GEOCROWD '12Pub Date : 2012-11-06DOI: 10.1145/2442952.2442960
R. Al-Salman, F. Dylla, P. Fogliaroni
{"title":"Matching geo-spatial information by qualitative spatial relations","authors":"R. Al-Salman, F. Dylla, P. Fogliaroni","doi":"10.1145/2442952.2442960","DOIUrl":"https://doi.org/10.1145/2442952.2442960","url":null,"abstract":"Current Geographic Information Systems (GISs) do not adequately allow users to query spatial databases by means of qualitative terms like left, near, or above. Hence, we propose a matching framework that enables users to formulate configurations in a spatial query in an intuitive and qualitative manner. Spatial queries are translated into the formal query language Structured Query Language (SQL) which is used to query and retrieve results from spatial databases. In order to demonstrate the applicability of our approach we developed the Bremen Tourists Advisor with the matching framework as prominent component. Finally, we conduct experiments in the BTA context which exhibit the efficiency of our framework.","PeriodicalId":132038,"journal":{"name":"GEOCROWD '12","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116934376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
GEOCROWD '12Pub Date : 2012-11-06DOI: 10.1145/2442952.2442955
Paras Mehta, A. Voisard
{"title":"Analysis of user mobility data sources for multi-user context modeling","authors":"Paras Mehta, A. Voisard","doi":"10.1145/2442952.2442955","DOIUrl":"https://doi.org/10.1145/2442952.2442955","url":null,"abstract":"Finding the right data source for research is a challenge that many of us face. Although we live in times where 'Open Data' and 'Big Data' have become buzzwords, getting hold of a reasonable size and quality dataset is often hard. When it comes to user data such as mobility data, this becomes even tougher due to privacy-related concerns. This paper briefly explains our research in the area of multi-user context modeling and presents some criteria that we believe are important while selecting a dataset for testing different approaches in this domain. To find the right dataset, some relevant publicly available human mobility datasets are examined using these criteria. The following are the datasets that have been analyzed: Microsoft Research GeoLife Trajectory Dataset, Tracking Delft I Pedestrian Trajectory Dataset, MIT Media Lab Reality Mining Dataset and LifeMap Dataset. Besides these, some other useful data sources for researchers have been cited.","PeriodicalId":132038,"journal":{"name":"GEOCROWD '12","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115568036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
GEOCROWD '12Pub Date : 2012-11-06DOI: 10.1145/2442952.2442964
S. Sheppard
{"title":"wq: a modular framework for collecting, storing, and utilizing experiential VGI","authors":"S. Sheppard","doi":"10.1145/2442952.2442964","DOIUrl":"https://doi.org/10.1145/2442952.2442964","url":null,"abstract":"We present \"wq\", an open-source framework for developing robust applications allowing volunteers to collect geographic information (VGI) in the field. Successful VGI applications been deployed in various contexts, but much of the effort that is put into common programming tasks cannot be re-used, often because the application code is too closely tied to the problem domain. User-friendly campaign authoring tools are being explored as ways to facilitate the rapid deployment of VGI applications, but many of these tools necessarily enforce a restricted vocabulary of interface elements and database models, limiting their usefulness for more complex VGI project workflows. In contrast, we propose a highly modular, open-source approach that enables reuse of general-purpose components created to facilitate common design patterns -- without enforcing any hard limitations on the database model or interface. The framework builds off of and extends numerous existing open-source projects and leverages open standards (e.g. HTML5), which means it will work across all popular mobile devices as well as desktop browsers. The ideas behind wq arose from our ongoing efforts to generalize an existing data collection application initially created for community-based stream quality monitoring. In this paper we justify the design decisions made in creating wq and suggest general principles that should be taken into consideration when designing systems for collecting, storing, and utilizing VGI.","PeriodicalId":132038,"journal":{"name":"GEOCROWD '12","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127262016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
GEOCROWD '12Pub Date : 2012-11-06DOI: 10.1145/2442952.2442959
D. Richter, S. Winter, Kai-Florian Richter, Lesley Stirling
{"title":"How people describe their place: identifying predominant types of place descriptions","authors":"D. Richter, S. Winter, Kai-Florian Richter, Lesley Stirling","doi":"10.1145/2442952.2442959","DOIUrl":"https://doi.org/10.1145/2442952.2442959","url":null,"abstract":"People communicate about locations using place descriptions. Despite the growth of mobile location- and context-aware applications, the automatic interpretation of place descriptions remains a challenge. Currently no software tools exist that are capable of understanding complex verbal spatial language. This paper explores a corpus of place descriptions collected through crowdsourcing mechanisms within a mobile game. It introduces a general classification scheme to annotate place descriptions according to different characteristic parameters and uses this scheme to demonstrate the existence of certain clusters of prevalent types of place descriptions in human communication. Research outcomes contribute to the common understanding of the way people refer to places, which is essential to support the development of intelligent tools and location based technologies.","PeriodicalId":132038,"journal":{"name":"GEOCROWD '12","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125247523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
