Approaching location-based services from a place-based perspective: from data to services?

References

• Adams, B., and G. McKenzie. 2013. “Inferring Thematic Places from Spatially Referenced Natural Language Descriptions.” In Crowdsourcing Geographic Knowledge, edited by D. Sui, S. Elwood, and M. Goodchild, 201–221. Dordrecht: Springer. doi:10.1007/978-94-007-4587-2_12.
   Google Scholar
• Agnew, J. A. 1987. Place and Politics: The Geographical Mediation of State and Society. Boston: Allen & Unwin.
   Google Scholar
• Alivand, M., and H. Hochmair. 2013. “Extracting Scenic Routes from VGI Data Sources.” In Proceedings of the Second ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information - GEOCROWD ’13, 23–30. New York: ACM Press. doi:10.1145/2534732.2534743.
   Google Scholar
• Andreas, K., and J. D. Mazimpaka. 2016. “Safety-Aware Routing for Motorised Tourists Based on Open Data and VGI.” Journal of Location Based Services 10 (1): 64–77. doi:10.1080/17489725.2016.1170216.
   Web of Science ®Google Scholar
• Bartie, P., W. Mackaness, O. Lemon, T. Dalmas, S. Janarthanam, R. L. Hill, A. Dickinson, and X. Liu. 2018. “A Dialogue Based Mobile Virtual Assistant for Tourists: The SpaceBook Project.” Computers, Environment and Urban Systems 67 (2018): 110–123. doi: 10.1016/j.compenvurbsys.2017.09.010.
   Google Scholar
• Basiri, A., T. Moore, C. Hill, and P. Bhatia. 2015. “Challenges of Location-Based Services Market Analysis: Current Market Description.” In Progress in Location-Based Services 2014, edited by G. Gartner and H. Huang, 273–282. Cham: Springer. doi:10.1007/978-3-319-11879-6_19.
   Google Scholar
• Boyd, D., and K. Crawford. 2012. “Critical Questions for Big Data: Provocations for a Cultural, Technological, and Scholarly Phenomenon.” Information, Communication and Society 15 (5): 662–679. doi:10.1080/1369118X.2012.678878.
   Web of Science ®Google Scholar
• Capineri, C. 2016. “Kilburn High Road Revisited.” Urban Planning 1 (2): 128–140. doi:10.17645/up.v1i2.614.
   Web of Science ®Google Scholar
• Chen, Y., J. R. Parkins, and K. Sherren. 2018. “Using Geo-Tagged Instagram Posts to Reveal Landscape Values around Current and Proposed Hydroelectric Dams and Their Reservoirs.” Landscape and Urban Planning 170 (2018): 283–292. doi: 10.1016/j.landurbplan.2017.07.004.
   Google Scholar
• Chesnokova, O., M. Nowak, and R. S. Purves. 2017. “A Crowdsourced Model of Landscape Preference.” LIPIcs-Leibniz International Proceedings in Informatics 86 (19): 1–13. doi:10.4230/LIPIcs.COSIT.2017.19.
   Google Scholar
• Chu, Z., S. Gianvecchio, H. Wang, and S. Jajodia. 2010. “Who Is Tweeting on Twitter.” In Proceedings of the 26th Annual Computer Security Applications Conference on - ACSAC ’10, 21–30. New York: ACM Press. doi:10.1145/1920261.1920265.
   Google Scholar
• Coates, R. A. 2006. “Properhood.” Language 82 (2): 356–382. doi:10.1353/lan.2006.0084.
   Web of Science ®Google Scholar
• Compton, R., D. Jurgens, and D. Allen. 2014. “Geotagging One Hundred Million Twitter Accounts with Total Variation Minimization.” In 2014 IEEE International Conference on Big Data (Big Data), 393–401. IEEE. doi:10.1109/BigData.2014.7004256.
   Google Scholar
• Crandall, D. J., L. Backstrom, D. Huttenlocher, and J. Kleinberg. 2009. “Mapping the World’s Photos.” In Proceedings of the 18th International Conference on World Wide Web - WWW ’09, 761–771. New York: ACM Press. doi:10.1145/1526709.1526812.
