OWLED - ORE 2016 - 13th OWL: Experiences and Directions Workshop and 5th OWL Reasoner Evaluation Workshop

Mauro Dragoni, Ernesto Jimenez-Ruiz and Maria Poveda Villalon


The OWLED - ORE 2016 workshop aims to bring together the OWL community, where practitioners in industry and academia, developers and users of (subset of) OWL 2 reasoners, and others interested in OWL can describe real and potential applications, share experiences and discuss requirements for language extensions/modifications. OWL has become the representational model of choice for supporting interoperability in many industries. With its rise in popularity, as well as the number of publicly available ontologies, it becomes important to focus on the processes by which ontologies can be constructed and used, and the reasoning tools that facilitate the use. In this edition of OWLED - ORE we aim to bridge the gap between ontology engineering practices and software engineering, where reuse is common practice. For the 2016 edition of OWLED - ORE we welcome submissions of papers describing reuse methods employed throughout the ontology development cycle; description of reasoning systems focusing on both intensional (ontology) and extensional (data) query answering; modeling / terminological decisions, alignment and comparison between ontologies, how ontologies are stored, versioned, distributed, used for reasoning purposes and consumed over the Web. As with previous editions, we also welcome proposals for improving the OWL standard.


The second International workshop on Educational knowledge management (EKM)

Inaya Lahoud, Nada Matta, Fouad Zablith and Sebastian Ventura.


The interest in Knowledge Engineering and Knowledge Management for the educational domain has been growing in recent years. This can be seen in the series of conferences organized by the International Educational Data Mining Society and in papers discussing the role of knowledge management in higher education. As education is increasingly occurring online or in educational software, resulting in an explosion of data, new techniques are being developed and tested, aiming for instance to improve educational effectiveness, determine the key factors to the success of educational training, support basic research on learning, or manage educational training by satisfying the needs of a community, local industry, or professional development. The paper “Knowledge Management for Educational Information Systems: What Is the State of the Field?” written by Christopher A. Thorn in the journal “Education Policy Analysis Archives” put on the need of KM techniques to face current evolution of educational systems especially the mobility of students/teachers involved in interactive learning. Thus, educational systems need KM to support and control the evolution of teaching and learning, and KM techniques must be adatpted to education and take into account pedagogic dimensions. 


1st Drift-a-LOD Workshop: Detection, Representation and Management of Concept Drift in Linked Open Data

Laura Hollink, Albert Meroño Peñuela, Sándor Darányi and Efstratios Kontopoulos


The continuous growth of the Linked Open Data (LOD) Cloud is extending to various new domains. In many of these, facts change continuously: political landscapes evolve, medical discoveries lead to new cures, artists form new collaborations. In terms of knowledge representation, we observe that instances change their roles, new relations appear, old ones become invalid, and classes change both their definition and member-instances. The evolution of LOD poses new challenges to interested stakeholders: LOD publishers need to detect changes in the real world and capture them in their datasets; users and applications need automated tools to adapt querying over such diachronic datasets; knowledge engineers want to understand modelling practices behind ontology changes; philosophers study drift in the meaning of words. This workshop seeks to form a community of researchers working on detecting, representing and managing concept drift in and for LOD, either as input or output for their acquisition, representation or modeling methods. The goal is to bring together different communities that define, identify and manage the dynamics of concepts in their knowledge bases using various domain-specific methods (statistical inference, symbolic reasoning, natural language processing, etc.), leveraging Linked Data as a data source or as a result publishing platform.


Third Workshop on Legal Knowledge and the Semantic Web (LK&SW-2016)

Monica Palmirani, Leon van der Torre and Pompeu Casanovas


The aim of LK&SW-2016 is to study the challenges that the legal domain poses to Semantic Web research, and how Semantic Web technologies and formalisms can contribute to address these open issues. This way, we promote the use of legal knowledge for addressing Semantic Web research questions and, vice versa, to use Semantic Web technologies as reasoning tools to be implemented into the legal domain.


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