scholarly journals Domain-specific Trust for Context-aware BDI Agents - Preliminary Work

2018 ◽  
Author(s):  
Arthur Casals ◽  
Eduardo Fermé ◽  
Anarosa A. F. Brandão
Keyword(s):  
Context Aware ◽  
Bdi Agents ◽  
Domain Specific ◽  
Preliminary Work

Automated Context Formalization for Context-aware Specification Approach

2018 ◽  
Vol 9 (3) ◽  
pp. 23-47
Author(s):  
Amel Benabbou ◽  
Safia Nait-Bahloul
Keyword(s):  
Environmental Conditions ◽  
Use Cases ◽  
Domain Specific Language ◽  
Context Aware ◽  
Effective Technique ◽  
Specific Language ◽  
Requirement Specification ◽  
Domain Specific ◽  
High Level ◽  
Formal Requirements

Requirement specification is a key element in model-checking verification. The context-aware approach is an effective technique for automating the specification of requirement considering specific environmental conditions. In most of existing approaches, there is no support of this crucial task and are mainly based on the considerable efforts and expertise of engineers. A domain-specific language, called CDL, has been proposed to facilitate the specification of requirement by formalizing contexts. However, the feedback has shown that manually writing CDL is hard, error prone and difficult to grasp on complex systems. In this article, the authors propose an approach to automatically generate CDL models using (IODs) elaborated through transformation chains from textual use cases. They offer an intermediate formalism between informal use cases scenarios and CDL models allowing to engineers to manipulate with familiar artifacts. Thanks to such high-level formalism, the gap between informal and formal requirements is reduced; consequently, the requirement specification is facilitated.

A domain-specific language for context modeling in context-aware systems

2013 ◽  
Vol 86 (11) ◽  
pp. 2890-2905 ◽  
Author(s):  
José R. Hoyos ◽  
Jesús García-Molina ◽  
Juan A. Botía
Keyword(s):  
Domain Specific Language ◽  
Context Aware ◽  
Context Modeling ◽  
Specific Language ◽  
Domain Specific

Context-Aware Web Service Clustering and Visualization

2020 ◽  
Vol 17 (4) ◽  
pp. 32-54
Author(s):  
Banage T. G. S. Kumara ◽  
Incheon Paik ◽  
Yuichi Yaguchi
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Discovery ◽  
Search Space ◽  
Context Aware ◽  
Specific Context ◽  
Web Service Discovery ◽  
Domain Specific ◽  
Clustering Approach ◽  
Service Clustering

With the large number of web services now available via the internet, web service discovery has become a challenging and time-consuming task. Organizing web services into similar clusters is a very efficient approach to reducing the search space. A principal issue for clustering is computing the semantic similarity between services. Current approaches do not consider the domain-specific context in measuring similarity and this has affected their clustering performance. This paper proposes a context-aware similarity (CAS) method that learns domain context by machine learning to produce models of context for terms retrieved from the web. To analyze visually the effect of domain context on the clustering results, the clustering approach applies a spherical associated-keyword-space algorithm. The CAS method analyzes the hidden semantics of services within a particular domain, and the awareness of service context helps to find cluster tensors that characterize the cluster elements. Experimental results show that the clustering approach works efficiently.

A Context-Aware Distributed Protocol for Updating BDI Agents Abilities

2018 ◽  
pp. 243-256
Author(s):  
Hichem Baitiche ◽  
Mourad Bouzenada ◽  
Djamel Eddine Saidouni ◽  
Youcef Berkane ◽  
Hichem Chama
Keyword(s):  
Context Aware ◽  
Bdi Agents ◽  
Distributed Protocol

scholarly journals Context-Aware Feature Attention Model for Coreference Resolution on Biomedical Texts

2021 ◽  
Author(s):  
Yufei Li ◽  
Xiangyu Zhou ◽  
Jie Ma ◽  
Xiaoyong Ma ◽  
Chen Li
Keyword(s):  
Information Integration ◽  
Superior Performance ◽  
Specific Information ◽  
Coreference Resolution ◽  
Context Aware ◽  
Attention Model ◽  
Fine Grained ◽  
Domain Specific ◽  
Feature Attention ◽  
Biomedical Texts

