{"title":"位置感知搜索引擎框架","authors":"A. Tabarcea, Najlah Gali, P. Fränti","doi":"10.1080/17489725.2017.1407001","DOIUrl":null,"url":null,"abstract":"Abstract Nowadays, a large part of the multimedia data on the Internet is generated with devices that automatically annotate them with location information However, free-form content on websites does not implicitly contain any geographical information. This is the biggest challenge for building a location-aware search engine. In this paper, we study how to extract location-aware information from the web. The key challenges are to detect location from a web page and to extract relevant information related to that location. We detect locations by identifying postal addresses using freely available gazetteers. Additional information for summarising the search results are titles and representative images, which we mine from the content using simple rule-based approaches utilising the structure of web pages. This information can be used to personalise search results for mobile users so that the results are relevant to their location.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"11 1","pages":"50 - 74"},"PeriodicalIF":1.2000,"publicationDate":"2017-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2017.1407001","citationCount":"5","resultStr":"{\"title\":\"Framework for location-aware search engine\",\"authors\":\"A. Tabarcea, Najlah Gali, P. Fränti\",\"doi\":\"10.1080/17489725.2017.1407001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Nowadays, a large part of the multimedia data on the Internet is generated with devices that automatically annotate them with location information However, free-form content on websites does not implicitly contain any geographical information. This is the biggest challenge for building a location-aware search engine. In this paper, we study how to extract location-aware information from the web. The key challenges are to detect location from a web page and to extract relevant information related to that location. We detect locations by identifying postal addresses using freely available gazetteers. Additional information for summarising the search results are titles and representative images, which we mine from the content using simple rule-based approaches utilising the structure of web pages. This information can be used to personalise search results for mobile users so that the results are relevant to their location.\",\"PeriodicalId\":44932,\"journal\":{\"name\":\"Journal of Location Based Services\",\"volume\":\"11 1\",\"pages\":\"50 - 74\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2017-01-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/17489725.2017.1407001\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Location Based Services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/17489725.2017.1407001\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"TELECOMMUNICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Location Based Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/17489725.2017.1407001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
Abstract Nowadays, a large part of the multimedia data on the Internet is generated with devices that automatically annotate them with location information However, free-form content on websites does not implicitly contain any geographical information. This is the biggest challenge for building a location-aware search engine. In this paper, we study how to extract location-aware information from the web. The key challenges are to detect location from a web page and to extract relevant information related to that location. We detect locations by identifying postal addresses using freely available gazetteers. Additional information for summarising the search results are titles and representative images, which we mine from the content using simple rule-based approaches utilising the structure of web pages. This information can be used to personalise search results for mobile users so that the results are relevant to their location.
期刊介绍:
The aim of this interdisciplinary and international journal is to provide a forum for the exchange of original ideas, techniques, designs and experiences in the rapidly growing field of location based services on networked mobile devices. It is intended to interest those who design, implement and deliver location based services in a wide range of contexts. Published research will span the field from location based computing and next-generation interfaces through telecom location architectures to business models and the social implications of this technology. The diversity of content echoes the extended nature of the chain of players required to make location based services a reality.