Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
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Section: New Results

Workflow Management Systems

Semantic Mappings with a control flow-based business workflow

Participants : Thi Hoa Hue Nguyen, Nhan Le Thanh.

The aim of this PhD work is to improve Coloured Petri Nets (CPNs) and Ontology engineering to support the development of business process and business workflow definitions of various fields. To realize this objective, in the first time, we propose an ontological approach for representing business models in a meta-knowledge base. We introduce four basic types of manipulation operations on process models used to develop and modify business workflow patterns. In the second time we propose a formal definition of semantic constraints and an O(n3)-time algorithm for detecting redundant and conflicting constraints. By relying on the CPN Ontology and sets of semantic constraints, workflow processes are semantically created. Finally, we show how to check the semantic correctness of workflow processes with the SPARQL query language [45] , [20] , [46] .

Extraction Mechanisms and Semantic Enrichment of Short Messages in Social Networks

Participants : Amosse Edouard, Nhan Le Thanh.

In this PhD, the work is focused on text processing in social networks and the main objectives are focused on the analysis of the spatial aspect, context enrichment and spatiotemporal analysis of short text messages.

During the first half of the year, we have mainly worked on positioning the research subject beside the state of the art as well as determining relevant domain. After analyzing several works on short text analysis in many domains such as Semantic Web, Data Mining and Natural Language Processing, we have identified a lack in the representation of the spatial aspect. Indeed, the spatial properties of items shared among online communities can be seen on three different aspects: i) The location of the resources which can be identified by its URI/URL, ii) The producer's location, iii) The location related to the content of the messages.

Most existent works have considered as identical the producer's location and the event described by the content of the message, which can lead to wrong results in many cases. For example, a user can be in the United States while describing an event in Africa. The SIOC ontology is one of the most known for representing items shared among online communities; we have proposed an extension of this ontology in which the spatial aspects are clearly represented. However, there exists a big challenge in finding the relevant location that can be associated to the content of a message. We are currently working on an approach that combines NLP technics and GIS to identify the spatial location of an item by analyzing its content.

Ontology-Based Workflow Management Systems

Participants : Tuan Anh Pham, Nhan Le Thanh.

The main objective of the PhD work is to develop a Shared Workflow Management System (SWMS) using ontology engineering. Everybody can share a semi-complete workflow which is called Workflow template, and other people can modify and complete it to use in their system. This customized workflow is called Personalized workflow. The challenges of a SWMS is to be simple, easy to use, friendly with the user and not too heavy. But it must have all functions of a WMS. There are three major challenge in this work: How to allow the users to customize the workflow template to correspond to their requirements, but their changes must be compliance with the predefined rules in the workflow template? How to build an execution model to evaluate step by step a personalized workflow ?

Model Spatio-Temporal Dedicated Social Networks

Participants : Amel Ben Othmane, Nhan Le Thanh.

The research aims of the work are to: i) model spatio-temporal, dedicated social networks using semantic web models (ontologies) taking into account spatial, temporal, social and dedicated dimensions. ii) overcome limitations of traditional Recommender Systems and improve the quality of recommendation by exploiting context (time, location, goal, etc.) and social ties.

The following tasks, proposed in the first year planning, are completed or almost finished, and are highly relevant to the current work, despite the different initial overall aim:

The following developments are ongoing: Adaptation of recommender systems for activities recommendation and reusing multi-dimensional recommendation model.