   Google Scholar
• Davies, J. 2007. “Display, Identity and the Everyday: Self-Presentation through Online Image Sharing.” Discourse: Studies in the Cultural Politics of Education 28 (4): 549–564. doi:10.1080/01596300701625305.
   Google Scholar
• Derungs, C., and R. S. Purves. 2016. “Characterising Landscape Variation through Spatial Folksonomies.” Applied Geography 75 (2018): 60–70. doi: 10.1016/j.apgeog.2016.08.005.
   Google Scholar
• Dey, A. K. 2001. “Understanding and Using Context.” Personal and Ubiquitous Computing 5 (1): 4–7. doi:10.1007/s007790170019.
   Web of Science ®Google Scholar
• Di Minin, E., H. Tenkanen, and T. Toivonen. 2015. “Prospects and Challenges for Social Media Data in Conservation Science.” Frontiers in Environmental Science 3: 1–6. doi:10.3389/fenvs.2015.00063.
   Web of Science ®Google Scholar
• Dittrich, A., D. Richter, and C. Lucas. 2015. “Analysing the Usage of Spatial Prepositions in Short Messages.” In Progress in Location-Based Services 2014, edited by G. Gartner and H. Huang, 153–169. Cham: Springer. doi:10.1007/978-3-319-11879-6_11.
   Google Scholar
• Dunkel, A. 2015. “Visualizing the Perceived Environment Using Crowdsourced Photo Geodata.” Landscape and Urban Planning 142: 173–186. doi:10.1016/j.landurbplan.2015.02.022.
   Web of Science ®Google Scholar
• Edwardes, A. J., and R. S. Purves. 2007. “A Theoretical Grounding for Semantic Descriptions of Place.” In International Symposium on Web and Wireless Geographical Information Systems, 106–120. Berlin: Springer.
   Google Scholar
• Farrelly, G. 2014. “Irreplaceable: The Role of Place Information in a Location Based Service.” Journal of Location Based Services 8 (2): 123–132. doi:10.1080/17489725.2013.879217.
   Google Scholar
• Fisher, P., and D. Unwin. 2005. “Re-presenting geographical information systems.” In Re–presenting GIS, edited by Peter Fisher and David Unwin, 1-17. London: John Wiley & Sons.
   Google Scholar
• Gao, S., K. Janowicz, G. McKenzie, and L. Li. 2013. “Towards Platial Joins and Buffers in Place-Based GIS.” Comp@ Sigspatial (2013): 42–49.
   Google Scholar
• Gao, S., K. Janowicz, D. R. Montello, Y. Hu, J. Yang, G. McKenzie, Y. Ju, L. Gong, B. Adams, and B. Yan. 2017. “A Data-Synthesis-Driven Method for Detecting and Extracting Vague Cognitive Regions.” International Journal of Geographical Information Science 31 (6): 1–27. doi:10.1080/13658816.2016.1273357.
   Web of Science ®Google Scholar
• Gasparetti, F. 2017. “Personalization and Context-Awareness in Social Local Search: State-Of-The-Art and Future Research Challenges.” Pervasive and Mobile Computing 38 (2): 446–473. doi:10.1016/j.pmcj.2016.04.004.
   Google Scholar
• Gliozzo, G., N. Pettorelli, and M. Haklay. 2016. “Using Crowdsourced Imagery to Detect Cultural Ecosystem Services: A Case Study in South Wales, UK.” Ecology and Society 21: 3. doi:10.5751/ES-08436-210306.
   Web of Science ®Google Scholar
• Go, A., R. Bhayani, and L. Huang. 2009. “Twitter Sentiment Classification Using Distant Supervision.” Processing 150: 1–6. doi:10.1016/j.sedgeo.2006.07.004.
   Google Scholar
• Graham, M., S. Hale, and M. Stephens. 2012. “Featured Graphic: Digital Divide: The Geography of Internet Access.” Environment and Planning A 44 (5): 1009–1010. doi:10.1068/a44497.
   Web of Science ®Google Scholar
• Graham, M., B. Hogan, R. K. Straumann, and A. Medhat. 2014. “Uneven Geographies of User-Generated Information: Patterns of Increasing Informational Poverty Uneven Geographies of Knowledge.” Annals of the Association of American Geographers 104 (4): 746–764. doi:10.1080/00045608.2014.910087.
