Reasoning about Models of Context. A Context-Oriented Logical Language for Knowledge-Based Context-Aware Applications

2008 ◽  
Vol 22 (5) ◽  
pp. 589-608 ◽  
Author(s):  
Hedda R Schmidtke ◽  
Dongpyo Hong ◽  
Woontack Woo
Keyword(s):  
Context Aware ◽  
Knowledge Based ◽  
Logical Language

Towards a knowledge-based probabilistic and context-aware social recommender system

2017 ◽  
Vol 44 (4) ◽  
pp. 464-490 ◽  
Author(s):  
Luis Omar Colombo-Mendoza ◽  
Rafael Valencia-García ◽  
Alejandro Rodríguez-González ◽  
Ricardo Colomo-Palacios ◽  
Giner Alor-Hernández
Keyword(s):  
Latent Dirichlet Allocation ◽  
Evaluation Method ◽  
Context Aware ◽  
Average Precision ◽  
Case Scenario ◽  
Similarity Metric ◽  
Knowledge Based ◽  
Context Modelling ◽  
Evaluation Metric ◽  
Partial Implementation

In this article, we propose (1) a knowledge-based probabilistic collaborative filtering (CF) recommendation approach using both an ontology-based semantic similarity metric and a latent Dirichlet allocation (LDA) model-based recommendation technique and (2) a context-aware software architecture and system with the objective of validating the recommendation approach in the eating domain (foodservice places). The ontology on which the similarity metric is based is additionally leveraged to model and reason about users’ contexts; the proposed LDA model also guides the users’ context modelling to some extent. An evaluation method in the form of a comparative analysis based on traditional information retrieval (IR) metrics and a reference ranking-based evaluation metric (correctly ranked places) is presented towards the end of this article to reliably assess the efficacy and effectiveness of our recommendation approach, along with its utility from the user’s perspective. Our recommendation approach achieves higher average precision and recall values (8% and 7.40%, respectively) in the best-case scenario when compared with a CF approach that employs a baseline similarity metric. In addition, when compared with a partial implementation that does not consider users’ preferences for topics, the comprehensive implementation of our recommendation approach achieves higher average values of correctly ranked places (2.5 of 5 versus 1.5 of 5).

scholarly journals Supporting Creative Mechanical Design

1994 ◽  
Author(s):  
Kun Sun ◽  
Boi Faltings
Keyword(s):  
Mechanical Design ◽  
Knowledge Bases ◽  
Creative Design ◽  
Knowledge Based Systems ◽  
Cad Systems ◽  
Knowledge Based ◽  
Logical Language ◽  
Promising Application ◽  
Qualitative Physics ◽  
And Function

Abstract Knowledge-based CAD systems limit designers’ creativity by constraining them to work with the prototypes provided by the systems’ knowledge bases. We investigate knowledge-based CAD systems capable of supporting creative designs in the example domain of elementary mechanisms. We present a technique based on qualitative explanations which allows a designer to extend the knowledge base by demonstrating a structure which implements a function in a creative way. Structure is defined as the geometry of the parts, and function using a general logical language based on qualitative physics. We argue that the technique can accommodate any creative design in the example domain, and we demonstrate the technique using an example of a creative design. The use of qualitative physics as a tool for extensible knowledge-based systems points out a new and promising application area for qualitative physics.

Context-Aware Mobile and Wearable Device Interfaces

2015 ◽  
pp. 308-321
Author(s):  
Claas Ahlrichs ◽  
Hendrik Iben ◽  
Michael Lawo
Keyword(s):  
Interaction Design ◽  
Interface Design ◽  
Wearable Computing ◽  
Wearable Devices ◽  
Future Research ◽  
Context Information ◽  
Context Aware ◽  
Knowledge Based ◽  
Input And Output ◽  
Recent Developments

In this chapter, recent research on context-aware mobile and wearable computing is described. Starting from the observation of recent developments on Smartphones and research done in wearable computing, the focus is on possibilities to unobtrusively support the use of mobile and wearable devices. There is the observation that size and form matters when dealing with these devices; multimodality concerning input and output is important and context information can be used to satisfy the requirement of unobtrusiveness. Here, Frameworks as middleware are a means to an end. Starting with an introduction on wearable computing, recent developments of Frameworks for context-aware user interface design are presented, motivating the need for future research on knowledge-based intuitive interaction design.

RecomMetz: A context-aware knowledge-based mobile recommender system for movie showtimes

2015 ◽  
Vol 42 (3) ◽  
pp. 1202-1222 ◽  
Author(s):  
Luis Omar Colombo-Mendoza ◽  
Rafael Valencia-García ◽  
Alejandro Rodríguez-González ◽  
Giner Alor-Hernández ◽  
José Javier Samper-Zapater
Keyword(s):  
Recommender System ◽  
Context Aware ◽  
Knowledge Based

scholarly journals The Inference System for Fault Diagnosis

2019 ◽  
Vol 11 (4) ◽  
Author(s):  
Yongeui Hong ◽  
Taewoo Lee ◽  
Kyoungdyuk Rho ◽  
Hyun-Seung Cha ◽  
Jonghyo Lee
Keyword(s):  
Information Processing ◽  
Fault Diagnosis ◽  
Prior Knowledge ◽  
Numerical Data ◽  
Inference System ◽  
Diagnosis System ◽  
Knowledge Based ◽  
Logical Language ◽  
Processing Level ◽  
Fault Diagnosis System

A knowledge-based fault diagnosis system uses prior knowledge and context knowledge for prediction to improve fault diagnosis performance. The proposed representative fault diagnosis system consists of three levels. With this structure, fault diagnosis can be flexibly performed even in a complicated environment. The three-level consists of the fault diagnosis level, the learning level, and the information processing level. The Fault diagnosis level is able to express the correlation by using the data obtained from the controller and diagnose the fault by logically inferring it. The learning level links the logical language perceived by humans and the numerical data processed by the computer, and keeps it consistent with the situation. The information processing level acquires the feature value required by the higher level in the candidate region among the numerous data obtained from the controller and sends it to the higher level. The proposed algorithm can effectively diagnosis faults by using additional prior knowledge and situation data.

scholarly journals A knowledge-based system approach for a context-aware system

2012 ◽  
Vol 27 ◽  
pp. 1-17 ◽  
Author(s):  
Nayat Sánchez-Pi ◽  
Javier Carbó ◽  
José Manuel Molina
Keyword(s):  
System Approach ◽  
Context Aware ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Context Aware System

Context-Aware Mobile and Wearable Device Interfaces

2018 ◽  
pp. 429-443
Author(s):  
Claas Ahlrichs ◽  
Hendrik Iben ◽  
Michael Lawo
Keyword(s):  
Interaction Design ◽  
Interface Design ◽  
Wearable Computing ◽  
Wearable Devices ◽  
Future Research ◽  
Context Information ◽  
Context Aware ◽  
Knowledge Based ◽  
Input And Output ◽  
Recent Developments

In this chapter, recent research on context-aware mobile and wearable computing is described. Starting from the observation of recent developments on Smartphones and research done in wearable computing, the focus is on possibilities to unobtrusively support the use of mobile and wearable devices. There is the observation that size and form matters when dealing with these devices; multimodality concerning input and output is important and context information can be used to satisfy the requirement of unobtrusiveness. Here, Frameworks as middleware are a means to an end. Starting with an introduction on wearable computing, recent developments of Frameworks for context-aware user interface design are presented, motivating the need for future research on knowledge-based intuitive interaction design.

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