GEOCROWD '12Pub Date : 2012-11-06DOI: 10.1145/2442952.2442962
K. Beard
{"title":"A semantic web based gazetteer model for VGI","authors":"K. Beard","doi":"10.1145/2442952.2442962","DOIUrl":"https://doi.org/10.1145/2442952.2442962","url":null,"abstract":"The recent and expanding phenomena of volunteered geographic information (VGI) have potential for building locally rich geographic knowledgebases. Volunteer contributions include a broad range of geographically associated content that has the potential to contribute to collective digital place knowledge, but contributions are scattered over the web with little to no common structure or formal metadata. This paper explores some organizing principles and a potential structure for integrating VGI. Characteristics of VGI suggest organization around features rather than layers, support for multiple representations that capture different contributor perspectives, and integration around the concept of place. A semantic web based gazetteer model that manages features, multiple representations of features, and varying levels of association of features to places is suggested as an integration framework. Semantics of the gazetteer and inference on these semantics provide support for integrating diverse VGI content around hierarchies of officially named places as starting points. Preliminary work illustrates the approach with samples of VGI data from Maine.","PeriodicalId":132038,"journal":{"name":"GEOCROWD '12","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125915968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
GEOCROWD '12Pub Date : 2012-11-06DOI: 10.1145/2442952.2442965
C. Kagoyire, R. A. By
{"title":"Models for professional cyclic activities in VGI with a case in coffee farming","authors":"C. Kagoyire, R. A. By","doi":"10.1145/2442952.2442965","DOIUrl":"https://doi.org/10.1145/2442952.2442965","url":null,"abstract":"We argue that an important class of applications of volunteered geographic information is that of professionals reporting on their work, where they did, and how the job was carried out. This is especially useful in the case where those professionals struggle to make a living, as in sub-Saharan agriculture. Conditions in non-mechanised agriculture are highly variable, and 'the local farmer' often operates with non-formalised but specialist understanding of these conditions, and how they need to be negotiated. VGI applications for such farmer communities may help to corroborate that knowledge, and have it fed back to the same communities for further exploitation.\u0000 Of special importance in these applications is the notion of repetitive or cyclic activity. In this paper, we present an extended formal framework for these and apply it to a conceptualisation of cyclic, on-farm activities in coffee farming, as typically occurring in sub-Saharan economies. We start by adopting a model of cyclic change to formalise our conceptualisation of on-farm activities, reaching the conclusion that the framework requires extension to allow capturing more of the activity semantics. A proposal is made for that extension, and it includes notions of subcyclic intervals and cyclic aggregations. We subsequently demonstrate these extensions with our conceptualised on-farm activities, and discuss what added functionality they bring to an online information system, under development, that aims to better inform coffee farmers of good practice at designated locations.","PeriodicalId":132038,"journal":{"name":"GEOCROWD '12","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129423210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
GEOCROWD '12Pub Date : 2012-11-06DOI: 10.1145/2442952.2442961
M. Vasardani, S. Winter, Kai-Florian Richter, Lesley Stirling, D. Richter
{"title":"Spatial interpretations of preposition \"at\"","authors":"M. Vasardani, S. Winter, Kai-Florian Richter, Lesley Stirling, D. Richter","doi":"10.1145/2442952.2442961","DOIUrl":"https://doi.org/10.1145/2442952.2442961","url":null,"abstract":"The current keyword- and substring matches-based retrieval methods most search engines rely on to answer spatial queries ignore the more specific interpretations of spatial relations. Moreover, the use of the general preposition \"at\" in natural language queries results in underspecified locations. This paper examines the use of \"at\" in a set of crowdsourced place descriptions and develops a methodology for interpreting \"at\" as one of the more location-specific, closely related spatial prepositions \"in\", \"on\", or \"by\". The application of suggested schemas in the paper enables the interpretation of \"at\" according to the granularity level and classification type of the spatial feature it refers to. The crowdsourced results show that most people use \"at\" to locate themselves either in relation to buildings, or to (naturally or artificially) bounded outdoor areas (at street level). When used with building level reference features, \"at\" is more likely to be interpreted as \"in\" the feature (mostly indoors) and less so \"by\" it. For reference features at street level, \"at\" is more likely to be interpreted as \"in\" the reference feature's region (within a bounded outdoor area) and less so \"on\" it (e.g., a water surface). The results indicate it is possible to use the proposed methodology for enabling search engines to better rank the results returned to natural language spatial queries by appropriately interpreting \"at\". The paper's research outcomes are an example of the use of crowdsourced information for improving the interaction between users and services.","PeriodicalId":132038,"journal":{"name":"GEOCROWD '12","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121671172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
