CIDOC-CRM Knowledge Mapping in Biodiversity

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Merry Conley
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1 CIDOC-CRM Knowledge Mapping in Biodiversity Karl-H. Lampe Zoologisches Forschungsmuseum Alexander Koenig (ZFMK), Adenauerallee 160, Bonn, Germany E-mai:

2 Zoological Research Institute & Museum A. Koenig university museum collecting data from objects with data preserving short term long term presenting projects objects Research: project orientated object orientated

3 Information transfer Vertical Information Transfer within biological domains: molecular organismic - ecosystem (Bio-, Biodiversity- & Environmental Informatics) BIOCASE- & GBIF-portals Horizontal Information Transfer between different domains: ALM [archives-libraries-museums] etc.) Semantic Web

4 Knowledge associated with a well documented pinned insect

5 Knowledge associated with a well documented pinned insect

6 Knowledge associated with a well documented pinned insect

7 Knowledge associated with a well documented pinned insect

8 Knowledge associated with a well documented pinned insect

9 Knowledge associated with a well documented pinned insect

10 Knowledge associated with a well documented pinned insect

11 Knowledge associated with a well documented pinned insect

12 Knowledge associated with a well documented pinned insect

13 Knowledge associated with a well documented pinned insect

14 Knowledge associated with a well documented pinned insect

15 Knowledge associated with a well documented pinned insect

The specimen based DORSA virtual museum DORSA contains full information about 16,000 specimens (incl. 2,300 primary types and 6,700 secondary types) 30,000 images and 11,000 sound files.

16 The specimen based DORSA virtual museum DORSA contains full information about 16,000 specimens (incl. 2,300 primary types and 6,700 secondary types) 30,000 images and 11,000 sound files. The DORSA virtual museum is available through the SYSTAX database infrastructure ( and major knowledge portals such as GBIF (

17 Multiple verification of primary types OSF

18 Dynamic linking of DORSA and OSF Dynamic linking

19 Orthoptera types in German collections Countries of origin

20 Neural network classification of cricket songs In cooperation with: Dept of Neuroinformatics, Ulm University; PhD thesis C. Dietrich

21 Semantic enrichment of specimen based databases Extraction of sound parameters by using MatLab Software Carrier frequency Pulse rate Carrier frequency In cooperation with: Dept of Neuroinformatics, Ulm University; PhD thesis C. Dietrich

22 The geo-referencing bottleneck Sao Bento Tapera

23 CIDOC CRM: Collecting events performed carried out by

24 Collector s itineraries & expedition routes

25 Biodiversity-observatories in terms of CIDOC-CRM 1 2m 10 m 20 m 100 m borders with m 1000 m 50 m 10 m 2 m 100 m Place is identified by identifies is identified by identifies consists of falls within Place name Spatial coordinates

26 CIDOC CRM: Collecting events performed carried out by E20 Biological object

27 CIDOC CRM: Observing events performed carried out by instances of documentary nature such as diary notes, inventory lists E31 document, E73 Information object

28 CIDOC CRM: Painting events performed carried out by Wang Yani Painting = visual object or E73 Information object

29 Structured memory in terms of CIDOC-CRM Ontologies describe not only results of scientific activities such as a description of a biological species. Beside that they clarify the path how the goal was reached. The challenge today is to bring local, domain specific and global authority files together (via web services). Ontologies as knowledge representation tools will therefore have strong impact on methodological questions and research behaviour for different domains such as biology, archaeology, art history, socio-economy etc. In this sense they can be regarded as a semantic glue between and within scientific and scholarly domains.

30 Acknowledgements Dr Martin Doerr, ICS Forth, Heraklion/Crete, Greece Dr Klaus Riede & Dr Sigfrid Ingrisch, ZFMK, and the DORSA data capture team and curators responsible for Orthoptera in the museums in Berlin, Eberswalde, Dresden, Hamburg, Halle, Bonn, Frankfurt, Stuttgart and Munich. Dr Christian Dietrich, Dept. of Neuroinformatics, Ulm University Dr Brad Sinclair and the DIG-team, ZFMK Birgit Rach, Dirk Rohwedder, the BIODAT- & BIOTA E15- teams, ZFMK The German Ministry of Education and Research (BMBF) for funding the DORSA-, DIG- & BIOTA East Africa E15 projects.

BIODIVERSITY: STRUCTURE AND FUNCTION Vol. I - Data and Information Management and Communication - Walter G. Berendsohn

BIODIVERSITY: STRUCTURE AND FUNCTION Vol. I - Data and Information Management and Communication - Walter G. Berendsohn DATA AND INFORMATION MANAGEMENT AND COMMUNICATION Walter G. Freie Universität Berlin, Botanic Garden and Botanical Museum Berlin-Dahlem, Germany Keywords: Biodiversity informatics, biological informatics,