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Aspects of ontology visualization and integration

Dmitrieva, J.B.

Citation

Dmitrieva, J. B. (2011, September 14). Aspects of ontology visualization and integration.

Retrieved from https://hdl.handle.net/1887/17834

Version: Corrected Publisher’s Version

License: Licence agreement concerning inclusion of doctoral thesis in the Institutional Repository of the University of Leiden

Downloaded from: https://hdl.handle.net/1887/17834

Note: To cite this publication please use the final published version (if applicable).

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Stellingen

Stellingen behorende bij het proefschrift

”Aspects of Ontology Visualization and Integration“

Te verdedigen op 14 September 2011 om 16.15 uur te Leiden door

Julia Dmitrieva

1. Visualization of an ontology should be restricted to the hierarchy repre- sentation only. This thesis, Chapter 7.

2. It is not possible to comprehend a complete ontology in a single visualiza- tion window. This thesis, Chapter 3.

3. The modular approach through module extraction paves the way for in- tegration of large ontologies from different domains around a concept of interest. This thesis, Chapter 6.

4. The perception of ontologies by a logician is completely different from that of a life scientist. This thesis, Chapter 3.

5. For Information Integration in general, and for the life sciences in partic- ular, it will be a substantial achievement if the database integration as provided by methods described by Calvanese et al.1 can be realized.

6. The difficulties with representation of statements like ”all elephants are bigger than all mice“ in OWL described by Rudolph et al.2 show that this ontology language is not the best choice in the life sciences.

7. Doing discoveries from knowledge represented in RDF triples is not as promising as currently believed in the life sciences, e.g. Mons et al.3 8. Horrocks et al.4 state that the roles sister and mother should be declared

as being disjoint. This can be easily refuted by the phrase from the movie Chinatown: ”She’s my sister, she’s my daughter.“

9. It is impossible to assess the reliability of some in silico prediction methods, e.g. predictions of protein protein interactions.

10. When only 100 meter separates you from the top, certainly, you will refuse to back off, with the consequence that you could die in the ”death-zone“

from the lack of oxygen, exhaustion and cold.

1Diego Calvanese and Giuseppe De Giacomo. Data Integration: A Logic- Based Perspec- tive. AI Magazine, 26(1):5970, 2005.

2Sebastian Rudolph, Markus Kr¨otzsch, and Pascal Hitzler. All elephants are bigger than all mice. In: Proc. 21st Int. Workshop on Description Logics, 2008.

3Barend Mons and Jan Velterop. Nano-Publication in the e-science era. Technical report, 2009.

4Ian Horrocks, Oliver Kutz, and Ulrike Sattler. The Even More Irresistible SROIQ. In KR, pages 57-67. AAAI Press, 2006.

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