   Web of Science ®Google Scholar
• Hahmann, S., R. S. Purves, and D. Burghardt. 2014. “Twitter Location (Sometimes) Matters: Exploring the Relationship between Georeferenced Tweet Content and Nearby Feature Classes.” Journal of Spatial Information Science 9 (9): 1–36.
   Google Scholar
• Hauthal, E., and D. Burghardt. 2013. “Detection, Analysis and Visualisation of Georeferenced Emotions.” In Proceedings of the 26th International Cartographic Conference (ICC 2013), edited by M. F. Buchroithner, 47. Dresden: International Cartographic Association.
   Google Scholar
• Hobel, H., P. Fogliaroni, and A. U. Frank. 2016. “Deriving the Geographic Footprint of Cognitive Regions.” In Lecture Notes in Geoinformation and Cartography: Geospatial Data in a Changing World, edited by T. Sarjakoski, M. Santos, and L. Sarjakoski, 67–84. Cham: Springer. doi:10.1007/978-3-319-33783-8_5.
   Google Scholar
• Hollenstein, L., and R. S. Purves. 2010. “Exploring Place through User-Generated Content: Using Flickr to Describe City Cores.” Journal of Spatial Information Science 1 (1): 21–48. doi:10.5311/JOSIS.2010.1.3.
   Google Scholar
• Hong, L., G. Convertino, and E. H. Chi. 2011. “Language Matters in Twitter : A Large Scale Study.” In Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media, 518–521. Barcelona: AAAI Press.
   Google Scholar
• Huang, H. 2016. “Context-Aware Location Recommendation Using Geotagged Photos in Social Media.” ISPRS International Journal of Geo-Information 5 (11): 195. doi:10.3390/ijgi5110195.
   Web of Science ®Google Scholar
• Janowicz, K., M. Raubal, and W. Kuhn. 2011. “The Semantics of Similarity in Geographic Information Retrieval.” Journal of Spatial Information Science 2: 29–57. doi:10.5311/JOSIS.2011.2.3.
   Google Scholar
• Jenkins, A., A. Croitoru, A. T. Crooks, and A. Stefanidis. 2016. “Crowdsourcing a Collective Sense of Place.” PloS One 11 (4): 1–20. Edited by T. Preis. doi: 10.1371/journal.pone.0152932.
   Web of Science ®Google Scholar
• Jordan, T., M. Raubal, B. Gartrell, and M. Egenhofer. 1998. “An Affordance-Based Model of Place in GIS.” 8th International Symposium on Spatial Data Handling, SDH 98: 98–109.
   Google Scholar
• Jorgensen, B. S., and R. C. Stedman. 2001. “Sense of Place as an Attitude: Lakeshore Owners Attitudes towards Their Properties.” Journal of Environmental Psychology 21 (3): 233–248. doi:10.1006/jevp.2001.0226.
   Web of Science ®Google Scholar
• Keßler, C., J. Krzysztof, and B. Mohamed. 2009. “An Agenda for the Next Generation Gazetteer: Geographic Information Contribution and Retrieval.” In Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS ‘09), 91–100. New York: ACM Press. doi: 10.1145/1653771.1653787.
   Google Scholar
• Kim, J., M. Vasardani, and S. Winter. 2017. “Similarity Matching for Integrating Spatial Information Extracted from Place Descriptions.” International Journal of Geographical Information Science 31 (1): 56–80. doi:10.1080/13658816.2016.1188930.
   Web of Science ®Google Scholar
• Kõivumägi, E., M. Vait, A. Hadachi, G. Singer, and E. Vainikko. 2015. “Real Time Movement Labelling of Mobile Event Data.” Journal of Location Based Services 9 (1): 55–76. doi:10.1080/17489725.2015.1032377.
   Web of Science ®Google Scholar
• Kurashima, T., T. Iwata, G. Irie, and K. Fujimura. 2010. “Travel Route Recommendation Using Geotags in Photo Sharing Sites.” In Proceedings of the 19th ACM International Conference on Information and Knowledge Management, 579–588. New York, NY: ACM. doi:10.1145/1871437.1871513.
