<h2>Dagstuhl Seminar Proceedings, Volume 8131, </h2>
<ul>
<li>
<span class="authors">Michael Ashburner, Ulf Leser, and Dietrich Rebholz-Schuhmann</span>
<span class="title">08131 Executive Summary – Ontologies and Text Mining for Life Sciences : Current Status and Future Perspectives</span>
<a class="doi" href="https://doi.org/10.4230/DagSemProc.08131.1">10.4230/DagSemProc.08131.1</a>
</li>
<li>
<span class="authors">Andreas Schlicker, Fidel Ramírez, Jörg Rahnenführer, Carola Huthmacher, Alejandro Pironti, Francisco S. Domingues, Thomas Lengauer, and Mario Albrecht</span>
<span class="title">Applications of semantic similarity measures</span>
<a class="doi" href="https://doi.org/10.4230/DagSemProc.08131.2">10.4230/DagSemProc.08131.2</a>
</li>
<li>
<span class="authors">Ted Briscoe, Caroline Gasperin, Ian Lewin, and Andreas Vlachos</span>
<span class="title">Bootstrapping an interactive information extraction system for FlyBase curation</span>
<a class="doi" href="https://doi.org/10.4230/DagSemProc.08131.3">10.4230/DagSemProc.08131.3</a>
</li>
<li>
<span class="authors">Jian Su, Xiaofeng Yang, Huaqing Hong, Yuka Tateisi, and Jun'ichi Tsujii</span>
<span class="title">Coreference Resolution in Biomedical Texts: a Machine Learning Approach</span>
<a class="doi" href="https://doi.org/10.4230/DagSemProc.08131.4">10.4230/DagSemProc.08131.4</a>
</li>
<li>
<span class="authors">Irena Spasic, Daniel Schober, Susanna-Assunta Sansone, Dietrich Rebholz-Schuhmann, Douglas B. Kell, and Norman W. Paton</span>
<span class="title">Facilitating the development of controlled vocabularies for metabolomics technologies with text mining</span>
<a class="doi" href="https://doi.org/10.4230/DagSemProc.08131.5">10.4230/DagSemProc.08131.5</a>
</li>
<li>
<span class="authors">Heiko Dietze, Dimitra Alexopoulou, Michael R. Alvers, Bill Barrio-Alvers, Andreas Doms, Jörg Hakenberg, Jan Mönnich, Conrad Plake, Andreas Reischuck, Loic Royer, Thomas Wächter, Matthias Zschunke, and Michael Schroeder</span>
<span class="title">GoPubMed: Exploring Pubmed with Ontological Background Knowledge</span>
<a class="doi" href="https://doi.org/10.4230/DagSemProc.08131.6">10.4230/DagSemProc.08131.6</a>
</li>
<li>
<span class="authors">Goran Nenadic</span>
<span class="title">Mining associations and roles: role of feature extraction</span>
<a class="doi" href="https://doi.org/10.4230/DagSemProc.08131.7">10.4230/DagSemProc.08131.7</a>
</li>
<li>
<span class="authors">Ulf Leser, Philip Groth, Bertram Weiss, and Hans-Dieter Pohlenz</span>
<span class="title">Mining Phenotypes for Protein Function Prediction</span>
<a class="doi" href="https://doi.org/10.4230/DagSemProc.08131.8">10.4230/DagSemProc.08131.8</a>
</li>
<li>
<span class="authors">Stefan Schulz</span>
<span class="title">Named Entity or Entity Name?</span>
<a class="doi" href="https://doi.org/10.4230/DagSemProc.08131.9">10.4230/DagSemProc.08131.9</a>
</li>
<li>
<span class="authors">N. Washington, M. Gibson, C.J. Mungall, Michael Ashburner, G. Gkoutos, M. Westerfield, M. Haendel, and S. E. Lewis</span>
<span class="title">NLP and Phenotypes: using Ontologies to link Human Diseases to Animal Models</span>
<a class="doi" href="https://doi.org/10.4230/DagSemProc.08131.10">10.4230/DagSemProc.08131.10</a>
</li>
<li>
