Agent-based architecture for context-aware and personalized event recommendation

Neves, Ana Régia de M.; Carvalho, Álvaro Marcos G.; Ralha, Célia Ghedini

doi:10.1016/j.eswa.2013.07.081

Cited by 43 publications

(17 citation statements)

References 31 publications

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“…Different agents can be combined in a so called Multi-Agent System (MAS), in order to solve problems that are more difficult or impossible to achieve for an individual agent or system. The approach has been acknowledged as a promising in C-AS development by some authors [63] [163]. As an example, Murukannaiah and Singh [164] present Xipho, an agent oriented methodology that assists the developer in systematically modelling a context-aware personal agent (CPA) via cognitive constructs.…”

Section: Emerging Programming Paradigmsmentioning

confidence: 99%

Engineering context-aware systems and applications: A survey

Alegre

Augusto

Clark

2016

Journal of Systems and Software

181

137

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Context-awareness is an essential component of systems developed in areas like Intelligent Environments, Pervasive & Ubiquitous Computing and Ambient Intelligence. In these emerging fields, there is a need for computerized systems to have a higher understanding of the situations in which to provide services or functionalities, to adapt accordingly. The literature shows that researchers modify existing engineering methods in order to better fit the needs of context-aware computing. These efforts are typically disconnected from each other and generally focus on solving specific development issues. We encourage the creation of a more holistic and unified engineering process that is tailored for the demands of these systems. For this purpose, we study the state-of-the-art in the development of context-aware systems, focusing on: A) Methodologies for developing context-aware systems, analysing the reasons behind their lack of adoption and features that the community wish they can use; B) Context-aware system engineering challenges and techniques applied during the most common development stages; C) Context-aware systems conceptualization.

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Section: Emerging Programming Paradigmsmentioning

confidence: 99%

Engineering context-aware systems and applications: A survey

Alegre

Augusto

Clark

2016

Journal of Systems and Software

181

137

View full text Add to dashboard Cite

show abstract

“…The ontology is used as a formal language for inferring information for both patients and people interested in knowing more about the medical rehabilitation. Similar to this work but but applied to another domain is the work introduced by Neves et al (Neves et al, 2014). In this case, the ontology is used not only as common language for managing information but also for guaranteeing the personalization depending on the environment and the users' preferences.…”

Section: Discussionmentioning

confidence: 99%

Modeling an ontology on accessible evacuation routes for emergencies

Onorati

Malizia

Dı́az

et al. 2014

Expert Systems with Applications

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Abstract. Providing alert communication in emergency situations is vital to reduce the number of victims. However, this is a challenging goal for researchers and professionals due to the diverse pool of prospective users, e.g. people with disabilities as well as other vulnerable groups. Moreover, in the event of an emergency situation, many people could become vulnerable because of exceptional circumstances such as stress, an unknown environment or even visual impairment (e.g. fire causing smoke).Within this scope, a crucial activity is to notify affected people about safe places and available evacuation routes. In order to address this need, we propose to extend an ontology, called SEMA4A (Simple EMergency Alert 4 [for] All), developed in a previous work for managing knowledge about accessibility guidelines, emergency situations and communication technologies. In this paper, we introduce a semi-automatic technique for knowledge acquisition and modeling on accessible evacuation routes. We introduce a use case to show applications of the ontology and conclude with an evaluation involving several experts in evacuation procedures.

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“…Neves, Carvalho and Ralha [33] propose an architectural solution based on ontology and the spreading algorithm that offers personalized and contextualized event recommendations in the university domain. They use an ontology to define the domain knowledge model and the spreading activation algorithm to learn user patterns through discovery of user interests.…”

Section: B Seco Architecture and Conceptmentioning

confidence: 99%

A Semantic Metadata Enrichment Software Ecosystem based on Metadata and Affinity Models

Brisebois¹,

Abran²,

Nadembéga³

2017

IJITCS

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Abstract-Information systems need to be more flexible and to allow users to find content related to their context and interests. Metadata harvesting and metadata enrichments could represent a way to help users to find content and events according to their interests. However, metadata are underused and represents an interoperability challenge. This paper presents a new framework, called SMESE, and the implementation of its prototypes that consists of its semantic metadata model, a mapping ontology model and a user interest affinity model. This proposed framework makes these models interoperable with existing metadata models.SMESE also proposes a decision support process supporting the activation and deactivation of software features related to metadata. To consider context variability into account in modeling context-aware properties, SMESE makes use of an autonomous process that exploits context information to adapt software behavior using an enhanced metadata framework. When the user chooses preferences in terms of system behavior, the semantic weight of each feature is computed. This weight quantifies the importance of the feature for the user according to their interests. This paper also proposed a semantic metadata analysis ecosystem to support data harvesting according to a metadata model and a mapping ontology model. Data harvesting is coupled with internal and external enrichments. The initial SMESE prototype represents more than 400 millions of relationships (triplets). To conclude, this paper also presents the design and implementation of different prototypes of SMESE applied to digital ecosystems.Index Terms-Metadata, metadata enrichment, metadata model, ontology, semantic metadata enrichment, software ecosystem.

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Agent-based architecture for context-aware and personalized event recommendation

Cited by 43 publications

References 31 publications

Engineering context-aware systems and applications: A survey

Engineering context-aware systems and applications: A survey

Modeling an ontology on accessible evacuation routes for emergencies

A Semantic Metadata Enrichment Software Ecosystem based on Metadata and Affinity Models

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