urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:	edition	
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:1	body	
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:1.1	div	
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:1.2	div1	
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:1.2.1	p	the workshop presents athen <ref xmlns="http://www.tei-c.org/ns/1.0" target="ftn1" n="1" /> (<hi xmlns="http://www.tei-c.org/ns/1.0" rend="bold">a</hi>nnotation and <hi xmlns="http://www.tei-c.org/ns/1.0" rend="bold">t</hi>ext <hi xmlns="http://www.tei-c.org/ns/1.0" rend="bold">h</hi>ighlighting <hi xmlns="http://www.tei-c.org/ns/1.0" rend="bold">en</hi>vironment), an extensible desktop-based annotation environment which supports more than just regular annotation. besides being a general purpose annotation environment, athen supports indexing and querying support of your data as well as the ability to automatically preprocess your data with meta information. it is especially suited for those who want to extend existing general purpose annotation tools by implementing their own custom features, which cannot be fulfilled by other available annotation environments. on the according gitlab, we provide online tutorials, which demonstrate the use of specific features of athen.
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:1.3	div1	
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:1.3.1	p	we compare athen to three web-based and four desktop applications in 12 categories by adapting most criteria defined by neves and leser (neves / leser 2012) to compare different annotation tools:
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:1.3.2	p	we explicitly do not want to compare subjective features like usability or how the annotations are presented.
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:1.3.3	p	all of the listed tools have an accessible documentation, either web-based or as a pdf, available for download. besides uam (o'donnell 2008), every other application is listed as open source, so at least extensions based on code level can be made. webanno (yimam et al. 2013) is the only application having a tutorial supporting a new developer to make changes in their project. athen stands out in the sense that extensions to its ui can be made at runtime, therefore easing the process of adding functionality to it. webanno supports the largest number of formats and comes with a machine learning based automatic annotation, however lacks integrated nlp-preprocessing. catma (meister 2017) is the only project that has a very good visualization component and also supports tei-xml (wittern et al 2009), the unspoken standard of text processing. being a standalone web application, catma itself does not support nlp-preprocessing. athen comes with the support of the execution of uima analysis engines, accessible from web repositories or a local repository, giving the user a chance to integrate her custom-made annotators. four tools, athen, uam, mmax2 (müller / strube 2006) and catma feature an integrated query language which helps to analyze existing corpora. most tools allow the annotation of user-defined annotation schemas earning therefore the title “generic annotation tool”. alongside uam, athen supports the annotation based on queries, while uam defines its own language, athen supports the annotation using apache uima ruta (kluegl et al. 2016) rules. three of the listed tools, mmax2, knowtator (ogren 2006) and wordfreak (morton / lacivita 2003) are currently no longer in active development.
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:1.4	div1	
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:1.4.1	p	athen is a java-based desktop application with the vision to be extensible. therefore, it makes use of the flexible plugin architecture of the eclipse <hi xmlns="http://www.tei-c.org/ns/1.0" rend="bold">r</hi>ich- <hi xmlns="http://www.tei-c.org/ns/1.0" rend="bold">c</hi>lient- <hi xmlns="http://www.tei-c.org/ns/1.0" rend="bold">p</hi>latform (rcp) <ref xmlns="http://www.tei-c.org/ns/1.0" target="ftn2" n="2" />. internally, it is built around apache uima, which means incoming data is automatically converted into the uima specific common analysis subject (cas) architecture. working with uima allows the integration of standalone analysis engines, which can be used to preprocess data and speed up manual annotation. the use of apache lucene enables athen to create an index comprising documents, as well as their annotations, which results in queries that can answer questions based on text and meta information in real time. with the ability to execute apache uima ruta one can even create queries of far higher complexity. on top of that, athen features owl-support, which allows the definition of an ontological annotation schema in a machine- readable format. using apache uima internally allows athen to even address more complicated input. currently athen supports the annotation of image regions, based on user defined polygons.
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:1.5	div1	
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:1.5.1	p	the program is split into four sections:
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:1.5.2	p	the first section is a presentation which shows the main differences between the existing annotation tools. the second section defines an ordinary annotation scenario and it is used to introduce the participants to the general-purpose annotation view of athen. afterwards, for tasks to which athen has special support (annotating character references and their coreferences, annotating direct speech and their speaker) an introduction to the special purpose views of athen is given.