   Google Scholar
• Kwak, H., C. Lee, H. Park, and S. Moon. 2010. “What Is Twitter, a Social Network or a News Media?” In Proceedings of the 19th International Conference on World Wide Web - WWW ’10, 591–600. New York: ACM Press. doi:10.1145/1772690.1772751.
   Google Scholar
• Lansley, G., and P. A. Longley. 2016. “The Geography of Twitter Topics in London.” Computers, Environment and Urban Systems 58 (2016): 85–96. doi:10.1016/j.compenvurbsys.2016.04.002.
   Google Scholar
• Lim, K. H., K. E. Lee, D. Kendal, L. Rashidi, E. Naghizade, S. Winter, and M. Vasardani 2018. “The Grass Is Greener on the Other Side: Understanding the Effects of Green Spaces on Twitter User Sentiments.” In Companion of the The Web Conference 2018 on The Web Conference 2018, 275–282. Republic and Canton of Geneva: International World Wide Web Conferences Steering Committee.
   Google Scholar
• Mckenzie, G., and B. Adams. 2017. “Juxtaposing Thematic Regions Derived from Spatial and Platial User-Generated Content.” In Leibniz International Proceedings in Informatics (Lipics), edited by E. Clementini, M. Donnelly, M. Yuan, C. Kray, P. Fogliaroni, and A. Ballatore, 1–13. Dagstuhl: Schloss Dagstuhl–Leibniz-Zentrum fuer Informatik. doi:10.4230/LIPIcs.COSIT.2017.20.
   Google Scholar
• McKenzie, G., K. Janowicz, S. Gao, J. Yang, and Y. Hu. 2015. “POI Pulse: A Multi-Granular, Semantic Signature–Based Information Observatory for the Interactive Visualization of Big Geosocial Data.” Cartographica: the International Journal for Geographic Information and Geovisualization 50 (2): 71–85. doi:10.3138/cart.50.2.2662.
   Google Scholar
• Mountain, D., and A. MacFarlane. 2007. “Geographic Information Retrieval in a Mobile Environment: Evaluating the Needs of Mobile Individuals.” Journal of Information Science 33 (5): 515–530. doi:10.1177/0165551506075333.
   Web of Science ®Google Scholar
• Nguyen, D., R. Gravel, D. Trieschnigg, and T. Meder. 2013. “How Old Do You Think I Am?: A Study of Language and Age in Twitter.” In Proceedings of the Seventh International AAAI Conference on Weblogs and Social Media, 439–448. Palo Alto, CA: AAAI Press.
   Google Scholar
• Nussbaum, D., M. T. Omran, and J. R. Sack. 2017. “Maintaining Anonymity Using -Privacy.” Journal of Location Based Services 11 (1): 1–28. doi:10.1080/17489725.2017.1363419.
   Web of Science ®Google Scholar
• Poslad, S. 2001. “CRUMPET: Creation of User-Friendly Mobile Services Personalised for Tourism.” In Second International Conference on 3G Mobile Communication Technologies (3G 2001), 28–32. IEEE. doi:10.1049/cp:20010006.
   Google Scholar
• Prelipcean, A. C., F. Schmid, and T. Shirabe. 2015. “A Space Time Alarm.” In Progress in Location-Based Services 2014. Lecture Notes in Geoinformation and Cartography, edited by G. Gartner and H. Huang, 187–198. Cham: Springer. doi:10.1007/978-3-319-11879-6_13.
   Google Scholar
• Relph, E. 1976. Place And Placelessness. London: Pion.
   Google Scholar
• Resch, B., A. Summa, P. Zeile, and M. Strube. 2016. “Citizen-Centric Urban Planning through Extracting Emotion Information from Twitter in an Interdisciplinary Space-Time-Linguistics Algorithm.” Urban Planning 1 (2): 114–127. doi:10.17645/up.v1i2.617.
