=Paper=
{{Paper
|id=Vol-1670/paper-05
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-1670/paper-05.pdf
|volume=Vol-1670
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==None==
<pdf width="1500px">https://ceur-ws.org/Vol-1670/paper-05.pdf</pdf>
<pre>
        Web-Scale Domain-Specific Information
                    Extraction

                                        Ulf Leser

                        Humboldt University, Berlin, Germany
                          leser@informatik.hu-berlin.de

    Information Extraction (IE) from unstructured texts is a technology with
growing importance in many applications. Three important challenges to IE
are the achievement of high quality results, scalability of methods to very large
corpora, and integration of IE results with other data for downstream analysis. In
this talk, we will highlight recent advances and open questions in these areas by
drawing from extensive experiences in developing and applying IE for biomedical
research.
Biography. Ulf Leser studied computer science at the Technische Universität München
and obtained his PhD in Data Integration and Query Planning from Technische Uni-
versität Berlin. After positions in research institutes and in the private sector, in 2002
he became a professor for Knowledge Management in Bioinformatics at Humboldt-
Universität zu Berlin. His research focuses on scientific data management, statistical
Bioinformatics, biomedical text mining and infrastructures for large-scale biomedical
analysis and is typically carried out in interdisciplinary projects with domain scientists,
especially from Medicine and Biology. He is speaker of the DFG-funded graduate school
“SOAMED - Service-oriented architectures for medical applications”, chairman of the
coordinated BMBF project “PREDICT - Comprehensive Data Integration for Person-
alized Ontology”, PI of the DFG research unit Stratosphere, and a board member of
the DFG-excellence graduate school “BSIO - Berlin School for Integrative Oncology”.

</pre>