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The Laboratory for Applied Ontology (LOA) performs basic and applied research on the ontological foundations of conceptual modeling, exploring the role of ontologies and ontology management in different fields, such as: knowledge representation, knowledge engineering, database design, information retrieval, natural language processing, and the semantic web. The group is characterized by a strong interdisciplinary approach that combines Computer Science, Philosophy and Linguistics, and relies on logic as a unifying paradigm. On the application side, special emphasis is given to the use of ontologies for e-government, enterprise modeling and integration, natural language processing, and the Semantic Web.

FOIS 2016

9th International Conference on Formal Ontology in Information Systems

July 6-9, 2016 - Annecy, France

The FOIS conference is designed to provide a meeting point for researchers from all disciplines with an interest in formal ontology. The conference encourages submission of high quality articles on both theoretical issues and concrete applications at the intersection of philosophical ontology, linguistics, logic, cognitive science, and computer science, as well as in the applications of ontological analysis to conceptual modeling, knowledge engineering, knowledge management, information-systems development, library and information science, scientific research, and semantic technologies in general.

FOIS is the flagship conference of the International Association for Ontology and its Applications (IAOA), which is a non-profit organization that promotes interdisciplinary research and international collaboration in formal ontology.


International Workshop on Computer vision + ONTology: Applied Cross-disciplinary Technologies (CONTACT 2016)

Image and video understanding is the process of converting elementary visual entities (pixels, voxels) to symbolic forms of knowledge (textual tags, predicates), by means of various kinds of models (statistical classifiers, neural networks, knowledge-based systems, etc.). It represents the highest processing level in a computer vision system, operating usually on top of a basic processing layer, which extracts intermediate image representations (patches, volumes).

This semantic layer provides in principle the meaning of the symbolic forms associated to visual entities. In order to develop a principled methodology to ascribe meaning to images and videos, we need ontologies for modelling the domain knowledge, for providing an interpretation of the vocabulary chosen for the visual description of a domain, and for reasoning about the conceptualization of the visual entities.

The process of ascribing meaning to visual elements is a delicate and crucial step in computer vision, an effective modelling of this process is the key to enable a number of applications such that querying image databases, reasoning about images and scenes, inferring information from videos.

The aim of the CONTACT series is to bring together a wide range of researchers in formal ontology on the one side and computer vision and machine learning on the other, to share innovative ideas and solutions for exploiting the potential synergies emerging from the integration of the two domains, with the long term goals of promoting the development of a proper visual ontology and a better understanding of how such a visual ontology could be used for visual inference.

This is the second edition of CONTACT ( and it aims to address specifically scholar in ontology for promoting the applications of techniques developed in ontology and knowledge representation to computer vision.

Important dates:

Submission (abstracts): April 19, 3 May, 2016
Submission (full papers): April 25, 9 May, 2016
Notification: 12 May, 30 May, 2016
Camera ready: 31 May, 15 June 2016

FOIS early registration: 5 June, 2016.
Workshop:  6, July 2016.

Organizing Committee:

Marco Cristani (,,

Céline Hudelot (,,

Daniele Porello (,

WOMoCoE 2016

International Workshop on Ontology Modularity, Contextuality, and Evolution (WOMoCoE 2016)

In actual applications, it is impractical to treat knowledge as a monolithic and unchanging structure. Partitioning knowledge into modular structures is central to organize optimal knowledge repositories: from their design, to their management, from their maintenance to their use for knowledge sharing. Understanding, representing and reasoning about the context of the different knowledge sources is essential for their correct exploitation and for reliable and effective reasoning in changing situations. The correct acquisition of new knowledge, the evolution of underlying ontologies and the updates in knowledge sources are important factors that influence the quality of stored knowledge over time.

The International Workshop on Ontology Modularity, Contextuality, and Evolution (WOMoCoE 2016) builds on the success of the previous editions of the WoMO and ARCOE­Logic workshop series. It offers the ground to practitioners and researchers to discuss current work on theoretical and practical aspects on the topics of modularity, contextuality, and evolution of ontologies and knowledge resources. It aims to bring together an interdisciplinary crowd of researchers from various subareas of AI and knowledge representation, semantic web, linked data knowledge engineers, as well as researchers from philosophy, logic, cognitive science, and linguistics and from various application domains.

Important dates

Submission (abstracts): April 19, 2016
Submission (full papers): April 25, 2016
Notification: May 12, 2016
Camera ready: May 31, 2016
Workshop: July 2016, date TBA

by Dr. Radut