CA5W1HOnto: Ontological Context-Aware Model Based on 5W1H

Abstract

Ubiquitous computing is necessary to define models for broad contextual information arising out of surrounding environment. It also helps comprehend how to model a mechanism of selectively collecting useful pieces of contextual information and of providing relevant intelligent services. Further, studies are also required on how to process contextual information, its maintenance, and reasoning. However, current context-aware researches are still in need of modeling techniques reflecting ontological characteristics. As a result, it is impossible to effectively provide relevant intelligent services. They are limited as well in terms of contextual reasoning and interoperability across different pieces of contextual information. Aware of the issues, this study proposes an ontology-based context-aware modeling technique, along with a relevant framework, in order to enable efficient specification of contextual information and, thereby, further to provide intelligent context-aware services for context management and reasoning. Moreover, we mobilize the maxim of "five Ws and one H" to process physical and logical contextual information and to support our proposed technique. The maxim-applied modeling technique sets forth an intuitive context-aware schema and demonstrates high applicability to sharing and integration of contextual information. Meanwhile, the ontology-based modeling supports reasoning on contextual information and facilitates more intelligent and reliable services.

Context Aware Middleware Architectures: Survey and Challenges

“…Also, it can provide great help for users to identify the type of a given context before using it. As context could be categorized from different perspective, the list in Table 1 summarizes a few well-known forms of context classification given in the current literature [ 16 , 17 , 18 , 19 , 20 , 21 , 22 ].…”

Towards a Generic Context Model for BPM

“…There are many approaches that deal with context awareness in several areas, such as service engineering [14], [19], communications [6], [32], ubiquitous computing [34], multimedia [17] and business process engineering [5], [7], [40]. Several definitions of context have been proposed, however, there is no real consensus on the definition of this concept since it is used in many research fields.…”

“…Moreover in [17] a set of needs and goals related to the context ontology design are defined which are: -The simplicity: the terms used and the relationship should be as simple as possible in order to facilitate the developers' work.…”

CBDAC: Context-Based Dynamic Access Control Model Using Intuitive 5W1H for Ubiquitous Sensor Network

“…The following shows an example of DyAC based on scenario described above: (2) ac ← the attribute of predefined Access Condition (3) , is the identification number of attributes (4) while MAPPING(c , ac ) do (5) CHECK INTENDED GOAL COMPLIANCE(c , ac , ig) ( 6) if (c × ac ∈ AIG) then (7) return Grant Access (8) else if (c × ac ∈ CIG) then (9) CHECK CONDITION(c , ac ) (10) if ∀c ⊆ ac then (11) return Grant Access (12) else (13) return Deny Access (14) else if (c × ac ∈ PIG) then (15) return Deny Access Algorithm 1: Dynamic access decision by mapping between and AC. We implement the CBDAC model using Protégé [36,37].…”