สืบค้นงานวิจัย
Guided classification system for conceptual overlapping classes in OpenStreetMap
Ali A.L. - ไม่ระบุหน่วยงาน
ชื่อเรื่อง (EN): Guided classification system for conceptual overlapping classes in OpenStreetMap
ผู้แต่ง / หัวหน้าโครงการ (EN): Ali A.L.
บทคัดย่อ (EN): The increased development of Volunteered Geographic Information (VGI) and its potential role in GIScience studies raises questions about the resulting data quality. Several studies address VGI quality from various perspectives like completeness, positional accuracy, consistency, etc. They mostly have consensus on the heterogeneity of data quality. The problem may be due to the lack of standard procedures for data collection and absence of quality control feedback for voluntary participants. In our research, we are concerned with data quality from the classification perspective. Particularly in VGI-mapping projects, the limited expertise of participants and the non-strict definition of geographic features lead to conceptual overlapping classes, where an entity could plausibly belong to multiple classes, e.g., lake or pond, park or garden, marsh or swamp, etc. Usually, quantitative and/or qualitative characteristics exist that distinguish between classes. Nevertheless, these characteristics might not be recognizable for non-expert participants. In previous work, we developed the rule-guided classification approach that guides participants to the most appropriate classes. As exemplification, we tackle the conceptual overlapping of some grass-related classes. For a given data set, our approach presents the most highly recommended classes for each entity. In this paper, we present the validation of our approach. We implement a web-based application called Grass&Green that presents recommendations for crowdsourcing validation. The findings show the applicability of the proposed approach. In four months, the application attracted 212 participants from more than 35 countries who checked 2,865 entities. The results indicate that 89% of the contributions fully/partially agree with our recommendations. We then carried out a detailed analysis that demonstrates the potential of this enhanced data classification. This research encourages the development of customized applications that target a particular geographic feature. © 2016 by the authors; licensee MDPI, Basel, Switzerland.
บทคัดย่อ: ไม่พบข้อมูลจากหน่วยงานต้นทาง
ภาษา (EN): en
เอกสารแนบ (EN): https://www.scopus.com/inward/record.uri?eid=2-s2.0-85008950491&doi=10.3390%2fijgi5060087&partnerID=40&md5=42f27b8895ad6fc434f7e58b12a6499f
เผยแพร่โดย (EN): มหาวิทยาลัยมหิดล
คำสำคัญ (EN): Volunteered geographic information (VGI)
เจ้าของลิขสิทธิ์ (EN): มหาวิทยาลัยมหิดล
หากไม่พบเอกสารฉบับเต็ม (Full Text) โปรดติดต่อหน่วยงานเจ้าของข้อมูล

การอ้างอิง

Ali A.L.. "Guided classification system for conceptual overlapping classes in OpenStreetMap". ไม่ระบุหน่วยงาน. ม.ป.ป.

Ali A.L.. "Guided classification system for conceptual overlapping classes in OpenStreetMap". ไม่ระบุหน่วยงาน. ม.ป.ป.. Print.



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Guided classification system for conceptual overlapping classes in OpenStreetMap
Ali A.L.
มหาวิทยาลัยมหิดล
ไม่ระบุวันที่เผยแพร่
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