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Semantic e-learning platform for chemistry

Ontology browser of the semantic ChemgaPedia demonstrator
Ontology browser of the semantic ChemgaPedia demonstrator

In cooperation with FIZ CHEMIE we develop a semantic e-learning platform in the domain of chemistry which is based on ChemgaPedia. ChemgaPedia is a multimedia, webbased eLearning service platform that currently contains about 18.000 pages organized in 1.700 chapters covering the complete bachelor studies in chemistry and related topics of chemistry, pharmacy and life sciences. The eLearning encyclopedia contains some 25.000 media objects and the eLearning platform provides services such as virtual and remote labs for experiments. With up to 350.000 users per month the platform is the most frequently used scientific educational service in the German spoken Internet.

The content is represented in XML format conforming to a schema specialized to represent elearning content. All pages and media elements are stored in an XML-based database. A processing pipeline consisting mainly of XSLT transformations is used to convert the content to static HTML pages. Up to now there is no method to generate dynamic paths or to assemble personalized content pages on demand.

The aim of the cooperation between FIZ CHEMIE as the provider of ChemgaPedia and the Corporate Semantic Web expert group is the development of an ontology-based copy of the current ChemgaPedia platform. For this purpose, we are currently developing two ontologies: a Chemistry ontology and an eLearning ontology. In contrast to existing Chemistry ontologies which are built for expert use, we use the expertise of the authors of ChemgaPedia to develop an ontology that is suitable for the use in the eLearning platform. For example, it also includes concepts that are not contained in existing ontologies but are relevant for students or it contains relationships that help to generate teaching path automatically. Nevertheless, our goals are also to reuse existing ontologies as far as possible and to link to them in the sense of linked data. The eLearning ontology models concepts and relationships to describe the content, relationships between lectures, and metadata about a lecture, e.g., target group.

In a first step towards an ontology-based eLearning platform we currently construct the needed ontologies and develop a demonstrator illustrating the usage of background knowledge to generate teaching path automatically. In order to represent the data in a semantic format we have built converters that parse the XML files and convert them to RDF. The converters identify chemical entities in the source content and match them to ontology concepts. Moreover, information relevant elearning, e.g., study time, target audience, or recommended readings, is extracted as well and represented as RDF.

To reuse existing ontologies from the chemical and life-science domains being under intense development by the scientific community, we have aligned our ontological model with ontologies such as the ChEBI ontology and the PubChem schemata from Bio2RDF. This allows us to enrich the chemical data described in ChemgaPedia with chemical identifiers and classifications from these ontologies and also to improve the search functionality by adding new and more precise data. Another important step is the alignment with DBpedia Germany that allows for using the elaborate SKOS based classification to enhance the learning material from ChemgaPedia with related content from DBpedia.

 

Kooperation des Fachinformationszentrums Chemie mit AG Corporate Semantic Web der FU Berlin

Thursday, 9. April 2009 FIZ CHEMIE Berlin (FCH) unterzeichnet einen Kooperationsvertrag mit Arbeitsgruppe an der FU Berlin zum Themenumfeld Corporate Semantic Web (CSW) unter Leitung von Prof. Paschke [mehr]

Vorstellung der Zusammenarbeit von FIZ CHEMIE mit der Arbeitsgruppe Corporate SemanticWeb (CSW) - Auf dem Weg zu einem Kompetenzcluster „Semantic-Chemistry“ [presentation]

Team

Prof. Dr. Adrian Paschke (contact) Ralf Heese , Sebastian Krebs, Alexandru Todor und Richard Huber (FIZ CHEMIE)

