Event notification services: analysis and transformation of profile definition languages

The integration of event information from diverse event notification sources is, as with meta-searching over heterogeneous search engines, a challenging task. Due to the complexity of profile definition languages, known solutions for heterogeneous searching cannot be applied for event notification. In this technical report, we propose transformation rules for profile rewriting. We transform each profile defined at a meta-service into a profile expressed in the language of each event notification source. Due to unavoidable asymmetry in the semantics of different languages, some superfluous information may be delivered to the meta-service. These notifications are then post-processed to reduce the number of spurious messages. We present a survey and classification of profile definition languages for event notification, which serves as basis for the transformation rules. The proposed rules are implemented in a prototype transformation module for a Meta-Service for event notification

Implementing an event-driven service-oriented architecture in TIP

Many mobile devices have a density of services, many of which are context or location-aware. To function, many of these services have to collaborate with other services, which may be located in many different places and networks. There is often more then on service suitable for the task at hand. To decide which service to use, quality of service measurements like the accuracy or reliability of a service need to be known. Users do not want third parties to have statistics on how and where they used services. Therefore the collaboration needs to be anonymous. This project implements a model of event-based context-aware service collaboration on a publish/subscribe basis. We compare different implementation designs, with focus on anonymity and quality of service of the services

A conceptual model of service exchange in service-dominant logic

The service system is the basic abstraction of Service Science. This paper proposes the Resource-Service-System model as a conceptual model of service systems interacting in service exchanges, assuming a service-dominant logic economic worldview. The paper explains how the model was developed starting from the Resource-Event-Agent business model ontology, taking into account insights gained from studying Service Science literature and existing service ontologies. The paper also explains how different model views can contribute to study various aspects of service systems and exchanges

A semantic web service-based architecture for the interoperability of e-government services

We propose a semantically-enhanced architecture to address the issues of interoperability and service integration in e-government web information systems. An architecture for a life event portal based on Semantic Web Services (SWS) is described. The architecture includes loosely-coupled modules organized in three distinct layers: User Interaction, Middleware and Web Services. The Middleware provides the semantic infrastructure for ontologies and SWS. In particular a conceptual model for integrating domain knowledge (Life Event Ontology), application knowledge (E-government Ontology) and service description (Service Ontology) is defined. The model has been applied to a use case scenario in e-government and the results of a system prototype have been reported to demonstrate some relevant features of the proposed approach

Student Perceptions of Engagement in a Mandatory Programatic Service Learning

In the hospitality industry, service-learning opportunities are particularly important for students seeking work in the meeting and event planning industry. Faculty of a hospitality program at a regional university in East Texas decided to investigate the benefits in embedding service learning activities to their hospitality courses. The study investigated student perceptions of their participation in compulsory service learning assignments were created and implemented. Service learning assignment benefited the respondents personally; it benefited the sponsoring organization; it benefited the respondents’ career goals and their own individual awareness of community issues

Crisis Event Extraction Service (CREES) - Automatic Detection and Classification of Crisis-related Content on Social Media

Social media posts tend to provide valuable reports during crises. However, this information can be hidden in large amounts of unrelated documents. Providing tools that automatically identify relevant posts, event types (e.g., hurricane, floods, etc.) and information categories (e.g., reports on affected individuals, donations and volunteering, etc.) in social media posts is vital for their efficient handling and consumption. We introduce the Crisis Event Extraction Service (CREES), an open-source web API that automatically classifies posts during crisis situations. The API provides annotations for crisis-related documents, event types and information categories through an easily deployable and accessible web API that can be integrated into multiple platform and tools. The annotation service is backed by Convolutional Neural Networks (CNNs) and validated against traditional machine learning models. Results show that the CNN-based API results can be relied upon when dealing with specific crises with the benefits associated with the usage word embeddings

Hikester - the event management application

Today social networks and services are one of the most important part of our everyday life. Most of the daily activities, such as communicating with friends, reading news or dating is usually done using social networks. However, there are activities for which social networks do not yet provide adequate support. This paper focuses on event management and introduces "Hikester". The main objective of this service is to provide users with the possibility to create any event they desire and to invite other users. "Hikester" supports the creation and management of events like attendance of football matches, quest rooms, shared train rides or visit of museums in foreign countries. Here we discuss the project architecture as well as the detailed implementation of the system components: the recommender system, the spam recognition service and the parameters optimizer

The influence of angry customer outbursts on service providers’ facial displays and affective states

This article explores the existence and extent of emotional contagion, as measured by facial displays and reported affective states, in a service failure event. Using video vignettes of customers complaining about a service failure as stimulus material, the authors measured the facial displays and affective states of service providers as proxies for emotional contagion. Following a two-step approach, service providers’ facial expressions were first recorded and assessed, revealing that service providers’ facial displays matched those of the angry consumer. Second, a mixed ANOVA revealed service providers reported stronger negative affective states after exposure to an angry complaint than prior to exposure. The results demonstrated that during a complaint situation, angry outbursts by consumers can initiate the emotional contagion process, and service providers are susceptible to “catch” consumer anger through emotional contagion. Implications for complaint management and future research are discussed