literature.bib

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@Article{Hui2012,
  author   = {Hui, Yuk},
  title    = {What is a digital object?},
  journal  = {Metaphilosophy},
  year     = {2012},
  volume   = {43},
  pages    = {380-395},
  abstract = {We find ourselves in a media‐intensive milieu comprising networks, images, sounds, and text, which we generalize as data and metadata. How can we understand this digital milieu and make sense of these data, not only focusing on their functionalities but also reflecting on our everyday life and existence? How do these material constructions demand a new philosophical understanding? Instead of following the reductionist approaches, which understand the digital milieu as abstract entities such as information and data, this article proposes to approach it from an embodied perspective: objects. The article contrasts digital objects with natural objects (e.g., apples on the table) and technical objects (e.g., hammers) in phenomenological investigations, and proposes to approach digital objects from the concept of “relations,” on the one hand the material relations that are concretized in the development of mark‐up languages, such as SGML, HTML, and XML, and on the other hand, Web ontologies, the temporal relations that are produced and conditioned by the artificial memories of data.},
  doi      = {10.1111/j.1467-9973.2012.01761.x},
}

@Article{Droege2010,
  author   = {Dröge, Evelyn},
  title    = {{Leitfaden für das Verbinden von Ontologien}},
  journal  = {Information Wissenschaft und Praxis},
  year     = {2010},
  volume   = {61},
  number   = {2},
  pages    = {143-147},
  abstract = {Dadurch, dass in Ontologien beliebige Relationen verwendet werden können (Peters & Weller, 2008), funktioniert auch das Verbinden ganz anders als beispielsweise das Zusammenführen mehrerer klassischer Datenbanken. Wie auch bei dem Verbinden von hierarchischen Ordnungssystemen können ähnliche Klassen gefunden und gegebenenfalls zusammengeführt werden. Der automatische Vergleich von Relationen untereinander wird erleichtert, falls diese formal beschrieben wurden. Viele Ansätze für das Verbinden von Ontologien berücksichtigen leider nicht beide Aspekte des Zusammenführens: Es gibt sowohl schema-based Ansätze, die sich nur auf ein gesamtes Schema, das eine Ontologie repräsentiert konzentrieren, als auch instance-based Ansätze, bei denen einzelne Elemente miteinander verbunden werden (Lanzenberger & Sampson, 2008).},
  url      = {http://www.phil-fak.uni-duesseldorf.de/fileadmin/Redaktion/Institute/Informationswissenschaft/forschung/wissensrepraesentation/1268059439iwp_61_201.pdf},
}

@Booklet{Flanders2015,
  title    = {Knowledge organization and data modeling in the humanities},
  author   = {Flanders, Julia and Jannidis, Fotis},
  year     = {2015},
  abstract = {Based on the results of a 3-day workshop at the Brown University (2012) this white paper tries to sum up important topics and problems which came up in the presentations and discussions and to outline some general aspects of data modeling in digital humanities. Starting with an attempt to define data modeling it introduces distinctions like curation-driven vs. research-driven for a more general description of data modeling. The second part discusses specific problems and challenges of data modeling in the Humanities, while the third part outlines practical aspects, like the creation of data models or their evaluation.},
  keywords = {Data Modeling; Digital Humanities},
  url      = {https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-111270},
}

@Article{Brandes2013,
  author   = {Brandes, Ulrik and Robins, Garry and McCranie, Ann and Wasserman, Stanley},
  title    = {What is network science?},
  journal  = {Network Science},
  year     = {2013},
  volume   = {1},
  number   = {1},
  pages    = {1-15},
  abstract = {This is the beginning of Network Science. The journal has been created because network science is exploding. As is typical for a field in formation, the discussions about its scope, contents, and foundations are intense. On these first few pages of the first issue of our new journal, we would like to share our own vision of the emerging science of networks.},
  doi      = {10.1017/nws.2013.2},
}

@Article{Shanks2007,
  author   = {Shanks, Michael},
  title    = {Symmetrical archaeology},
  journal  = {World Archaeology},
  year     = {2007},
  volume   = {39},
  pages    = {589-596},
  abstract = {Symmetry is an epistemological and ethical principle developed in the social study of scientific practice. This essay connects a symmetrical archaeology to major trends in the discipline since the 1960s and to key components of archaeological practice – relational ontologies, mixtures of past and present, people and things, biology and culture, individual and society. Symmetrical archaeology is a culmination of effort in archaeology to undercut these modernist dualities and to recognize the vitality of the present past. Symmetry adds new force to the claim that archaeologists have a unique perspective on human engagements with things, on social agency and constructions of contemporary identity.},
  doi      = {10.1080/00438240701679676},
  keywords = {Sociology of knowledge material culture theory science studies in archaeology},
}

