Semantic-based discovery to support mobile context-aware service access

Toninelli, Alessandra; Corradi, Antonio; Montanari, Rebecca

doi:10.1016/j.comcom.2007.12.026

Cited by 65 publications

(38 citation statements)

References 21 publications

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“…Several authors ( [7], [8]) have proposed to represent context information using ontologies. However, according to Najar et al, [13] most of the context representations are usercentric, remaining limited to physical aspects such as user location and device capabilities.…”

Section: Context Ontologymentioning

confidence: 99%

“…The Adaptable Intelligent Discovery of context-Aware Services (AIDAS) framework [7] offers contextual service discovery. The architecture of this framework includes a management set integrated by: a) a context manager, looking after changes in the environment; b) a profile matching engine, which compares service capabilities to the user's request; and c) a discovery manager, in charge of making the actual service match.…”

Section: B Frameworkmentioning

confidence: 99%

See 1 more Smart Citation

An Ontological Model for Resource Sharing in Pervasive Environments

García

Kirsch-Pinheiro

Mendoza

et al. 2013

2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)

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Abstract-Since over a decade ago, Service Discovery Protocols have been developed for applications to take advantages of services shared over networks. Each protocol provides a way for applications to ask for the type of services they need. In return, applications receive information about services that could fulfill their needs. However, such protocols do not supply enough support for dynamic environments involving interaction among persons, heterogenous computer devices, applications and files. Unlike applications, people expect to receive customized information about their identity, role, social relations, and even contextual variables (e.g., location). Thus, to provide a computational support that satisfies users' requirements in an accurate way, we clinch that up to date information about the current conditions of the environment and the entities involved in it is fundamental. In this paper, we tackle the lack of a descriptive technique for resource discovery by proposing a carefully designed ontological approach.

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Section: Context Ontologymentioning

confidence: 99%

Section: B Frameworkmentioning

confidence: 99%

An Ontological Model for Resource Sharing in Pervasive Environments

García

Kirsch-Pinheiro

Mendoza

et al. 2013

2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)

View full text Add to dashboard Cite

show abstract

“…They take into account the quality of contextual information in aggregating contextual information from different sources. [43], proposes a middleware-level approach to support user-centric semantic service discovery. This middleware, called AIDAS, exploits context-awareness based on user/device/service profile metadata to provide personalized views on services of interest, and supports semantic-based matchmaking between requested and offered service capabilities.…”

Section: Context-aware Approachesmentioning

confidence: 99%

Web Service Discovery Methods and Techniques: A Review

Pakari¹,

Kheirkhah²,

Jalali³

2014

IJCSEIT

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“…The Adaptable Intelligent Discovery of context-Aware Services (AIDAS) framework [8] offers contextual service discovery. AIDAS is integrated by three type of entities: 1) services, which represent applications available on the network; 2) users, which correspond to either humans or applications looking for a service and 3) devices, which refer to the computers (mobile devices mainly) used to access the system.…”

Section: Frameworkmentioning

confidence: 99%

Ontology-Based Resource Discovery in Pervasive Collaborative Environments

García

Kirsch-Pinheiro

Mendoza

et al. 2013

Lecture Notes in Computer Science

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Abstract-Most of the business, academic and even public environments (e.g., airports and malls) offer multiple services (e.g., flight and hotel reservation), hardware (e.g., printers, scanners and cameras) and software. However, it could be particularly difficult to take advantages of all these resources without a proper software support capable of finding resources that fulfill user's requirements. A user can be close to the resource he needs, but in a crowded and busy environment, it is highly probable that he would never find that resource without the help of a tool that discovers and locates it. To try to overcome this problem, multiple service discovery protocols (SDP) have been developed. Their main goal is to promote the use of network resources by offering some basic finding operations and by reducing configuration tasks. Unfortunately, most of these protocols are focused on providing support for software clients. They do not offer any suitable tools for describing resources for both publication and search. Consequently, users may waste their time making several queries with different parameters. In this paper, we tackle this issue by providing users means for semantically describing resources and their needs effortlessly. We propose an ontological approach to manage resources description. This proposal grants several advantages, such as organized storage of information and semantic-based knowledge retrieval through the use of reasoning tools. Finally, we also present a matchmaker proposal intended to find the best resource available for a user's request.

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Semantic-based discovery to support mobile context-aware service access

Cited by 65 publications

References 21 publications

An Ontological Model for Resource Sharing in Pervasive Environments

An Ontological Model for Resource Sharing in Pervasive Environments

Web Service Discovery Methods and Techniques: A Review

Ontology-Based Resource Discovery in Pervasive Collaborative Environments

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