scholarly journals PAVAL: A location-aware virtual personal assistant for retrieving geolocated points of interest and location-based services

2019 ◽  
Vol 77 ◽  
pp. 70-85 ◽  
Author(s):  
Lorenzo Massai ◽  
Paolo Nesi ◽  
Gianni Pantaleo
Keyword(s):  
Location Based Services ◽  
Location Aware ◽  
Points Of Interest ◽  
Personal Assistant

Information Management in Mobile Environments Using a Location-Aware Intelligent Agent System

2011 ◽  
pp. 1-17
Author(s):  
Amrish Vyas ◽  
Victoria Yoon
Keyword(s):  
Intelligent Agent ◽  
Location Based Services ◽  
Agent System ◽  
Content Dissemination ◽  
New Era ◽  
Location Aware ◽  
Spatio Temporal ◽  
Types Of Information ◽  
Push And Pull ◽  
User Location

Recent rise in the level of comfort and demand to access various types of information using mobile devices can be attributed to the advancements in wireless as well as Internet technologies. This demand leads us to the new era of mobile computing. Location-based services (LBS) are engendering new passion in mobile services utilizing users’ location information. Such spatio-temporal information processing entails the need for a dynamic middleware that accurately identifies changing user location and attaches dependent content in real-time without putting extra burden on users. Our work focuses on creating a distributed infrastructure suitable to support such scalable content dissemination. As a result this chapter offers a conceptual framework, location-aware intelligent agent system (LIA) in integration with publish/subscribe middleware to comprehensively address dynamic content dissemination and related issues. We discuss the operational form of our framework in terms of PUSH and PULL strategies.

scholarly journals Human Linguistic Perception of Distances for Location-Aware Systems

2019 ◽  
Vol 10 (2) ◽  
pp. 19-41
Author(s):  
Akeem Olowolayemo ◽  
Teddy Mantoro
Keyword(s):  
Comparative Analysis ◽  
Human Cognition ◽  
Location Information ◽  
Navigation Systems ◽  
Linguistic Terms ◽  
Google Maps ◽  
Location Aware ◽  
Points Of Interest ◽  
Linguistic Labels

Location referencing relative to landmarks or between two points of interest is often presented by navigation systems (e.g., GPS, Google Maps) in quantitative terms (e.g., 100m, 2km, etc.). However, humans refer to distances between points of interests in linguistic forms, such as very close, far, almost there, nearby, etc. When location information is presented to humans in quantitative terms, they often reprocess the quantities into linguistic terms and articulate it in linguistic labels because quantitative articulations are not directly in line with the natural human cognition. Therefore, this research seeks to evaluate the possibility of applying perceptive computing to reprocess quantitative location references from landmarks or two points of interest into linguistic labels easily understood by humans. A comparative analysis between the perception of quantitative distances and similar physical distances in an environment familiar to the subjects has been carried out, and there is a clear disparity between the perceptions in these two contexts.

scholarly journals Developing a Data Model of Indoor Points of Interest to Support Location-Based Services

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Alexis Richard C. Claridades ◽  
Jiyeong Lee
Keyword(s):  
Spatial Data ◽  
Data Model ◽  
Unified Modeling Language ◽  
Location Based Services ◽  
Accurate Information ◽  
Indoor Location ◽  
Unified Modeling ◽  
Points Of Interest ◽  
Sample Data ◽  
Indoor Spaces

Focus on indoor spatial applications has been rising with the growing interest in indoor spaces. Along with the widespread use of mobile devices and the internet, it has increased demands for indoor location-based services (LBS), demanding more efficient representation and management of indoor spatial data. Indoor points of interest (Indoor POI) data, representing both spaces and facilities located indoors, provide the infrastructure for these services. These datasets are vital in delivering timely and accurate information to users, such as in cases of managing indoor facilities. However, even though there are studies that explore its use across applications and efforts exerted towards the standardization of the data model, most POI development studies have focused on the outdoors and remain underdeveloped in the indoors. In this paper, we propose a spatial-temporal Indoor POI data model to provide direction for the establishment of indoor POI data and to address limitations in currently available data specifications. By exploring how different Indoor POIs are from its outdoor counterparts, particularly on extending its outdoor counterparts’ functions on searching, sharing, and labeling, we describe the data model and its components using the Unified Modeling Language (UML). We perform an SQL-based query experiment to demonstrate the potential use of the data model using sample data.

Essential Technologies for Location-Aware Mobile, Online Map Prefetching, and Caching

2012 ◽  
pp. 303-323
Author(s):  
Wen-Chen Hu ◽  
Naima Kaabouch ◽  
Lei Chen ◽  
Ming Yang
Keyword(s):  
Power Consumption ◽  
Location Based Services ◽  
Transmission Time ◽  
Mobile Users ◽  
Handheld Computing ◽  
Battery Power ◽  
Location Aware ◽  
Tile System ◽  
First In First Out

Map navigation is one of the most popular applications used by mobile users. At the same time, it is also one of the time- and resource-consuming applications. Various methods such as most-recently used and first-in, first-out algorithms are used to reduce the map transmission time and delay. One of the popular methods is online mobile map prefetching and caching. However, the mobility and location features of mobile users are usually left out by these methods. Caching and prefetching maps based on a mobile user’s location would greatly reduce the transmission time and hence the battery power consumption. For example, if a user is visiting a town, prefetching the maps of nearby interesting stores and caching the maps of the visited, neighboring landmarks would help the user’s visitation experience and save the transmission time. Online mobile map prefetching or caching is useful, but is not widely employed because it involves several different subjects and developers usually are not familiar with all of them. This chapter intends to relieve the problem by introducing essential technologies for online mobile map prefetching and caching so more developers can start working on this kind of project or research. It consists of four themes: (1) green handheld computing, (2) location-based services and programming, (3) map tile system, and (4) location-aware map prefetching and caching methods. A summary is given at the end of this chapter.

