Following our previous article about the EIS Paper Submissions to the 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016) and to the 15th International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE 2016), we are pleased to announce that the following papers were accepted:
To EKAW 2016:
- An Integrated Environment to Support Version-Controlled Vocabulary Development, by Lavdim Halilaj, Niklas Petersen, Irlan Grangel, Christoph Lange, Sören Auer, Gökhan Coskun and Steffen Lohmann
- Alligator: A Deductive Based Approach for the Integration of Industry 4.0 Standards, by Irlan Grangel-Gonzalez, Diego Collarana, Lavdim Halilaj, Steffen Lohmann, Christoph Lange, Maria-Esther Vidal and Sören Auer
- OpenResearch: A crowd-sourced collection of semantically structured research data, by Sahar Vahdati, Natanael Arndt, Christoph Lange and Sören Auer.
- Considering Semantics on the Discovery of Relations in Knowledge Graphs, by
Ignacio Traverso-Ribon (FZI Research Center for Information Technology, Karlsruhe, Germany), Guillermo Palma (Universidad Simon Bolivar, Caracas, Venezuela), Alejandro Flores (University of Maryland, College Park) and Maria-Esther Vidal (University of Bonn and Fraunhofer IAIS, Germany).
To ODBASE 2016:
Our paper “Towards a Semantic Administrative Shell for Industry 4.0 Components” was elected as the paper of the month at Fraunhofer IAIS. This award is given to publications that have a high innovation impact in the research field after an committee evaluation.
Irlán Grangel-González, Lavdim Halilaj, Gökhan Coskun, Sören Auer, Diego Collarana, Michael Hofmeister
The paper and authors were honored for this publication in a special event at Fraunhofer Schloss Birlinghoven, Sankt Augustin, Germany.
In the engineering and manufacturing domain, there is currently an atmosphere of departure to a new era of digitized production. In different regions, initiatives in these directions are known under different names, such as “industrie du futur” in France, industrial internet in the US or Industrie 4.0 in Germany. While the vision of digitizing production and manufacturing gained much traction lately, it is still relatively unclear how this vision can actually be implemented with concrete standards and technologies. Within the German Industry 4.0 initiative, the concept of an Administrative Shell was devised to respond to these requirements. The Administrative Shell is planned to provide a digital representation of all information being available about and from an object which can be a hardware system or a software platform. In this paper, we present an approach to develop such a digital representation based on semantic knowledge representation formalisms such as RDF, RDF Schema and OWL. We present our concept of a Semantic I4.0 Component which addresses the communication and comprehension challenges in Industry 4.0 scenarios using semantic technologies. Our approach is illustrated with a concrete example showing its benefits in a real-world use case.
Before the summer break EIS was submitting a number of articles to renowned conferences.
To the 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW) we submitted:
- Exploiting the value of data through Data Value Networks
Judie Attard, Fabrizio Orlandi and Sören Auer
- Ontology-based Skills Demand and Trend Analysis
Elisa Margareth Sibarani, Simon Scerri, Najmeh Mousavi Nejad, Afshin Sadeghi and Sören Auer
- KBox — Transparently Shifting Query Execution on Knowledge Graphs to the Edge
Edgard Marx, Ciro Baron Neto, Tommaso Soru, Sören Auer and Axel-Cyrille Ngonga Ngomo
- An Integrated Environment to Support Version-Controlled Vocabulary Development
Lavdim Halilaj, Niklas Petersen, Irlan Grangel, Christoph Lange, Sören Auer, Gökhan Coskun and Steffen Lohmann
- Alligator: A Deductive Based Approach for the Integration of Industry 4.0 Standards
Irlan Grangel-Gonzalez, Diego Collarana, Lavdim Halilaj, Steffen Lohmann, Christoph Lange, Maria-Esther Vidal and Sören Auer
- OpenResearch: A crowd-sourced collection of semantically structured research data
Sahar Vahdati, Natanael Arndt, Christoph Lange and Sören Auer
- dokieli: decentralised authoring, annotations and social notifications
Sarven Capadisli, Amy Guy, Sören Auer and Tim Berners-Lee
To 15th International Conference on Ontologies, DataBases, and Applications of Semantics ODBASE we submitted:
The annual meeting-point for all stakeholders involved in the data value chain.
