Collaborative Mapping and GIS

2010 ◽  
pp. 388-399 ◽  
Author(s):  
Edward Mac Gillavry
Keyword(s):  
Web Services ◽  
Mobile Devices ◽  
Real World ◽  
Information Infrastructure ◽  
Geographic Information ◽  
Web Technologies ◽  
Location Aware ◽  
Collaborative Mapping ◽  
Machine Readable ◽  
Complementary And Alternative

The collection and dissemination of geographic information has long been the prerogative of national mapping agencies. Nowadays, location-aware mobile devices could potentially turn everyone into a mapmaker. Collaborative mapping is an initiative to collectively produce models of real-world locations online that people can then access and use to virtually annotate locations in space. This chapter describes the technical and social developments that underpin this revolution in mapmaking. It presents a framework for an alternative geographic information infrastructure that draws from collaborative mapping initiatives and builds on established Web technologies. Storing geographic information in machine-readable formats and exchanging geographic information through Web services, collaborative mapping may enable the “napsterisation” of geographic information, thus providing complementary and alternative geographic information from the products created by national mapping agencies.

Collaborative Mapping and GIS

2013 ◽  
pp. 1231-1242 ◽  
Author(s):  
Edward Mac Gillavry
Keyword(s):  
Web Services ◽  
Mobile Devices ◽  
Real World ◽  
Information Infrastructure ◽  
Geographic Information ◽  
Web Technologies ◽  
Location Aware ◽  
Collaborative Mapping ◽  
Machine Readable ◽  
Complementary And Alternative

The collection and dissemination of geographic information has long been the prerogative of national mapping agencies. Nowadays, location-aware mobile devices could potentially turn everyone into a mapmaker. Collaborative mapping is an initiative to collectively produce models of real-world locations online that people can then access and use to virtually annotate locations in space. This chapter describes the technical and social developments that underpin this revolution in mapmaking. It presents a framework for an alternative geographic information infrastructure that draws from collaborative mapping initiatives and builds on established Web technologies. Storing geographic information in machine-readable formats and exchanging geographic information through Web services, collaborative mapping may enable the “napsterisation” of geographic information, thus providing complementary and alternative geographic information from the products created by national mapping agencies.

Collaborative Mapping and GIS

2011 ◽  
pp. 103-120 ◽  
Author(s):  
Edward Mac Gillavry
Keyword(s):  
Web Services ◽  
Mobile Devices ◽  
Real World ◽  
Information Infrastructure ◽  
Geographic Information ◽  
Web Technologies ◽  
Location Aware ◽  
Collaborative Mapping ◽  
Machine Readable ◽  
Complementary And Alternative

The collection and dissemination of geographic information has long been the prerogative of national mapping agencies. Nowadays, location-aware mobile devices could potentially turn everyone into a mapmaker. Collaborative mapping is an initiative to collectively produce models of real-world locations online that people can then access and use to virtually annotate locations in space. This chapter describes the technical and social developments that underpin this revolution in mapmaking. It presents a framework for an alternative geographic information infrastructure that draws from collaborative mapping initiatives and builds on established Web technologies. Storing geographic information in machine-readable formats and exchanging geographic information through Web services, collaborative mapping may enable the “napsterisation” of geographic information, thus providing complementary and alternative geographic information from the products created by national mapping agencies.

scholarly journals ArcGIS: Importance for Engineers

2020 ◽  
Author(s):  
Utsav Poudel
Keyword(s):  
Web Services ◽  
Information Sharing ◽  
Real World ◽  
Information Model ◽  
Geographic Information ◽  
The Real ◽  
Geographic Data ◽  
Integrated Software

ArcGIS is an extensive and integrated software developed by ESRI to work with map andgeographic information. It is used for creating and using maps, compiling geographic data,analyzing mapped information, sharing and discovering geographic information, using maps, andgeographic information in a range of applications, and managing geographic information in adatabase. ArcGIS comprises four key software parts: a geographic information model formodeling aspects of the real world; components for storing and managing geographicinformation in files and databases; a set of out-of-the-box applications for creating, editing,manipulating, mapping, analyzing and disseminating geographic information; and a collectionof web services that provide content and capabilities (data and functions) to networkedsoftware clients. It can be used in mobile, laptop, desktop, and servers. It was released initiallyon December 27, 1999.