scholarly journals An Improved HMM-Based Approach for Planning Individual Routes Using Crowd Sourcing Spatiotemporal Data

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6938
Author(s):  
Tao Wu ◽  
Zhixuan Zeng ◽  
Jianxin Qin ◽  
Longgang Xiang ◽  
Yiliang Wan
Keyword(s):  
Road Network ◽  
Rapid Development ◽  
Location Based Services ◽  
Spatiotemporal Data ◽  
Crowd Sourcing ◽  
Public Preferences ◽  
Model Method ◽  
Points Of Interest ◽  
The Individual

With the rapid development of LBSs (location-based services) in recent years, researchers have increasingly taken an interest in trying to make travel routes more practicable and individualized. Despite the fact that many studies have been conducted on routes using LBS data, the specific routes are deficient in dynamic scalability and the correlations between environmental constraints and personal choices have not been investigated. This paper proposes an improved HMM-based (hidden Markov model) method for planning personalized routes with crowd sourcing spatiotemporal data. It tries to integrate the dynamic public preferences, the individual interests and the physical road network space in the same spatiotemporal framework, ensuring that reasonable routes will be generated. A novel dual-layer mapping structure has been proposed to bridge the gap from brief individual preferences to specific entries of POIs (points-of-interest) inside realistic road networks. A case study on Changsha city has proven that the proposed method can not only flexibly plan people’s travel routes under different spatiotemporal backgrounds but also is close to people’s natural selection by the perception of the group.

scholarly journals Location-aware systems or location-based services: a survey with applications to CoViD-19 contact tracking

2020 ◽  
Vol 6 (4) ◽  
pp. 191-214
Author(s):  
H. R. Schmidtke
Keyword(s):  
Business Models ◽  
Privacy Preserving ◽  
Fundamental Rights ◽  
Location Based Services ◽  
Location Awareness ◽  
Web Based ◽  
Location Aware ◽  
Share Data ◽  
Contact Tracking ◽  
Key Steps

Abstract With the CoViD-19 pandemic, location awareness technologies have seen renewed interests due to the numerous contact tracking mobile application variants developed, deployed, and discussed. For some, location-aware applications are primarily a producer of geospatial Big Data required for vital geospatial analysis and visualization of the spread of the disease in a state of emergency. For others, comprehensive tracking of citizens constitutes a dangerous violation of fundamental rights. Commercial web-based location-aware applications both collect data and—through spatial analysis and connection to services—provide value to users. This value is what motivates users to share increasingly private and comprehensive data. The willingness of users to share data in return for services has been a key concern with web-based variants of the technology since the beginning. With a focus on two privacy preserving CoViD-19 contact tracking applications, this survey walks through the key steps of developing a privacy preserving context-aware application: from types of applications and business models, through architectures and privacy strategies, to representations.

Quantifying and visualizing language diversity of Hong Kong using Twitter

2017 ◽  
Vol 49 (12) ◽  
pp. 2698-2701
Author(s):  
Naizhuo Zhao ◽  
Guofeng Cao
Keyword(s):  
Social Media ◽  
Hong Kong ◽  
Real World ◽  
Diversity Index ◽  
Location Based Services ◽  
Language Diversity ◽  
Important Indicator ◽  
Geographic Space ◽  
Location Aware ◽  
Fine Resolution

The wide penetration of location-aware mobile devices and location-based services renders the location-based social media as a reliable proxy to study the real-world geographic space. Language diversity is an important indicator of a city's internationalization level. People communicate using different languages in the cyberspace of social media as they do in the geographic space. The location-based social media therefore provides an innovative set of lens to map the language diversity and study the internationalization of cities. In the enclosed graphics, based on a collection of geo-tagged Twitter posts, we generated a fine resolution map of language diversity index in the area of Hong Kong to illustrate the potential of location-based social media in city research.

Location-Aware Mobile Media and Advertising

2016 ◽  
pp. 201-218
Author(s):  
Mei Wu ◽  
Qi Yao
Keyword(s):  
Mobile Communication ◽  
Detailed Examination ◽  
Location Based Services ◽  
Mobile Technologies ◽  
Location Awareness ◽  
Information Propagation ◽  
Mobile Media ◽  
Location Aware ◽  
Modern Technologies

Location-Based Services (LBS) that are combined with ubiquitous smartphones usher in a new form of information propagation: Location-Based Advertising (LBA). Modern technologies enable mobile devices to generate and update location information automatically, which facilitates marketers to launch various types of location-aware advertising and promotional services to users who are in the vicinity. This chapter conceptualizes location-aware mobile communication as the locative and mobile media with a McLuhan's notion of retrieve of “locality” in the “networked” space of information flows, and examines the current dilemma faced by LBA in China through a case study. It first defines location-aware mobile technologies and influences such media afford for location-aware advertising and information propagation. It then provides an overview of the development of LBS and LBA in China. A case study of the LBA app “SBK” further offers a detailed examination how new models of advertising are developed with the technical affordances of location awareness, sociability, and spatiality. The chapter concludes with a discussion on the constraints and potential of LBA in China.

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