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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.

Ontology and Engineering in Tandem

Half-day on using ontology to help engineering

Wednesday, February 8, 9:30-12:00

09:30-9:45 Stefano Borgo
Introduction to the event

09:45-10:45 Bob Young
Title: Manufacturing reference ontologies – a route to knowledge sharing and interoperability?

Abstract: Competitive manufacturing industries are always striving to be “better, faster and cheaper” to stay ahead of their competition. This requires the ability to make successful business decisions against substantial time constraints and with limited high quality information. However, although ICT tools for manufacturing industry have advanced dramatically in recent years they do have significant drawbacks when it comes to providing the holistic capabilities that are critical to long-term competitive solutions. Part of the solution to this problem lies in the exploitation of semantic technologies that provide a formal, logic base route to sharing meaning.
The effective exploitation of semantic technologies for knowledge sharing and interoperability is not easy, as is evident from the on-going problems that exist in industrial decision support environments. This presentation discusses the problems from a manufacturing perspective and argues for the development of manufacturing reference ontologies that sit between foundation and domain ontologies. The results of a number of projects, culminating in the recently completed EU Factories of the Future FLEXINET project, will be used to demonstrate how this is possible, linking a wide range of manufacturing software support applications, all interacting based on an underlying knowledge base that utilised the reference ontology. This approach will be discussed in terms of its potential development to provide a common shared understanding that can be flexibly and dynamically applied to transform manufacturing industry in the next phase of the information revolution.

Bio: Prof Young is Professor of Manufacturing Informatics in the Wolfson School of Mechanical, Electrical and Manufacturing Engineering at Loughborough University in the UK. He has some 40 years experience in new product development and manufacturing engineering, working both in UK industry and in academia. His research is focused on exploiting advanced Information and Communications Technologies to aid multi-disciplinary teams of engineers in their decision-making through the provision of timely, high quality information and knowledge.  To that end his research in recent years has been heavily focused towards the development and use of formal ontologies as a basis for effective knowledge sharing and interoperability in manufacturing.
Prof Young works with a broad range of manufacturing companies from large multi-nationals in the aerospace and automotive sectors to more local manufacturing SMEs. In this latter area he is a director of TANet, an organisation aimed at providing support to the UK SME manufacturing sector. As well as working closely with industry, Prof Young is committed to developing effective information standards for manufacture. To that end he is deputy convenor of the international standards organisation working group concerned with “manufacturing process and management data”, ISO TC184 SC4 JWG8. Prof Young also leads a task group within the EU’s Virtual Laboratory for Interoperability or INTEROP-VLab. This group is focused on developing improved methods for Manufacturing Enterprise Interoperability.

11:00-12:00 Ferruccio Mandorli
Title: Knowledge representation in mechanical drawings and MCAD models

Abstract: Mechanical drawings and 3D MCAD models play a central role in the design/production process. Both can be considered “documents” aimed at representing the shape of mechanical components and assembly as well as additional (technological) information, required for product development. The presentation will summarize similarities and differences of knowledge representation in this two types of documents, with particular reference to the influence that the skills of the author and the limitation of the modeling tool may have on the representation of implicit (or tacit) knowledge. The objective is to define an educational approach aimed at overcoming the limitations of traditional drawing and modeling teaching methodologies, mainly based on standards, best practices and guidelines.

Bio: Ferruccio is full professor at the Department of Industrial Engineering and Mathematics Science at the Università Politecnica delle Marche, where he teaches Mechanical Drawing and Computer Aided Design. He obtained a degree in Computer Science from the University of Milan in 1990. After spending 10 months at the University of Tokyo (Kimura Laboratory, Department of Precision Machinery Engineering, Faculty of Engineering) as guest researcher, thanks to a CNR scholarship, he entered the Ph.D. course in Engineering of Industrial Production at the Industrial Engineering Department of the University of Parma where he was awarded his Ph.D. in 1995. Feature-Based methodologies and Knowledge Aided Engineering Systems have been his topics of research for several years. At present, his main interest is focused on the methodologies and tools to support education in the mechanical engineering area.

 

Location: Sala Grande B (ground floor)
Laboratory for Applied Ontology (ISTC-CNR)
via alla Cascata 56/C
Povo, Trento
http://www.loa.istc.cnr.it/contact

For further info: stefano.borgo [at] cnr.it

CONTACT 2016

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 (http://profs.sci.univr.it/~cristanm/contact2014/) 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 (http://profs.sci.univr.it/~cristanm/, marco.cristani@univr.it),

Céline Hudelot (http://perso.ecp.fr/~hudelotc/, celine.hudelot@centralesupelec.fr),

Daniele Porello (www.danieleporello.net, daniele.porello@loa.istc.cnr.it)

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