   Web of Science ®Google Scholar
• Richter, D., M. Vasardani, L. Stirlng, K. Richter, and S. Winter. 2013. “Zooming In–Zooming Out Hierarchies in Place Descriptions.” In Progress in Location-Based Services. Lecture Notes in Geoinformation and Cartography, edited by J. M. Krisp, 339–355. Berlin: Springer. doi: 10.1007/978-3-642-34203-5_19.
   Google Scholar
• Richter, D., S. Winter, K. Richter, and L. Stirling. 2012. “How People Describe Their Place: Identifying Predominant Types of Place Descriptions.” In Proceedings of the 1st ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information - GEOCROWD ’12, 30–37. New York: ACM Press. doi:10.1145/2442952.2442959.
   Google Scholar
• Rosenkrans, G., and K. Myers. 2018. “Optimizing Location-Based Mobile Advertising Using Predictive Analytics.” Journal of Interactive Advertising 18 (1): 43–54. doi:10.1080/15252019.2018.1441080.
   Google Scholar
• Schlieder, C., T. Vögele, and A. Werner. 2001. “Location Modeling for Intentional Behavior in Spatial Partonomies.” In Proceedings of Ubicomp 2001: Workshop on “Location Modeling for Ubiquitous Computing”, 63–70.
   Google Scholar
• Shatford, S. 1986. “Analyzing the Subject of A Picture: A Theoretical Approach.” Cataloging and Classification Quarterly 6 (3): 39–62. doi:10.1300/J104v06n03_04.
   Google Scholar
• Shelton, T., A. Poorthuis, and M. Zook. 2015. “Social Media and the City: Rethinking Urban Socio-Spatial Inequality Using User-Generated Geographic Information.” Landscape and Urban Planning 142: 198–211. doi: 10.1016/j.landurbplan.2015.02.020.
   Web of Science ®Google Scholar
• Skupin, A. 2014. “Making A Mark: A Computational and Visual Analysis of One Researcher’s Intellectual Domain.” International Journal of Geographical Information Science 28 (6): 1209–1232. doi:10.1080/13658816.2014.906040.
   Web of Science ®Google Scholar
• Twaroch, F. A., R. Purves, and C. Jones. 2009. “Stability of Qualitative Spatial Relations between Vernacular Regions Mined from Web Data.” In Proceedings of Workshop on Geographic Information on the Internet. Toulouse: Springer.
   Google Scholar
• Van Zanten, B. T., D. B. Van Berkel, R. K. Meentemeyer, J. W. Smith, K. F. Tieskens, and P. H. Verburg. 2016. “Continental-Scale Quantification of Landscape Values Using Social Media Data.” Proceedings of the National Academy of Sciences 113 (46): 12974–12979. doi:10.1073/pnas.1614158113.
   PubMed Web of Science ®Google Scholar
• Vasardani, M., S. Timpf, S. Winter, and M. Tomko. 2013. “From Descriptions to Depictions: A Conceptual Framework.” In International Conference on Spatial Information Theory, 299–319. Cham: Springer.
   Google Scholar
• Villegas, N. M., C. Sánchez, J. Díaz-Cely, and G. Tamura. 2018. “Characterizing Context-Aware Recommender Systems: A Systematic Literature Review.” Knowledge-Based Systems 140 (2018): 173–200. doi:10.1016/j.knosys.2017.11.003.
   Google Scholar
• Winter, S., and C. Freksa. 2012. “Approaching the Notion of Place by Contrast.” Journal of Spatial Information Science 5 (5): 31–50. doi:10.5311/JOSIS.2012.5.90.
   Google Scholar
• Wohlin, C. 2014. “Guidelines for Snowballing in Systematic Literature Studies and a Replication in Software Engineering.” In Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering - EASE ’14, 1–10. New York: ACM Press. doi:10.1145/2601248.2601268.
   Google Scholar
• Ye, M., D. Shou, W. C. Lee, P. Yin, and K. Janowicz. 2011. “On the Semantic Annotation of Places in Location-Based Social Networks.” In Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD ’11, 520–528. New York, NY: ACM. doi:10.1145/2020408.2020491.
   Google Scholar
• Zook, M., M. Graham, T. Shelton, and S. Gorman. 2010. “Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake.” World Medical and Health Policy 2 (2): 6–32. doi:10.2202/1948-4682.1069.
   Google Scholar