GEOCROWD '12Pub Date : 2012-11-06DOI: 10.1145/2442952.2442954
Steven Van Canneyt, O. Laere, S. Schockaert, B. Dhoedt
{"title":"Using social media to find places of interest: a case study","authors":"Steven Van Canneyt, O. Laere, S. Schockaert, B. Dhoedt","doi":"10.1145/2442952.2442954","DOIUrl":"https://doi.org/10.1145/2442952.2442954","url":null,"abstract":"In this paper, we show how the large amount of geographically annotated data in social media can be used to complement existing place databases. After explaining our method, we illustrate how this approach can be used to discover new instances of a given semantic type, using London as a case study. In particular, for several place types, our method finds places in London that are not yet contained in the databases used by Foursquare, Google, LinkedGeoData and Geonames. Encouraged by these results, we briefly sketch how similar techniques could potentially be used to identify likely errors in existing databases, to estimate the spatial extent of places, to discover semantic relationships between place types, and to recommend tags to users who are uploading photos.","PeriodicalId":132038,"journal":{"name":"GEOCROWD '12","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121843670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
GEOCROWD '12Pub Date : 2012-11-06DOI: 10.1145/2442952.2442957
D. Deng, Tyng-Ruey Chuang, K. Shao, Guan-Shuo Mai, T. Lin, R. Lemmens, Cheng-Hsin Hsu, Hsu-Hong Lin, M. Kraak
{"title":"Using social media for collaborative species identification and occurrence: issues, methods, and tools","authors":"D. Deng, Tyng-Ruey Chuang, K. Shao, Guan-Shuo Mai, T. Lin, R. Lemmens, Cheng-Hsin Hsu, Hsu-Hong Lin, M. Kraak","doi":"10.1145/2442952.2442957","DOIUrl":"https://doi.org/10.1145/2442952.2442957","url":null,"abstract":"The emergence of social media enables people to interact with others on the web in ways that are media-rich (\"updates\" or \"posts\" can be text, photo, audio, video, etc), time-shifted (correspondence need not happen at once or within a pre-defined time frame), and social in nature. By utilizing social media, citizen science projects can potentially engage many participants to contribute their observations covering a large geographic region and over a long time period. This is an improvement, for example, over traditional biodiversity surveys which typically involve relatively few people in confined regions and periods.\u0000 As social media is not designed for scientific data collection and analysis, there is a problem in transferring unstructured information items (e.g. free-form text, unidentified images, etc.) often found in social media to structured data records for scientific tasks. To help bridge this gap, we propose an approach comprised of three steps: (1) Information Extraction, (2) Information Formalization, and (3) Information Reuse. We apply this approach to processing posts and comments from two Facebook interest groups on species observations. Our study demonstrates that with principled methods and proper tools, crowdsourced social media contents such as those from Facebook interest groups can be used for collaborative species identification and occurrence.","PeriodicalId":132038,"journal":{"name":"GEOCROWD '12","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121731249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
GEOCROWD '12Pub Date : 2012-11-06DOI: 10.1145/2442952.2442967
M. Damiani, Colette Cuijpers
{"title":"Privacy-aware geolocation interfaces for volunteered geography: a case study","authors":"M. Damiani, Colette Cuijpers","doi":"10.1145/2442952.2442967","DOIUrl":"https://doi.org/10.1145/2442952.2442967","url":null,"abstract":"The standard W3C Geolocation API can significantly facilitate geospatial data collection as it provides a simple set of operations for requesting geolocation services across indoor and outdoor spaces through the Web. Importantly, this API is privacy-aware in that it provides a basic privacy mechanism for requesting the user's consent to location acquisition. In this paper we address the question on whether this privacy mechanism is sufficient to conduct a project for the collection of geospatial content, in compliance with privacy laws. The question is of practical relevance as the use of geolocation standards in line with privacy regulations would make the development of volunteered geography projects easier. In this paper we present an interdisciplinary analysis spanning across technology and law, and driven by an application case. We show the limitations of this API and discuss a possible extension in line with privacy norms. Although we confine ourselves to consider European regulations, we believe that this study can be of more general concern.","PeriodicalId":132038,"journal":{"name":"GEOCROWD '12","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128083181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}