{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/an-empirical-study-on-the-names-of-points-of","title":"An empirical study on the names of points of interest and their changes with geographic distance","arxiv_id":"1806.08040","date":"2018-06-21","proceeding":null,"authors":["Yingjie Hu","Krzysztof Janowicz"],"abstract":"While Points Of Interest (POIs), such as restaurants, hotels, and barber\nshops, are part of urban areas irrespective of their specific locations, the\nnames of these POIs often reveal valuable information related to local culture,\nlandmarks, influential families, figures, events, and so on. Place names have\nlong been studied by geographers, e.g., to understand their origins and\nrelations to family names. However, there is a lack of large-scale empirical\nstudies that examine the localness of place names and their changes with\ngeographic distance. In addition to enhancing our understanding of the\ncoherence of geographic regions, such empirical studies are also significant\nfor geographic information retrieval where they can inform computational models\nand improve the accuracy of place name disambiguation. In this work, we conduct\nan empirical study based on 112,071 POIs in seven US metropolitan areas\nextracted from an open Yelp dataset. We propose to adopt term frequency and\ninverse document frequency in geographic contexts to identify local terms used\nin POI names and to analyze their usages across different POI types. Our\nresults show an uneven usage of local terms across POI types, which is highly\nconsistent among different geographic regions. We also examine the decaying\neffect of POI name similarity with the increase of distance among POIs. While\nour analysis focuses on urban POI names, the presented methods can be\ngeneralized to other place types as well, such as mountain peaks and streets.","url_abs":"http://arxiv.org/abs/1806.08040v1","url_pdf":"http://arxiv.org/pdf/1806.08040v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"an-empirical-study-on-the-names-of-points-of","repo_url":"https://github.com/YingjieHu/POI_Name","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"culture","task_name":"Cultural Vocal Bursts Intensity Prediction"},{"task_slug":"information-retrieval","task_name":"Information Retrieval"},{"task_slug":"retrieval","task_name":"Retrieval"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}