Context-aware Semantic Service Discovery

Suraci, Vincenzo; Mignanti, Silvano; Aiuto, A.

doi:10.1109/istmwc.2007.4299110

Cited by 42 publications

(15 citation statements)

References 8 publications

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“…Existing works [16,27,29] perform context-aware service discovery and selection based on how closely a user's request and the service description matches. The matching is usually done using a predefined ontology.…”

Section: Service Discovery and Selection In Ubiquitous Computing Systemsmentioning

confidence: 99%

Bootstrapped Discovery and Ranking of Relevant Services and Information in Context-aware Systems

Bhargava¹,

Lampton²,

Agrawala³

2015

Proceedings of the 12th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

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A context-aware system uses context to provide relevant information and services to the user, where relevancy depends on the user's situation. This relevant information could include a wide range of heterogeneous content. Many existing context-aware systems determine this information based on pre-defined ontologies or rules. In addition, they rely on users' context history to filter it. Moreover, they often provide domain-specific information. Such systems are not applicable to a large and varied set of user situations and information needs, and may suffer from cold start for new users. In this paper, we address these limitations and propose a novel, general and flexible approach for bootstrapped discovery and ranking of heterogeneous relevant services and information in context-aware systems. We design and implement four variations of a base algorithm that ranks candidate relevant services, and the information to be retrieved from them, based on the semantic relatedness between the information provided by the services and the user's situation description. We conduct a live deployment with 14 subjects to evaluate the efficacy of our algorithms. We demonstrate that they have strong positive correlation with human supplied relevance rankings and can be used as an effective means to discover and rank relevant services and information. We also show that our approach is applicable to a wide set of users' situations and to new users without requiring any user interaction history.

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Section: Service Discovery and Selection In Ubiquitous Computing Systemsmentioning

confidence: 99%

Bootstrapped Discovery and Ranking of Relevant Services and Information in Context-aware Systems

Bhargava¹,

Lampton²,

Agrawala³

2015

Proceedings of the 12th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

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“…The DAIDALOS (Designin Advancednetwork Interfaces for Delivery and Administration of Location Independent, Optimized personal Services) project [6] proposes to add a semantic layer to a traditional service location protocol (e.g., SLP or Jini). This semantic layer consists of: 1) an ontology where punctual characteristics of services are expressed, and 2) a contextual manager, which holds pointers to contextual sources (e.g., sensors) of the entities participating in the protocol.…”

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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“…The DAIDALOS (Designing Advanced network Interfaces for Delivery and Administration of Location independent, Optimized personal Services) project [8] proposes to add a semantic layer to a traditional SDP (e.g., SLP or Jini).…”

Section: B Frameworkmentioning

confidence: 99%

“…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%

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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Context-aware Semantic Service Discovery

Cited by 42 publications

References 8 publications

Bootstrapped Discovery and Ranking of Relevant Services and Information in Context-aware Systems

Bootstrapped Discovery and Ranking of Relevant Services and Information in Context-aware Systems

Ontology-Based Resource Discovery in Pervasive Collaborative Environments

An Ontological Model for Resource Sharing in Pervasive Environments

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