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:1.5.3	p	the third panel introduces the participants to the functionality of athen beyond regular text annotation. it starts with the definition of an owl ontology (and its utilization for texts). this is centered on relation detection of character references, as well as an attribution of those references.
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:1.5.4	p	to speed up manual annotation it is helpful to have it preprocessed with existing tools. the task definition is then changed from pure annotation to an application with a consecutive correction of the output of the automatic engines. in this context, nappi, a submodule of athen is presented and it is shown how to define, execute and integrate custom analysis engines.
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:1.5.5	p	the next part is dedicated towards extracting knowledge from annotated data, for this purpose, an apache lucene index is created using athen and is queried in a live fashion. this feature allows rapid insight into an existing corpus and enables the user to answer their own hypothesis.
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:1.5.6	p	the tutorial continues with the presentation of how images can be annotated with polygon-based annotations to show, that athen is not only limited to textual resources.
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:1.5.7	p	the last part is directed towards java developers who are interested in developing their own annotation component.
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:1.5.8	p	each section starts with a set of slides which introduce the features in focus and presents the participants with one or more tasks that can be fulfilled by using athen.
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:1.6	div1	
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:1.6.1	p	the participants need their own laptops with an active internet connection. the number of participants is limited to 15 to 20. the last section requires knowledge of java. data which is necessary for the tutorials will be hosted on our own server and will be made accessible for download.
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:1.7	div1	
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:1.7.1	p	athen is mainly developed in the context of the project kallimachos at the university of wuerzburg. its main purpose was to support the annotation process of droc ( <hi xmlns="http://www.tei-c.org/ns/1.0" rend="bold">d</hi>eutscher <hi xmlns="http://www.tei-c.org/ns/1.0" rend="bold">ro</hi>man <hi xmlns="http://www.tei-c.org/ns/1.0" rend="bold">c</hi>orpus). currently automatic creation of literary interaction networks, automatic genre detection of novels and sentiment analysis in literary novels are in the focus of interest.
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:1.7.2	p	an extension to athen was made in the project “redewiedergabe” to manually annotate different forms of speech, thought and writing representation (stwr). these annotations will then be used to train an automatic recognizer for stwr.
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:2	back	
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:2.1	notes	<note xmlns="http://www.tei-c.org/ns/1.0" xml:id="ftn1" n="1"> <ref target="https://gitlab2.informatik.uni-wuerzburg.de/kallimachos/athen">https://gitlab2.informatik.uni-wuerzburg.de/kallimachos/athen</ref> </note> <note xmlns="http://www.tei-c.org/ns/1.0" xml:id="ftn2" n="2" rend="footnote text">a web version of athen with its major features is available at: <ref target="https://webathen.informatik.uni-wuerzburg.de">https://webathen.informatik.uni-wuerzburg.de</ref> </note>
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:2.2	bibliogr	
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:2.2.1	listBibl	
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:2.2.1.1	bibl	<hi xmlns="http://www.tei-c.org/ns/1.0" rend="bold">kluegl, peter / toepfer, martin / beck, philip-daniel / fette, georg / puppe, frank</hi> (2016): “uima ruta: rapid development of rule-based information extraction applications“, in: <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">natural language engineering 22.1</hi> 1-41.
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:2.2.1.2	bibl	<hi xmlns="http://www.tei-c.org/ns/1.0" rend="bold">meister, jan christoph / gius, evelyn / jacke, janina / petris, marco</hi>: <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">catma 5.0.</hi> <ref xmlns="http://www.tei-c.org/ns/1.0" target="http://catma.de/">http://catma.de/</ref> [accessed september 22, 2017].
urn:cts:dhd:2018.krug_markus_annotation_and_beyond_using_athen:2.2.1.3	bibl	<hi xmlns="http://www.tei-c.org/ns/1.0" rend="bold">morton, thomas / lacivita, jeremy</hi> (2003): “wordfreak: an open tool for linguistic annotation“, in: <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">proceedings of the 2003 conference of the north american chapter of the association for computational linguistics on human language technology: demonstrations-volume 4 </hi>17-18.
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