@conference {906,
	title = {Detecting Text Reuse and Similarities between Artists in Rap Music through Visualization},
	booktitle = {LEVIA{\textquoteright}20: Leipzig Symposium on Visualization in Applications 2020},
	year = {2020},
	address = {Leipzig},
	abstract = {Detecting references and similarities in music lyrics
can be a difficult task. Crowdsourced knowledge platforms like
Genius can help in this process through user annotated
information about the artist and the song but fail to include
visualizations to help users finding similarities and structures on
a higher and more abstract level. We propose a prototype to
detect and visualize the similarity of rap artists based on their
lyrics and monolingual alignments of song lyrics. For this, we
apply word and sentence embeddings to lyrics we crawled from
Genius.},
	keywords = {Intertextuality, Text Reuse, Visualization},
	doi = {10.31219/osf.io/j4cn8},
	url = {https://osf.io/j4cn8/},
	author = {Meinecke, Christofer and J{\"a}nicke, Stefan}
}
@article {849,
	title = {A Survey on Visualizations for Musical Data},
	journal = {Computer Graphics Forum},
	year = {2020},
	abstract = {Digital methods are increasingly applied to store, structure and analyse vast amounts of musical data. In this context, visualization plays a crucial role, as it assists musicologists and non-expert users in data analysis and in gaining new knowledge.
This survey focuses on this unique link between musicology and visualization. We classify 129 related works according to the
visualized data types, and we analyse which visualization techniques were applied for certain research inquiries and to fulfill
specific tasks. Next to scientific references, we take commercial music software and public websites into account, that contribute
novel concepts of visualizing musicological data. We encounter different aspects of uncertainty as major problems when dealing
with musicological data and show how occurring inconsistencies are processed and visually communicated. Drawing from our
overview in the field, we identify open challenges for research on the interface of musicology and visualization to be tackled in
the future.},
	doi = {10.1111/cgf.13905},
	author = {Khulusi, Richard and Kusnick, Jakob and Meinecke, Christofer and Christina Gillmann and Focht, Josef and J{\"a}nicke, Stefan}
}
@conference {887,
	title = {Automated Alignment of Medieval Text Versions based on Word Embeddings},
	booktitle = {LEVIA{\textquoteright}19: Leipzig Symposium on Visualization in Applications 2019},
	year = {2019},
	address = {Leipzig},
	abstract = {Medieval textuality is characterized by instability in text structure and length that varies according to the text tradition. This instability in the versions, otherwise known as {\textquotedblleft}mouvance{\textquotedblright}, is characterized by dialectal difference, traces of orality, the modification of wording and even the rewriting and rearrangement of large parts of the text. To help humanities scholars in the exploratory analysis of such complex text collections, the visual analytic system iteal was initially proposed. The system aligns similar phrases on a line-level on the basis of string similarity and word n-grams. We propose an extension of this system that replaces the parameter-based approach with an automatic one using word embeddings thereby adding a semantic component. The benefit of the new visualization system is shown through a comparison of different versions of medieval French texts. Additionally, a domain-expert compared the parameter-based approach with the approach based on word embeddings to outline the similarities and differences in the alignments.},
	keywords = {Digital Humanities, Sentence Alignment, Visualization, Word Embedding},
	doi = {10.31219/osf.io/tah3y},
	url = {https://levia19.vizcovery.de/papers/LEVIA19_paper_6.pdf},
	author = {Meinecke, Christofer and Wrisley, David Joseph and J{\"a}nicke, Stefan}
}
@conference {889,
	title = {Interactive Visual Exploration of Engineers{\textquoteright} Biographies},
	booktitle = {EADH 2018: Data in Digital Humanities},
	year = {2018},
	address = {Galway},
	url = {https://eadh2018.exordo.com/files/papers/54/final_draft/Interactive_Visual_Exploration_of_Engineers_Biographies.pdf},
	author = {Meinecke, Christofer and J{\"a}nicke, Stefan}
}
@conference {888,
	title = {Visual Analysis of Engineers{\textquoteright} Biographies and Engineering Branches},
	booktitle = {LEVIA{\textquoteright}18 : Leipzig Symposium on Visualization in Applications},
	year = {2018},
	address = {Leipzig},
	abstract = {The Prosopographic Database of German Engineers 1825{\textendash}1970 contains a multitude of biographical information. Given a set of research interests by collaborating historians, this paper discusses the steps undertaken (1) to extract engineering subjects from unstructured text entries in the database accompanied with geospatial and temporal information,(2) to adapt existing visual representations to facilitate exploratory analyses, and (3) to design a visual interface to support the interactive composition of engineering branches from engineering subjects to enable the comparative analysis of geospatial-temporal developments in engineering. Usage scenarios outline the benefit of the proposed visualizations for modern prosopography research.},
	keywords = {Digital Humanities, prosopographic visualization, visual exploration},
	url = {https://levia18.vizcovery.de/paper/levia18-meinecke.pdf},
	author = {Meinecke, Christofer and J{\"a}nicke, Stefan}
}