@TechReport{Gil2010,
  author      = {Gil, Yolanda and Cheney, James and Groth, Paul and Hartig, Olaf and Miles, Simon and Moreau, Luc and Pinheiro da Silva, Paulo},
  title       = {Provenance xg final report},
  institution = {W3C},
  year        = {2010},
  type        = {techreport},
  abstract    = {Given the increased interest in provenance in the Semantic Web area and in the Web community at large, the W3C established the Provenance Incubator Group as part of the W3C Incubator Activity with a charter to provide a state-of-the art understanding and develop a roadmap in the area of provenance and possible recommendations for standardization efforts. This document summarizes the findings of the group.},
  url         = {http://www.w3.org/2005/Incubator/prov/XGR-prov/},
}

@InProceedings{VanderSande2013,
  author    = {Vander Sande, Miel and Colpaert, Pieter and Verborgh, Ruben and Coppens, Sam and Mannens, Erik and Van de Walle, Rik},
  title     = {R\&Wbase: git for triples},
  booktitle = {6th Workshop on Linked Data on the Web, Proceedings},
  year      = {2013},
  pages     = {5},
  doi       = {1854/LU-3254494},
  issn      = {1613-0073},
  language  = {eng},
  location  = {Rio de Janeiro, Brazil},
}

@InProceedings{Graube2014,
  author    = {Markus Graube and Stephan Hensel and Leon Urbas},
  title     = {R43ples: Revisions for Triples - An Approach for Version Control in the Semantic Web},
  booktitle = {Proceedings of the 1st Workshop on Linked Data Quality co-located with 10th International Conference on Semantic Systems, LDQ@SEMANTiCS 2014, Leipzig, Germany, September 2nd, 2014},
  year      = {2014},
  editor    = {Magnus Knuth and Dimitris Kontokostas and Harald Sack},
  volume    = {1215},
  series    = {{CEUR} Workshop Proceedings},
  publisher = {CEUR-WS.org},
  url       = {http://ceur-ws.org/Vol-1215/paper-03.pdf},
}

@InProceedings{Meinhardt2015,
  author    = {Meinhardt, Paul and Knuth, Magnus and Sack, Harald},
  title     = {TailR: A Platform for Preserving History on the Web of Data},
  booktitle = {Proceedings of the 11th International Conference on Semantic Systems},
  year      = {2015},
  series    = {SEMANTICS ’15},
  pages     = {57–64},
  address   = {New York, NY, USA},
  publisher = {Association for Computing Machinery},
  doi       = {10.1145/2814864.2814875},
  isbn      = {9781450334624},
  keywords  = {history, RDF, memento, linked data, versioning},
  location  = {Vienna, Austria},
  numpages  = {8},
  url       = {https://doi.org/10.1145/2814864.2814875},
}

@Article{Neumann2010,
  author     = {Neumann, Thomas and Weikum, Gerhard},
  title      = {X-RDF-3X: Fast Querying, High Update Rates, and Consistency for RDF Databases},
  journal    = {Proceedings of the VLDB Endowment},
  year       = {2010},
  volume     = {3},
  number     = {1–2},
  pages      = {256–263},
  month      = sep,
  issn       = {2150-8097},
  doi        = {10.14778/1920841.1920877},
  issue_date = {September 2010},
  numpages   = {8},
  publisher  = {VLDB Endowment},
  url        = {https://doi.org/10.14778/1920841.1920877},
}

@Article{Taelman2019,
  author  = {Taelman, Ruben and Vander Sande, Miel and Van Herwegen, Joachim and Mannens, Erik and Verborgh, Ruben},
  title   = {Triple Storage for Random-Access Versioned Querying of RDF Archives},
  journal = {Journal of Web Semantics},
  year    = {2019},
  volume  = {54},
  pages   = {4--28},
  month   = jan,
  doi     = {10.1016/j.websem.2018.08.001},
  url     = {https://rdfostrich.github.io/article-jws2018-ostrich/},
}