Abstract Background: Bio-entity Coreference resolution is an important task to gain a complete understanding of biomedical texts automatically. Previous neural network-based studies on this topic are domain system based methods which rely on some domain-specific information integration. However, for the identical mentions, this may lead to misleading information, as the model tends to get similar or even identical representations, which further leads to wrongful predictions. Results: we propose a new context-aware Feature Attention model to distinguish identical mentions effectively to better resolve coreference. The new model can represent identical mentions based on different contexts by adaptively exploiting features effectively. The proposed model substantially outperforms the state-of-the-art baselines on the BioNLP dataset with a 64.0% F1 score and further demonstrates superior performance on the differential representation and coreferential link of identical mentions. Conclusion: The context-aware Feature Attention model adaptively exploit features and represent identical mentions according to different contexts, which significantly makes the system obtain semantic information effectively and make more accurate predictions. Considering that this approach is still limited when context information is insufficient, we expect to utilize such information more fine-grained with the help of the external knowledge base in coreference resolution.

Creating, Debugging, and Testing Mobile Applications with the IPAC Application Creation Environment

2012 ◽  
pp. 341-364
Author(s):  
Kostas Kolomvatsos ◽  
George Valkanas ◽  
Petros Patelis ◽  
Stathes Hadjiefthymiades
Keyword(s):  
Embedded Systems ◽  
Software Development ◽  
Programming Languages ◽  
Context Aware ◽  
Mobile Nodes ◽  
Description Language ◽  
Domain Specific Languages ◽  
Specific Domain ◽  
Domain Specific ◽  
Important Challenge

An important challenge in software development is to have efficient tools for creating, debugging, and testing software components developed for specific business domains. This is more imperative if it is considered that a large number of users are not familiar with popular programming languages. Hence, Application Creation Environments (ACEs) based on specific Domain-Specific Languages (DSLs) can provide an efficient way for creating applications for a specific domain of interest. The provided ACEs should incorporate all the functionality needed by developers to build, debug, and test applications. In this chapter, the authors present their contribution in this domain based on the experience of the IPAC system. The IPAC system provides a middleware and an ACE for developing and using intelligent, context-aware services in mobile nodes. The chapter fully describes the ACE, which is a key part of the overall architecture. The ACE provides two editors (textual, visual), a wide functionality spectrum, as well as a debugger and an application emulator. The ACE is based on an Application Description Language (ADL) developed for IPAC. The ADL provides elements for the description of an application workflow for embedded systems. Through such functionality, developers are capable of efficiently creating and testing applications that will be deployed on mobile nodes.

Creating, Debugging, and Testing Mobile Applications with the IPAC Application Creation Environment

2014 ◽  
pp. 695-718
Author(s):  
Kostas Kolomvatsos ◽  
George Valkanas ◽  
Petros Patelis ◽  
Stathes Hadjiefthymiades
Keyword(s):  
Embedded Systems ◽  
Software Development ◽  
Programming Languages ◽  
Context Aware ◽  
Mobile Nodes ◽  
Description Language ◽  
Domain Specific Languages ◽  
Specific Domain ◽  
Domain Specific ◽  
Important Challenge

An important challenge in software development is to have efficient tools for creating, debugging, and testing software components developed for specific business domains. This is more imperative if it is considered that a large number of users are not familiar with popular programming languages. Hence, Application Creation Environments (ACEs) based on specific Domain-Specific Languages (DSLs) can provide an efficient way for creating applications for a specific domain of interest. The provided ACEs should incorporate all the functionality needed by developers to build, debug, and test applications. In this chapter, the authors present their contribution in this domain based on the experience of the IPAC system. The IPAC system provides a middleware and an ACE for developing and using intelligent, context-aware services in mobile nodes. The chapter fully describes the ACE, which is a key part of the overall architecture. The ACE provides two editors (textual, visual), a wide functionality spectrum, as well as a debugger and an application emulator. The ACE is based on an Application Description Language (ADL) developed for IPAC. The ADL provides elements for the description of an application workflow for embedded systems. Through such functionality, developers are capable of efficiently creating and testing applications that will be deployed on mobile nodes.

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