Experiencing OptiqueVQS: A Multi-paradigm and Ontology-based Visual Query System for End Users

This is author's post-print version, published version available on http://link.springer.com/article/10.1007%2Fs10209-015-0404-5Data access in an enterprise setting is a determining factor for value creation processes, such as sense-making, decision-making, and intelligence analysis. Particularly, in an enterprise setting, intuitive data access tools that directly engage domain experts with data could substantially increase competitiveness and profitability. In this respect, the use of ontologies as a natural communication medium between end users and computers has emerged as a prominent approach. To this end, this article introduces a novel ontology-based visual query system, named OptiqueVQS, for end users. OptiqueVQS is built on a powerful and scalable data access platform and has a user-centric design supported by a widget-based flexible and extensible architecture allowing multiple coordinated representation and interaction paradigms to be employed. The results of a usability experiment performed with non-expert users suggest that OptiqueVQS provides a decent level of expressivity and high usability and hence is quite promising

Semantic-Enabled Contacts as part of an Art Project Management tracking tool: Case of Re-Source project

International audienceAt the beginning of the ReSource project, is the observation that Art World is now fully 2.0, facing challenges such as transparency, reflexivity and participation. Mnemotix, a digital cooperative society, has been working for 2 years in partnership with the Contemporary Art Foundation Lafayette Anticipations and Alexandre Monnin, on an innovative application aiming at documenting in real time the collective process that leads to the production of works of art. Based on semantic technologies, tailor-made ontology and thesaurus, this application chain proposes to highlight the community of actors and skills involved in artworks production. We will present in this article our innovative custom-made tool for collaborative storytelling of Artworks, the dedicated ReSource ontology as well as its use in a semantic annotation interface to promote Artworks monitoring and visualizations of the interactions between members, contacts, resources and projects within the Contemporary Art ecosystem

Process-based Software Tweaking with Mobile Agents

We describe an approach based upon software process technology to on-the-fly monitoring, redeployment, reconfiguration, and in general adaptation of distributed software applications, in short 'software tweaking'. We choose the term tweaking to refer to modifications in structure and behavior that can be made to individual components, as well as sets thereof, or the overall target system configuration, such as adding, removing or substituting components, while the system is running and without bringing it down. The goal of software tweaking is manifold: supporting run-time software composition, enforcing adherence to requirements, ensuring uptime and quality of service of mission-critical systems, recovering from and preventing faults, seamless system upgrading, etc. Our approach involves dispatching and coordinating software agents - named Worklets - via a process engine, since successful tweaking of a complex distributed software system often requires the concerted action of multiple agents on multiple components. The software tweaking process must incorporate and decide upon knowledge about the specifications and architecture of the target software, as well as Worklets capabilities. Software tweaking is correlated to a variety of other software processes - such as configuration management, deployment, validation and evolution - and allows to address at run time a number of related concerns that are normally dealt with only at development time

Ontology-based end-user visual query formulation: Why, what, who, how, and which?

Value creation in an organisation is a time-sensitive and data-intensive process, yet it is often delayed and bounded by the reliance on IT experts extracting data for domain experts. Hence, there is a need for providing people who are not professional developers with the flexibility to pose relatively complex and ad hoc queries in an easy and intuitive way. In this respect, visual methods for query formulation undertake the challenge of making querying independent of users’ technical skills and the knowledge of the underlying textual query language and the structure of data. An ontology is more promising than the logical schema of the underlying data for guiding users in formulating queries, since it provides a richer vocabulary closer to the users’ understanding. However, on the one hand, today the most of world’s enterprise data reside in relational databases rather than triple stores, and on the other, visual query formulation has become more compelling due to ever-increasing data size and complexity—known as Big Data. This article presents and argues for ontology-based visual query formulation for end-users; discusses its feasibility in terms of ontology-based data access, which virtualises legacy relational databases as RDF, and the dimensions of Big Data; presents key conceptual aspects and dimensions, challenges, and requirements; and reviews, categorises, and discusses notable approaches and systems

Integration Of Multi-Sensory Earth Observations For Characterization Of Air Quality Events

In order to characterize air quality events, such as dust storms or smoke events from fires, a wide variety of Earth observations are needed from satellites, surface monitors and models. Traditionally, the burden of data access and processing was placed on the data user. These challenges of finding, accessing and merging data are overcome through the principles of Service Oriented Architecture. This thesis describes the collaborative, service-oriented approach now available for air quality event analysis, where datasets are turned into services that can be accessed by tools through standard queries. This thesis extends AQ event evidence to include photos, videos and personal observations gathered from social media websites such as Flickr, Twitter and YouTube. In this thesis, the service-oriented approach is demonstrated using two case studies. The first explains the benefits of data reuse in real-time event analysis focusing on the 2009 Southern California Smoke event. The second case study highlights post-event analysis for EPAΓÇÖs Exceptional Event Rule. The thesis concludes with a first attempt to quantify the benefits of data reuse by identifying all of the different user requirements for Earth observation data. We found that the real-time and post-event analysis had 68 unique Earth observation requirements making it an ideal example for illustrating the benefits of service oriented architecture for air quality analysis. While this thesis focuses on the air quality domain, the tools and methods can be applied to any area that needs distributed data