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Linked Data for Volunteered Geographic Services: Developing Location-based Solutions

This research explores the development of a linked data-driven location-based service (VGS) focusing on collaborative data creation, mobile applications, and social interactions. By shifting the focus from data collection to collaboration, this study delves into the role of VGS in various real-world applications like crowdsourcing, emergency management, and volunteer efforts in global events. The implementation of a prototype VGS system in four steps, including a linked data model and a VGS service bus, lays the foundation for future advancements in this field. The research also discusses technical challenges and potential research problems to be addressed, such as spam prevention and location-aware trust models.

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Linked Data for Volunteered Geographic Services: Developing Location-based Solutions

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  1. Volunteered Geographic Services: Developing a Linked Data Driven Location-based Service 1, 4, 6 The Pennsylvania State University, 2 UC Santa Barbara, 3 Clark University, 5 University of Munster Alexander Savelyev1, Krzysztof Janowicz2, Jim Thatcher3, Sen Xu4, Christoph Mulligann5, Wei Luo6

  2. VGS at Work

  3. Related Work Crowdsourcing in the wild Everyday applications (Airbnb, Avego, Yelp) Emergency management (CrisisCommons, Ushahidi) Volunteered Geographic Information One of the many applications of crowdsourcing Focus on collaborative data creation and management Shift towards analysis of social interaction Volunteer effort in Haiti Role in the events of Arab Spring

  4. Motivation for VGS Focus on collaboration instead of data collection In traditional VGI, volunteers collect and share data, whereas only sanctioned, authoritative parties formulate and address specific tasks. Linked Data adopted as the main paradigm Flexibility is the recipe for success. Generic request-offer messaging bus aims to address diverse user communities. Explicit support for mobile applications The Mobile Semantic Web is in its early stage of development. Established APIs, ontologies, and best practice guidelines for mobile applications are lacking.

  5. Prototype Implementation A prototype VGS system implemented in four steps: • Design of a Linked Data model Generic model for handling of the key VGS concepts. • Implementation of a VGS Service Bus Server-side mechanisms for storage and query of data. • Implementation of Triploid API Client-side application for transparent processing of RDF statements. • Implementation of a VGS Client Android-based VGS application.

  6. Linked Data Model

  7. Implementation: Service Bus Service Bus* goals: • Collect, store, and organize Actions. • Support spatial, temporal and thematic queries. • Provide auxiliary services. * “service” as in “helpful act”

  8. Implementation: Client

  9. Implementation: Client

  10. Limitations and Future Work Technical problems to be solved: • Support for ontologies “on the go” is still in the works • GeoSPARQL standard is yet to be released Research problems to be investigated: • Vulnerability to spam and fraud • Location-aware trust and reputation model Code is available at: http://vgs.svn.sourceforge.net/viewvc/vgs/

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