Toward a Domain-Independent Semantic Model for Context-Aware Computing

Bulcão-Neto, Renato de Freitas; Pimentel, Maria da Graça Campos

doi:10.1109/laweb.2005.43

Cited by 33 publications

(20 citation statements)

References 18 publications

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“…The Semantic Context Model (SeCoM), illustrated in Figure 1, represents the basic concepts of actors, location, time, devices, events and activities, and the relationships between these concepts [6]. We elected SeCoM to this study because it provides a set of OWL-based generic classes, properties, relations, and restrictions that applications can import and/or extend for particular domains.…”

Section: The Semantic Context Modelmentioning

confidence: 99%

Performance evaluation of inference services for ubiquitous computing

Neto¹,

Pimentel²

2006

Proceedings of the 12th Brazilian Symposium on Multimedia and the Web

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Considering the current efforts to deal with performance evaluation of ubiquitous computing services, we focus on evaluating a context inference service that can be configured according to applications' reasoning requirements. After detailing a performance evaluation of a context inference service with multiple inference engines over semantic context information, we discuss general reasoning-related issues that developers must take into account when building ontologybased ubiquitous applications.

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Section: The Semantic Context Modelmentioning

confidence: 99%

Performance evaluation of inference services for ubiquitous computing

Neto¹,

Pimentel²

2006

Proceedings of the 12th Brazilian Symposium on Multimedia and the Web

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“…Given that POCAp assumes that the building of context-aware applications is supported by both an ontological context model and a semantic-enabled software infrastructure, we first present the SeCoM model [7] and the SCK infrastructure [8]. We use both of them as input guidance artifacts, which are depicted as (g1) and (g2) documents in Figures 2 and 3, respectively.…”

Section: Using Secom and Sck As Guid-ance Artifactsmentioning

confidence: 99%

“…We use both of them as input guidance artifacts, which are depicted as (g1) and (g2) documents in Figures 2 and 3, respectively. Further information about SeCoM and SCK can be found in [7] and [8], respectively. Figure 4 depicts an overview of the SeCoM model [7], which provides OWL-based [4] generic classes, properties, relations, and axioms so that applications can import and/or extend for particular domains.…”

Section: Using Secom and Sck As Guid-ance Artifactsmentioning

confidence: 99%

“…Further information about SeCoM and SCK can be found in [7] and [8], respectively. Figure 4 depicts an overview of the SeCoM model [7], which provides OWL-based [4] generic classes, properties, relations, and axioms so that applications can import and/or extend for particular domains. SeCoM represents the concepts of actors, location, time, devices, events, and activities (dark ovals in Figure 4), as well as the relationships between these concepts (an arrow indicates when an ontology imports concepts from other ontology).…”

Section: Using Secom and Sck As Guid-ance Artifactsmentioning

confidence: 99%

“…The Process for Ontological Context-aware Applications (POCAp) assumes that context-aware applications are built using a services infrastructure capable of interpreting the semantics of context information provided by an underlying ontology-based context model. This paper presents how to instantiate the POCAp process for enabling the WebMemex [21] recommender system to exploit both the semantics of an OWL-based [4] context model [7] and a semantic-enabled services infrastructure [8]. WebMemex captures users' web browsing activity, logs the web pages visited, and allows users to recommend these pages to people of their social network (e.g.…”

Section: Introductionmentioning

confidence: 99%

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Using a software process for ontology-based context-aware computing

Neto¹,

Kudo²,

Pimentel³

2006

Proceedings of the 12th Brazilian Symposium on Multimedia and the Web

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While research in context-aware computing has produced useful results, few software engineering solutions for context-aware computing have been reported. Building upon concepts of the Semantic Web, the POCAp software process is an alternative towards supporting the development of ontology-based context-aware applications. In order to demonstrate the use of POCAp, we present a case study of a Web-based recommender system extended with an OWL-based context model and a semantic-enabled software infrastructure. Using POCAp, developers can take advantage of the organization and the dependence between POCAp activities, mainly from those intended to the application's context model as well as the services for processing that model.

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