Swarm systems have received increasing research attention in recent years and they can be found in many application areas as diverse as unmanned vehicle formation systems, multi-robot systems, sensor networks, etc. Reliability and safety are important issues in swarm systems, which can be improved by the fault diagnosis technology. In this paper, recent development of fault diagnosis algorithms for swarm systems is reviewed. The description of swarm systems is given, followed by characteristics of faults in swarm systems. Specially, faults in swarm systems are classified into topology faults and component faults. Then fault diagnosis algorithms for swarm systems are classified according to their architectures, fault types and approaches, respectively. Finally, several unsolved problems of fault diagnosis algorithms for swarm systems are highlighted.

https://www.tandfonline.com/doi/pdf/10.1080/21642583.2013.873745

A survey of fault diagnosis for swarm systems

Web services based on a service-oriented architecture framework provide a suitable technical foundation for business process management and integration. A business process can be composed of a set of Web services that belong to different companies and interact with each other by sending messages. Web service orchestration languages are deﬁned by standard organizations to describe business processes composed of Web services. A business process can fail for many reasons, such as faulty Web services or mismatching messages. It is important to ﬁnd out which Web services are responsible for a failed business process because we could penalize these Web services and exclude them from the business process in the future. In this paper, we propose a model-based approach to diagnose the faults in a Web service-composed business process. We convert a Web service orchestration language, more speciﬁcally BPEL4WS, into synchronized automata, so that we have a formal description of the topology and variable dependency of the business process. After an exception is thrown, the diagnoser can calculate the business process execution trajectory based on the formal model and the observed evolution of the business process. The faulty Web services are deduced from the variable dependency on the execution trajectory. We demonstrate our diagnosis technique with an example.

/pdf/a-model-based-approach-for-diagnosing-fault-in-web-service-50l60ql7hr.pdf

A Model-based Approach for Diagnosing Fault in Web Service Processes

http://www.di.unito.it/~liliana/EC/CWS05.pdf

Adaptive Medical Workflow Management for a Context-Dependent Home Healthcare Assistance Service

\n In order to develop novel solutions for complex systems and in increasingly competitive markets, it may be advantageous to generate large numbers of design concepts and then to identify the most novel and valuable ideas. However, it can be difficult to process, review, and assess thousands of design concepts. Based on this need, we develop and demonstrate an automated method for design concept assessment. In the method, machine learning technologies are first applied to extract ontological data from design concepts. Then, a filtering strategy and quantitative metrics are introduced that enable creativity rating based on the ontological data. This method is tested empirically. Design concepts are crowd-generated for a variety of actual industry design problems/opportunities. Over 4000 design concepts were generated by humans for assessment. Empirical evaluation assesses: (1) correspondence of the automated ratings with human creativity ratings; (2) whether concepts selected using the method are highly scored by another set of crowd raters; and finally (3) if high scoring designs have a positive correlation or relationship to industrial technology development. The method provides a possible avenue to rate design concepts deterministically. A highlight is that a subset of designs selected automatically out of a large set of candidates was scored higher than a subset selected by humans when evaluated by a set of third-party raters. The results hint at bias in human design concept selection and encourage further study in this topic.

Machine Learning-Based Design Concept Evaluation

New trends on e-Procurement applying semantic technologies: Current status and future challenges

Distributed software systems would benefit from autonomous fault management capabilities, but current practice is only based on handling exceptions without attempts at identifying causes for them. This paper is a step toward Web Services with autonomous diagnostic capabilities. It provides a novel context of application for modelbased diagnosis, a context which motivates a decentralized approach. We consider complex services, built as a composition of simpler ones, and we associate a diagnoser with each component service, and a global diagnoser with the complex one. We characterize local diagnosers, based on abstract models of individual services, and we present the coordination protocol adopted by the global diagnoser.

/pdf/cooperative-model-based-diagnosis-of-web-services-2oh11khir9.pdf

Cooperative Model-Based Diagnosis of Web Services

The e-collaboration tools available in open environments offer ser- vices supporting the interaction and the synchronization between users, who are typically involved in parallel activity spheres; e.g., different projects and home schedules. However, such tools provide the user's with separate views on her ac- tivities and collaborations; moreover, they support workspace awareness by de- livering unstructured notification streams, which challenge the user's attention and cannot be filtered or grouped on a relevance basis. As an answer to this issue, we present an Integrated Collaborative Environment offering a unified view of the user's parallel collaboration spheres. This environ- ment includes a notification management model supporting the selective deferral of notifications on the basis of the user's focus of attention.

/pdf/context-aware-notification-management-in-an-integrated-3jmwcyo4ib.pdf

Context-Aware Notification Management in an Integrated Collaborative Environment

Historical documentary heritage has a high potential for supporting citizens' awareness about their culture and identity. However, to exploit this potential, access tools are needed, which integrate data from heterogeneous sources and provide an effective user interaction. Moreover, historical archives can become a useful and attractive cultural resource, if they are exploited in popular contexts, like education and tourism: innovative ICT-based applications can employ documents, pictures, etc. to guide students and tourists in the discovery of interesting stories, connecting the present to the past, and providing a larger audience with a \"live\" access to original cultural heritage resources. In particular, we claim that this scenario can be enabled by providing ICT tools with a rich semantic layer, based on computational ontologies, in which the notions of event and role play a major role. Such a semantic layer can be further enriched by exploiting resources available in the Linked Open Data cloud.

/pdf/ontologies-and-historical-archives-a-way-to-tell-new-stories-2vj2lg83du.pdf

Ontologies and historical archives: A way to tell new stories

This article is a reasoned survey about the main roles of ontologies in the Web era. It starts by providing a background enabling the reader to understand what ontologies in Computer Science are. Then it shows the most meaningful uses of ontologies and discuss the role of inferences and reasoners about ontological knowledge. Once the decision to use semantic knowledge has been taken, next step is to find or build the suited ontology. To this purpose, the article shows how existing ontologies can be found and reused. Moreover, it presents some methodologies for building ontologies and some tools supporting ontology development. The last section highlights open issues related to reasoning mechanisms, ontology mapping, ontology evolution, and automatic ontology development. The main goal of this article is to provide the reader with a synthesis of the advantages and limitations that the usage of ontologies has in Computer Science, in order to enable her/him to take informed decisions concerning the exploitation of ontological knowledge within different kinds of projects.

What are Ontologies Useful For

This paper proposes a framework based on Service Oriented Architecture which integrates diagnostic services in the architecture of a composite service in order to improve the recovery from the occurring exceptions. Our framework supports a fine-grained selection of exception handlers suitable to repair the problem without modifying the basic mechanism offered by standard orchestration engines such as the WS-BPEL compliant ones.

/pdf/enhancing-web-service-composition-by-means-of-diagnosis-ktg4qq3exv.pdf

Annamaria Goy

Papers

Cooperative Model-Based Diagnosis of Web Services

Context-Aware Notification Management in an Integrated Collaborative Environment

Ontologies and historical archives: A way to tell new stories

What are Ontologies Useful For

Enhancing Web Service Composition by Means of Diagnosis