In this paper, within the scope of optimizing location prediction systems and in line with the Ontology Design Pattern technique, we propose a way to encapsulate the user's transient experience when visiting locations into n-ary relational objects, which we call Location-Specific Cognitive Frames
In this paper we outline work in progress related to the construction of contextually aware pervasiv...
Context-awareness is viewed as one of the most important aspects in the emerging pervasive computing...
Purpose – Modern handheld devices provided with localization capabilities can create a diary of the ...
In this work, we investigate the performance of Markov Chains with respect to modelling semantic tra...
With the rise in the Internet of Things (IOT), mobile devices and Location-Based Social Network (LBS...
To tackle the problem of representing places we need to consider what people know and ask about them...
Navigating to a human target is underexposed in the current literature. However, there are cases whe...
Communication devices are establishing themselves as ubiquitous features of users' daily life. This ...
Location prediction systems that attempt to determine the mobility patterns of individuals in their ...
Our prediction model is based on the development of “Semantic Location Model.” It embodies geometric...
Our prediction model is based on the development of “Semantic Location Model. ” It embodies geometri...
While much research exists on resolving spatial natural language references to known locations, litt...
While much research exists on resolving spatial natural lan-guage references to known locations, lit...
Location prediction has attracted much attention due to its important role in many location-based se...
Location-aware computing is a type of pervasive computing that utilizes user-s location as a dominan...
In this paper we outline work in progress related to the construction of contextually aware pervasiv...
Context-awareness is viewed as one of the most important aspects in the emerging pervasive computing...
Purpose – Modern handheld devices provided with localization capabilities can create a diary of the ...
In this work, we investigate the performance of Markov Chains with respect to modelling semantic tra...
With the rise in the Internet of Things (IOT), mobile devices and Location-Based Social Network (LBS...
To tackle the problem of representing places we need to consider what people know and ask about them...
Navigating to a human target is underexposed in the current literature. However, there are cases whe...
Communication devices are establishing themselves as ubiquitous features of users' daily life. This ...
Location prediction systems that attempt to determine the mobility patterns of individuals in their ...
Our prediction model is based on the development of “Semantic Location Model.” It embodies geometric...
Our prediction model is based on the development of “Semantic Location Model. ” It embodies geometri...
While much research exists on resolving spatial natural language references to known locations, litt...
While much research exists on resolving spatial natural lan-guage references to known locations, lit...
Location prediction has attracted much attention due to its important role in many location-based se...
Location-aware computing is a type of pervasive computing that utilizes user-s location as a dominan...
In this paper we outline work in progress related to the construction of contextually aware pervasiv...
Context-awareness is viewed as one of the most important aspects in the emerging pervasive computing...
Purpose – Modern handheld devices provided with localization capabilities can create a diary of the ...
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