited by 13 · see citing works
Self-citationIntegration of Data Mining Results into Multi-dimensional Data Models
Meyer, V., Höpken, W., Fuchs, M., & Lexhagen, M. (2014) · Springer eBooks · doi:10.1007/978-3-319-14343-9_12 · Cited by 9 · see citing works
Self-citationConstructing a Data Warehouse Based Decision Support Platform for China Tourism Industry
Qiao, X., Zhang, L., Li, N., & Zhu, W. G. (2013) · Springer eBooks · doi:10.1007/978-3-319-03973-2_64 · Cited by 8 · see citing works
Big Data Analytics for Tourism Destinations
Höpken, W., Fuchs, M., & Lexhagen, M. (2018) · Advances in computer and electrical engineering book series · doi:10.4018/978-1-5225-7598-6.ch003 · Cited by 8 · see citing works
Self-citationKolas, N., Höpken, W., Fuchs, M., & Lexhagen, M. (2014) · Springer eBooks · doi:10.1007/978-3-319-14343-9_6 · Cited by 6 · see citing works
Self-citationFuchs, M., & Höpken, W. (2020) · Springer eBooks · doi:10.1007/978-3-030-05324-6_107-1 · Cited by 6 · see citing works
Self-citationBig Data Analytics for Tourism Destinations
Höpken, W., Fuchs, M., & Lexhagen, M. (2017) · IGI Global eBooks · doi:10.4018/978-1-5225-2255-3.ch031 · Cited by 6 · see citing works
Self-citationA universal and multi-dimensional model for analytical data on geological samples
He, Y., Tian, D., Wang, H., Li, Y., Yu, M., & Chen, P. (2019) · Geoscientific instrumentation, methods and data systems · doi:10.5194/gi-8-277-2019 · Cited by 5 · see citing works
Modeling and querying facts with period timestamps in data warehouses
Mahlknecht, G., Dignös, A., & Kozmina, N. (2019) · International Journal of Applied Mathematics and Computer Science · doi:10.2478/amcs-2019-0003 · Cited by 5 · see citing works
Developing a Destination Management Information System: A Case Study of Ottawa, Canada
Novotny, M., & Dodds, R. (2022) · International Conference on Tourism Research · doi:10.34190/ictr.15.1.253 · Cited by 5 · see citing works
Building Data Warehouse and Dashboard of Church Congregation Data
Irawan, R. Y., Susanto, B., & Lukito, Y. (2021) · Jurnal Terapan Teknologi Informasi · doi:10.21460/jutei.2019.32.183 · Cited by 3 · see citing works
Perceiving Airline Passenger Booking Lifecycle with the Utilization of Data Warehouse
Gounder, M. P., & Kumar, K. N. P. (2023) · Lecture notes in computer science · doi:10.1007/978-981-99-2233-8_18 · Cited by 1 · see citing works
Operationalizing Business Intelligence for Local Level Tourism Destination Performance
Klepers, A., & Ābols, I. (2023) · Smart innovation, systems and technologies · doi:10.1007/978-981-99-0333-7_42 · Cited by 1 · see citing works
Data Warehouse With OLAP Technology for the Tourism Industry
Singh, P., & Dev, V. (2023) · IGI Global eBooks · doi:10.4018/978-1-7998-9220-5.ch012
- Authors
- Höpken, W., Fuchs, M., Höll, G., Keil, D., & Lexhagen, M.
- Affiliations
- University of Applied Sciences Ravensburg-Weingarten (DE)
- Mid Sweden University (SE)
- Corresponding author
- Höpken, Wolfram
- Venue
- Information and Communication Technologies in Tourism 2013
- Publisher
- Springer Berlin Heidelberg
- Published
- 2013
- Pages
- 157-169
- OpenAlex
- W85525024
- Cited by
- 24
- References
- 37
- Citations by year
- 2023: 5 · 2022: 1 · 2021: 1 · 2020: 3 · 2019: 2 · 2018: 1 · 2017: 3 · 2016: 1 · 2015: 1 · 2014: 3 · 2013: 3
- FWCI
- 15.32
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Social Sciences › Sociology and Political Science › Diverse Aspects of Tourism Research
- Social Sciences › Decision Sciences › Management Science and Operations Research › Knowledge Management and Technology
- Keywords
- multidimensional model, business intelligence, OLAP, customer feedback, destination stakeholders, data warehouse architecture, destination management
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
