scholarly journals Context-Matching Method as a Transformation Paradigm Between Position and Location Domains in Location-Based Services

2021 ◽  
Vol 1 (2) ◽  
pp. 23-25
Author(s):  
Oliver Jukić ◽  
Nenad Sikirica ◽  
Teodor Iliev ◽  
Darko Špoljar
Keyword(s):  
Information Processing ◽  
Location Based Services ◽  
Formal Description ◽  
Matching Method ◽  
Optimal Organization

A two-domain approach involving position and location has been introduced to provide a formal description needed for optimal organization of information processing for utilization in Location-Based Services development and operation. This paper proposes the transformation that connects the two domains (position and location), outlines its formal description, and validates the concept using the Context-Matching method as a paradigm.

Matching Subscription Over Geo-textual Streams from IoT via Social-Aware Clustering and Apache Flink

2021 ◽  
pp. 2150295
Author(s):  
Xiaohui Huang ◽  
Ze Deng ◽  
Lizhe Wang ◽  
Tao Liu ◽  
Chengyu Zhang
Keyword(s):  
Effective Means ◽  
Spatial Relationship ◽  
Location Based Services ◽  
Acceleration Process ◽  
Matching Method ◽  
Matching Process ◽  
Current Location ◽  
Cache Strategy ◽  
The Social ◽  
Speed Up

Current location-based services (LBS) continuously generate a massive amount of geo-message streams. The cluster-based subscription matching method is an effective means to feed subscribers with related geo-messages from geo-message streaming. However, current cluster-based subscription matching methods only consider the spatial relationship and textual relationship and ignore users’ social relationship. As a result, the matching results may not completely satisfy the requirements of users. In this paper, we proposed a social-aware subscription matching method by taking spatial, textual, and social factors into consideration. Then, we used a cache strategy and a Flink-based acceleration process to reduce the extra time overhead caused by computing the social relationships. A set of extensive experiments have been conducted on a real dataset. The experimental results indicate that our method improves the recall of matching results. Besides, the Flink-based acceleration process with caching can speed up the subscription matching process by a ratio of up to 3.299 compared with the state-of-the-art.

Language processing is not a race against time

2016 ◽  
Vol 39 ◽  
Author(s):  
Giosuè Baggio ◽  
Carmelo M. Vicario
Keyword(s):  
Information Processing ◽  
Human Brain ◽  
Language Processing ◽  
Cognitive Functions ◽  
Memory Systems ◽  
Language System ◽  
Moderating Factors

AbstractWe agree with Christiansen & Chater (C&C) that language processing and acquisition are tightly constrained by the limits of sensory and memory systems. However, the human brain supports a range of cognitive functions that mitigate the effects of information processing bottlenecks. The language system is partly organised around these moderating factors, not just around restrictions on storage and computation.

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