MDDQL: an ontology driven, multi-lingual query language and system for an integrated view of heterogeneous data sources

Query languages and keywords based search engines are conventionally specified and implemented with the emphasis put on syntactic rules to which query typing and answering must be bound. MDDQL is a query language and system that operates on a semantic model in terms of a graph based ontology. As a software technology, MDDQL allows the meaning of/and associations between information to be known and processed at execution time at following levels: (a) driving the user to the construction of, as meaningful as possible, queries with an advanced concept-based search method, (b) resolving high level queries into various data source specific query statements. In addition, queries can be posed in more than one natural sub-language. The major goal behind this approach has been the simplification and scalability of both tasks: query construction, even within multi-lingual user communities, and addressing of a large number of possibly semantically heterogeneous data sources in a distributed environment

Construction collaborative de bases de connaissance et de documents pour la capitalisation

euzenat2001aNational audienceL'activité de "mémoire technique" est destinée à recevoir la connaissance technique utilisée par les ingénieurs de l'entreprise. Ces mémoires techniques participent de la problématique de la gestion des connaissances ("knowledge management") en ce qu'elles permettent d'accroître les capacités de capitalisation et de gestion de la connaissance et des expériences au sein des entreprises. Une telle mémoire se doit d'être vivante si elle doit être utilisée ou enrichie. Elle doit donc être cohérente et intelligible. L'approche de la mémoire technique présentée ici est nourrie de notre expérience de la construction de bases de connaissance. À cette fin, trois principes sont ici mis en avant : la mémoire technique doit être autant que possible formalisée, elle doit être liée aux sources de connaissance informelle, elle doit exprimer le consensus d'une communauté. On présente brièvement comment le prototype CO4 répond à ces exigences en permettant l'édition de connaissance formalisée sur le world-wide web, la référence des entités modélisées vers des sources informelles et la mise en oeuvre d'un protocole de collaboration destiné à encourager le consensus entre les acteurs

Governance of Autonomous Agents on the Web: Challenges and Opportunities

International audienceThe study of autonomous agents has a long tradition in the Multiagent System and the Semantic Web communities, with applications ranging from automating business processes to personal assistants. More recently, the Web of Things (WoT), which is an extension of the Internet of Things (IoT) with metadata expressed in Web standards, and its community provide further motivation for pushing the autonomous agents research agenda forward. Although representing and reasoning about norms, policies and preferences is crucial to ensuring that autonomous agents act in a manner that satisfies stakeholder requirements, normative concepts, policies and preferences have yet to be considered as first-class abstractions in Web-based multiagent systems. Towards this end, this paper motivates the need for alignment and joint research across the Multiagent Systems, Semantic Web, and WoT communities, introduces a conceptual framework for governance of autonomous agents on the Web, and identifies several research challenges and opportunities

The Impact of Predisposition Towards Group Work on Intention to Use a CSCW System

Groupware packages are increasingly being used to support content delivery, class discussion, student to student and student to faculty interactions and group work on projects. This research focused on groupware packages that are used to support students who are located in different places, but who are assigned group projects as part of their coursework requirements. In many cases, students are being asked to use unfamiliar technologies that are very different from those that support personal productivity. For example, computer-assisted cooperative work (CSCW) technology is different from other more traditional, stand-alone software applications because it requires the user to interact with the computer as well as other users. However, familiarity with the technology is not the only requirement for successful completion of a group assigned project. For a group to be successful, it must also have a desire to work together on the project. If this pre-requisite is not present within the group, then the technology will only create additional communication and coordination barriers. How much of an impact does each of these factors have on the acceptance of CSCW technology? The significance of this study is threefold. First, this research contributed to how a user's predisposition toward group work affects their acceptance of CSCW technology. Second, it helped identify ways to overcome some of the obstacles associated with group work and the use of CSCW technology in an academic online environment. Finally, it helped identify early adopters of CSCW software and how these users can form the critical mass required to diffuse the technology. This dissertation reports the impact of predisposition toward group work and prior computer experience on the intention to use synchronous CSCW. It was found that predisposition toward group work was not only positively associated to perceived usefulness; it was also related to intention to use. It also found that perceived ease of use, at least in this study, had a direct and positive impact on intention, and was not mediated through perceived usefulness. These findings hold implications for academia and how it uses complex collaborative software. Avenues for further research are identified

Supporting Computer-Mediated Collaboration through User Customized Agents

This research investigated a neglected problem - interruption of groups by agent advisory systems. The question was whether interruption by the agent advisory system was beneficial. A survey of literature in four areas is included in this dissertation. The areas surveyed were Agents, Online Help, Computer Supported Cooperative Work(CSCW) and Awareness in CSCW. Based on the review, a human subject experiment was conducted. The study investigated whether the style of agent advisory interface improved the performance of group members. There were three sets of groups, a control set that did not have advisory agents, a set that had system provided advisory agents and a set that had group customized advisory agents. The groups worked together using a CSCW application developed with GroupKit, a CSCW toolkit. The groups with group customized advisory agents used an Agent Manager application to define advisory agents that would give them advice as they worked in the CSCW application. The findings showed that the type of advisory agents did not significantly influence the performance of the groups. The groups with customized agents performed slightly better than the other groups but the difference was not statistically significant. When notified that advice was issued, groups with customized agents and groups with provided agents seldom accessed the agent's advice. General design guidelines for agent interruption have not been solved. Future work is needed to finish the job. The definitive solution may be some mixture of the three known individual design solutions

Multi-Agent Systems

A multi-agent system (MAS) is a system composed of multiple interacting intelligent agents. Multi-agent systems can be used to solve problems which are difficult or impossible for an individual agent or monolithic system to solve. Agent systems are open and extensible systems that allow for the deployment of autonomous and proactive software components. Multi-agent systems have been brought up and used in several application domains