Publications

  • Adrian Paschke, Stephan Heineke: Chemical e-Science Information Cloud (ChemCloud): A Semantic Web based eScience infrastructure. in Proceedings of the 240th ACS National Meeting, Boston, MA, CINF: Division of Chemical Information (presentation)
  • Alexandru-Aurelian Todor, Sebastian Krebs, Ralf Heese and Adrian Paschke: Dynamically-generated learning trajectories for ChemgaPedia, at Online Educa 2010, 1- 3.12.2010, Berlin (Stand mit Demo und Präsentation)
  • Richard Huber, Kirsten Hantelmann, Alexandru Todor, Sebastian Krebs, Ralf Heese, Adrian Paschke: Use of semantic technologies for the development of a dynamic trajectories generator in a Semantic Chemistry eLearning platform. CoRR abs/1012.1646 (2010) (pdf)
  • Alexandru Todor, Adrian Paschke, Stephan Heineke: ChemCloud: Chemical e-Science Information Cloud. SWAT4LS 2010 (pdf, poster)
  • Richard Huber: Semantic Chemistry eLearning Platform, 7th Berlin Semantic Web Meetup - Semantic Health Care, Life Sciences, Chemistry, December 9, 2010 (presentation)
  • Alexandru Todor, Adrian Paschke, Stephan Heineke: ChemCloud: Chemical e-Science Information Cloud. CoRR abs/1012.1645 (2010) (pdf)
  • Richard Huber, Kirsten Hantelmann, Alexandru Todor, Sebastian Krebs, Ralf Heese, Adrian Paschke: Use of semantic technologies for the development of a dynamic trajectories generator in a Semantic Chemistry eLearning platform. in Nature Preceedings (2010) (talk, demo)
  • Richard Huber: Semantische Anwendungsszenarien im Bereich der elektronischen Lehre, Xinnovations 2010 (presentation)
  • Alexandru Todor: Semantische Linked Data Integration für Chemie eScience, Xinnovations 2010 (presentation)
  • Adrian Paschke: Semantic Chemistry bei FIZ Chemie, Studie FU Berlin, 12.9.2010
  • Alexandru Todor, Adrian Paschke, Stephan Heineke: Use of Semantic Technologies – Semantic Chemistry.Nature Precedings 2010 (presentation, pdf)
  • Richard Huber: ChemgaPedia - Virtuelle Forschungsumgebung (presentation)
  • Adrian Paschke and Zhili Zhao: The Rule Responder eScience Infrastructure, Nature Preceedings 2010 (poster)
  • Alexandru-Aurelian Todor, Sebastian Krebs, Ralf Heese and Adrian Paschke: Dynamically-generated learning trajectories for ChemgaPedia, at Online Educa 2009, 1- 3.12.2009, Berlin (Stand mit Demo und Präsentation)
  • Philip Strathausen: Demo der semantischen ChemgaPedia eLearning Multi-Media Suche, Xinnovations 2009 (Demo mit Stand)
  • Philip Strathausen: Semantic Profiles in Universal Plug and Play AV, Xinnovations 2009 (presentation
  • Richard Huber: ChemgaPedia - Virtuelle Forschungsumgebung, Xinnovations 2009 (presentation)
  • Richard Huber: Medieninseln und Wege aus dem Bildungsdschungel, Xinnovations 2009 (presentation)

Theses

  • Liqing Gao: Automatische Generierung von E-Books-Empfehlungen für eine E-learning-Plattform basierend auf einem semantischen Modell, Master Thesis FU Berlin, 6.2.2012
  • Alexandru-Aurelian Todor: Enabling Semantic Search For Thermophysical Properties Databases Through Semantic Integration in the Linked Data Cloud, Master Thesis FU Berlin, 4.2.2011
  • Philipp Strathausen: Semantic Filters in UPnP AV - Use Case Szenario zur semantischen ChemgaPedia eLearning Multi-Media Suche, Diploma Thesis FU Berlin, Dezember 2009

Chemisches Zentralblatt corpus

We develop approaches for semantic preprocessing of chemical texts from 19th century.

Timeline plotted with text stream from Chemisches Zentralblatt

Address extraction using a Hidden Markov Model

Team

Ralf Heese (contact), Sebastian Krebs, Alexandru Todor und Richard Huber (FIZ CHEMIE)

Go back

2012-12-15 10:33

Abschlussveranstaltung des Corporate Semantic Web Projekts

5 Jahre Corporate Semantic Web Abschlussveranstaltung am 16.1.2013

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2012-12-07 18:20

CSW active in OMG API4KB Standardization

API4KB is an initiative within OMG that aims at defining a standard programming interface for knowledge bases

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© 2008 FU Berlin | Feedback
This work has been partially supported by the  InnoProfile-Corporate Semantic Web project funded by the German Federal Ministry of Education and Research (BMBF) and the BMBF Innovation Initiative for the New German Länder - Entrepreneurial Regions.
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