<span class="authors">Paul Buitelaar</span>
<span class="title">Ontologies & Text Mining (for Life Sciences)</span>
<a class="doi" href="https://doi.org/10.4230/DagSemProc.08131.11">10.4230/DagSemProc.08131.11</a>
</li>
<li>
<span class="authors">Dimitra Alexopoulou, Thomas Wächter, Laura Pickersgill, Cecilia Eyre, and Michael Schroeder</span>
<span class="title">Ontology learning with text mining: Two use cases in lipoprotein metabolism and toxicology</span>
<a class="doi" href="https://doi.org/10.4230/DagSemProc.08131.12">10.4230/DagSemProc.08131.12</a>
</li>
<li>
<span class="authors">Jung-Jae Kim</span>
<span class="title">Ontology-based Extraction of Transcription Regulation Events</span>
<a class="doi" href="https://doi.org/10.4230/DagSemProc.08131.13">10.4230/DagSemProc.08131.13</a>
</li>
<li>
<span class="authors">David Milward</span>
<span class="title">Ontology-Based Interactive Information Extraction</span>
<a class="doi" href="https://doi.org/10.4230/DagSemProc.08131.14">10.4230/DagSemProc.08131.14</a>
</li>
<li>
<span class="authors">Jörg Hakenberg</span>
<span class="title">Services for annotation of biomedical text</span>
<a class="doi" href="https://doi.org/10.4230/DagSemProc.08131.15">10.4230/DagSemProc.08131.15</a>
</li>
<li>
<span class="authors">Johannes Schuchhardt</span>
<span class="title">Systems biology approaches for prioritizing therapeutic gene targets</span>
<a class="doi" href="https://doi.org/10.4230/DagSemProc.08131.16">10.4230/DagSemProc.08131.16</a>
</li>
<li>
<span class="authors">Michael Krauthammer and Thaibinh Luong</span>
<span class="title">Term Mapping Using Matrix Operations</span>
<a class="doi" href="https://doi.org/10.4230/DagSemProc.08131.17">10.4230/DagSemProc.08131.17</a>
</li>
<li>
<span class="authors">Jong C. Park</span>
<span class="title">Text Mining and Management Tools for Resource Construction and Validation in the Life Sciences</span>
<a class="doi" href="https://doi.org/10.4230/DagSemProc.08131.18">10.4230/DagSemProc.08131.18</a>
</li>
<li>
<span class="authors">Hans-Michael Mueller, Arun Rangarajan, Tracy K. Teal, Kimberly van Auken, Juancarlos Chan, and Paul W. Sternberg</span>
<span class="title">Textpresso - an Information Retrieval and Extraction System for Biological Literature</span>
<a class="doi" href="https://doi.org/10.4230/DagSemProc.08131.19">10.4230/DagSemProc.08131.19</a>
</li>
<li>
<span class="authors">Elena Beisswanger, Michael Poprat, and Udo Hahn</span>
<span class="title">WordNet-Inspired Terminological Resources for Bio-NLP</span>
<a class="doi" href="https://doi.org/10.4230/DagSemProc.08131.20">10.4230/DagSemProc.08131.20</a>
</li>
</ul>
The metadata provided by Dagstuhl Publishing on its webpages, as well as their export formats (such as XML or BibTeX) available at our website, is released under the CC0 1.0 Public Domain Dedication license. That is, you are free to copy, distribute, use, modify, transform, build upon, and produce derived works from our data, even for commercial purposes, all without asking permission. Of course, we are always happy if you provide a link to us as the source of the data.
Read the full CC0 1.0 legal code for the exact terms that apply: https://creativecommons.org/publicdomain/zero/1.0/legalcode
Feedback for Dagstuhl Publishing