The European Data Forum (EDF) is one of the key European events for industry professionals, researchers, policy makers and members of community initiatives to discuss the challenges and opportunities of data-driven innovation in Europe. The Forum will address all facets of data-driven innovation: infrastructure, tools, applications (including, new products and services reaching out to multilingual European audiences) as well as societal and economic impact.
Written by Niklas Petersen, PhD Student at the university of Bonn.
“Give me six hours to chop down a tree and I will spend the first four sharpening the axe.” – Abraham Lincoln
Searching things is one of the most popular online activies . Four of the ten most visited pages are web search portals . Considering the time we spent on searching, this blog article aims at exploring ways to increase the efficiency of our search.
For this article, the FireFox browser is used for examples, but alternative browsers do have similar functionalities.
Written by Sahar Vahdati, PhD Researcher at the Department of Informatics at the University of Bonn.
We have the pleasure to share with you the fact that we are currently running the project OpenResearch at the University of Bonn.
OpenResearch is created using Semantic MediaWiki. Semantic MediaWiki (SMW) is a content management system that enables us to store and query data within the wiki’s pages. It includes richly formatted hypertext documents and structured data developed by Markus Krötzsch’s developers’ team. It is an extension to MediaWiki as a free, open-source software for managing Wikitext with advanced formatting elements e.g., images, tables . Thus it makes it possible to store and manage structured data, to browse and view data, search and query pages and to format and display data. Its data is stored in the form of page-property-value triples. The pages can be related to other pages by properties and redirected to other pages. In this respect. the entered data can be viewed using special namespaces such as Special:Browse, Special:Types, Property:Name, etc.
Written by Judie Attard, PhD Student of the Department of Informatics at the University of Bonn
Due to the proliferation of available public sector data sources and initiatives, the interlinking and combination of such datasets has become a topic of major interest within SME information managers. While more agile options for data integration are being requested, conventional methods of data integration are not feasible for use due to the massive size of available data. The current state of the latter data is also mostly unstructured, thus making it either unaccessible for SMEs, or else making the cost of utilizing such data unbearable for SMEs. This calls for tools that support users in the re-use of such data, whilst hiding the underlying complexity and allowing the re-use of existing software applications.
The ExConQuer Framework  aims to assist SMEs and data publishers and consumers in analyzing and interlinking public sector information with enterprise data. The main approach of this framework towards encouraging data re-use is the conversion from RDF to a number of other formats, included but not limited to CSV, XML, JSON and RDB. This conversion will allow users to import open RDF data into the original format of their current system. The data can then be interlinked with the entity’s own data, enabling the potential identification of patterns and maybe even predictions.
At Fraunhofer IAIS, we are working with major German and European Companies on the Industrial Data Space initiative aiming at realizing a large scale data exchange space based on cutting edge software and internet technology.
For this project, we are looking for student assistants to work 10-20 hours at Fraunhofer IAIS (but also full time software engineers).
We need applicants with strong experience in:
- professional Java software development
- Database technologies
- Docker packaging and deployment
- modern software engineering methods (Git, SCRUM, CI,
- test-driven development)
Experience with semantic technologies (RDF, SPARQL) would be a plus.
In case you are interested, please send a short CV and information about your experience in the above technologies to Dr. Christian Mader.
Written by Denis Lukovnikov, PhD Student of the Department of Informatics at the University of Bonn
Question Answering (QA) is a very interesting and challenging task in AI that has been in the focus of research since the first dawn of AI. The goal of a QA system is to provide the user with a direct answer to their question (in contrast to the currently still dominant document retrieval-oriented search). The QA information access paradigm has already found its way to commercial applications, with Google Now, Siri and Cortana as prime examples. QA forms one of the core competences of the ideal AI machine with which humans can interact seamlessly. Furthermore the language understanding and information processing techniques studied in QA can underpin the development of such conversational agents.