The Design, Implementation and Use of Web-Technologies to Facilitate Knowledge Sharing: A `Real-World' Application

2002 ◽  
Author(s):  
Janel H. Rogers ◽  
Heather M. Ooak ◽  
Ronald A. Moorre ◽  
M. G. Averett ◽  
Jeffrey G. Morrison
Keyword(s):  
Knowledge Sharing ◽  
Real World ◽  
Web Technologies ◽  
Real World Application

Rough set based classification of real world Web services

2014 ◽  
Vol 17 (6) ◽  
pp. 1301-1311 ◽  
Author(s):  
Hala S. Own ◽  
Hamdi Yahyaoui
Keyword(s):  
Web Services ◽  
Rough Set ◽  
Real World

scholarly journals Fingerprinting Mobile Devices Using Personalized Configurations

2016 ◽  
Vol 2016 (1) ◽  
pp. 4-19 ◽  
Author(s):  
Andreas Kurtz ◽  
Hugo Gascon ◽  
Tobias Becker ◽  
Konrad Rieck ◽  
Felix Freiling
Keyword(s):  
Supervised Learning ◽  
Mobile Devices ◽  
Real World ◽  
Third Party ◽  
Learning Approach ◽  
Total Accuracy ◽  
Over Time

Abstract Recently, Apple removed access to various device hardware identifiers that were frequently misused by iOS third-party apps to track users. We are, therefore, now studying the extent to which users of smartphones can still be uniquely identified simply through their personalized device configurations. Using Apple’s iOS as an example, we show how a device fingerprint can be computed using 29 different configuration features. These features can be queried from arbitrary thirdparty apps via the official SDK. Experimental evaluations based on almost 13,000 fingerprints from approximately 8,000 different real-world devices show that (1) all fingerprints are unique and distinguishable; and (2) utilizing a supervised learning approach allows returning users or their devices to be recognized with a total accuracy of 97% over time

Tracking of Wearable IoT Devices Through WAP Using Intelligent Rule-Based Location Aware Approach

2021 ◽  
Vol 20 (Supp01) ◽  
pp. 2140005
Author(s):  
L. Sai Ramesh ◽  
S. Shyam Sundar ◽  
K. Selvakumar ◽  
S. Sabena
Keyword(s):  
Mobile Devices ◽  
Task Completion ◽  
End User ◽  
Access Points ◽  
The Public ◽  
Location Aware ◽  
Unique Identity ◽  
Iot Devices ◽  
Public Environment ◽  
Specific Scenario

Usage of the internet is increasing in the daily life of humans due to the need for speedy task completion for their daily services. Most of the living time is spent in some indoor environment which provides WiFi which is the basic need of internet connectivity using Wireless Access Points (WAP). Nowadays, most of the devices are IoT-based ones, which connect with the outer world through the access points in the existing environment. The wearable IoT devices may be misplaced somewhere and we need a specific scenario which helps to identify the misplaced mobile devices based on access points where they are connected by their unique identity such as MAC address. Most of the time, unrestricted WiFi access provided in the public environment is used by the end-user. In that scenario, the tracking of misplaced mobile devices is creating an issue when the WiFi is in switch-off mode. This paper proposes a technique for tracking a mobile device by using a location-aware approach with KNN and intelligent rules by tracking the channel accessed by the user to find the misplaced path by examining the device connected WAP positions.

scholarly journals The Strategies for Strengthening National Geographic Information Infrastructure in Nepal

2010 ◽  
pp. 51-58
Author(s):  
Nab Raj Subedi
Keyword(s):  
Evaluation Research ◽  
National Policy ◽  
Information Infrastructure ◽  
Geographic Information ◽  
Geospatial Data ◽  
Successful Implementation ◽  
Lead Agency ◽  
Data Infrastructure ◽  
National Geographic ◽  
Policy Statements

Nepal has already initiated the National Geographic Information Infrastructure activities (NGII). For a successful implementation of a National Geospatial Data Infrastructure (NGDI), there is a need for a national policy that will provide the necessary guidelines, identify various committees to be responsible for the various aspects of the NGDI (such as standards, custodianship, sharing and partnership) and provide issues that are acting as the constraints against the take off of the NGDI. The issues must be discussed at a forum where all the stakeholders would meet to discuss on the various issues in the draft policy prior to the approval. There is also a need for an agency to be the lead agency in the development of a NGDI, for which the prevalent NGIIP can be given authority to act as a coordinator until the formation of the National Geographic Information Council. This paper highlights that each stakeholder organization must have certain strategies that work in resonance with broad SDI strategies that perform NGII development and proposes its mission, vision and some general policy statements for the development of SDI activities in Nepal. Some goals and corresponding strategies identified as an outcome of recently held evaluation research on NGII has been provided as an aid for its development.

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