@Article{Kilgarriff2005,
  author   = {Kilgarriff, Adam},
  title    = {Language is never ever ever random},
  journal  = {Corpus Linguistics and Linguistic Theory},
  year     = {2005},
  volume   = {1},
  number   = {2},
  pages    = {263-276},
  abstract = {Language users never choose words randomly, and language is essentially non-random. Statistical hypothesis testing uses a null hypothesis, which posits randomness. Hence, when we look at linguistic phenomena in corpora, the null hypothesis will never be true. Moreover, where there is enough data, we shall (almost) always be able to establish that it is not true. In corpus studies, we frequently do have enough data, so the fact that a relation between two phenomena is demonstrably non-random, does not support the inference that it is not arbitrary. We present experimental evidence of how arbitrary associations between word frequencies and corpora are systematically non-random. We review literature in which hypothesis testing has been used, and show how it has often led to unhelpful or misleading results.},
  doi      = {10.1515/cllt.2005.1.2.263},
  url      = {https://kilgarriff.co.uk/Publications/2005-K-lineer.pdf},
}

@Article{Wills2020,
  author   = {Wills, Peter and Meyer, François G.},
  title    = {Metrics for graph comparison: A practitioner’s guide},
  journal  = {PLoS ONE},
  year     = {2020},
  volume   = {15},
  number   = {2},
  abstract = {Comparison of graph structure is a ubiquitous task in data analysis and machine learning, with diverse applications in fields such as neuroscience, cyber security, social network analysis, and bioinformatics, among others. Discovery and comparison of structures such as modular communities, rich clubs, hubs, and trees yield insight into the generative mechanisms and functional properties of the graph. Often, two graphs are compared via a pairwise distance measure, with a small distance indicating structural similarity and vice versa. Common choices include spectral distances and distances based on node affinities. However, there has of yet been no comparative study of the efficacy of these distance measures in discerning between common graph topologies at different structural scales. In this work, we compare commonly used graph metrics and distance measures, and demonstrate their ability to discern between common topological features found in both random graph models and real world networks. We put forward a multi-scale picture of graph structure wherein we study the effect of global and local structures on changes in distance measures. We make recommendations on the applicability of different distance measures to the analysis of empirical graph data based on this multi-scale view. Finally, we introduce the Python library NetComp that implements the graph distances used in this work.},
  doi      = {10.1371/journal.pone.0228728},
}

@Article{Lem2020,
  author  = {Lem, Pola},
  title   = {Humanities data sharing ‘should consider non-traditional channels’},
  journal = {Research Professional News},
  year    = {2020},
  month   = feb,
  url     = {https://www.researchprofessionalnews.com/rr-news-europe-universities-2020-2-humanities-data-sharing-should-consider-non-traditional-channels/},
}

@Booklet{Harrower2020,
  title    = {Sustainable and fair data sharing in the humanities},
  author   = {Harrower, Natalie and Maryl, Maciej and Biro, Timea and Immenhauser, Beat},
  year     = {2020},
  abstract = {The ALLEA report “Sustainable and FAIR Data Sharing in the Humanities” provides key recommendations to make digital data in the humanities “Findable, Accessible, Interoperable and Reusable”, in line with the FAIR principles. The document is designed as a practical guide to help scholars, research funders, professionals and policymakers navigate the shift towards a sustainable data sharing culture.
},
  doi      = {10.7486/DRI.tq582c863},
}

@Article{Landesberger2011,
  author   = {von Landesberger, T. and Kuijper, A. and Schreck, T. and Kohlhammer, J. and van Wijk, J. J. and Fekete, J.-D. and Fellner, D. W.},
  title    = {Visual analysis of large graphs: state‐of‐the‐art and future research challenges},
  journal  = {Computer Graphics Forum},
  year     = {2011},
  volume   = {30},
  number   = {6},
  pages    = {1719-1749},
  abstract = {The analysis of large graphs plays a prominent role in various fields of research and is relevant in many important application areas. Effective visual analysis of graphs requires appropriate visual presentations in combination with respective user interaction facilities and algorithmic graph analysis methods. How to design appropriate graph analysis systems depends on many factors, including the type of graph describing the data, the analytical task at hand and the applicability of graph analysis methods. The most recent surveys of graph visualization and navigation techniques cover techniques that had been introduced until 2000 or concentrate only on graph layouts published until 2002. Recently, new techniques have been developed covering a broader range of graph types, such as time-varying graphs. Also, in accordance with ever growing amounts of graph-structured data becoming available, the inclusion of algorithmic graph analysis and interaction techniques becomes increasingly important. In this State-of-the-Art Report, we survey available techniques for the visual analysis of large graphs. Our review first considers graph visualization techniques according to the type of graphs supported. The visualization techniques form the basis for the presentation of interaction approaches suitable for visual graph exploration. As an important component of visual graph analysis, we discuss various graph algorithmic aspects useful for the different stages of the visual graph analysis process. We also present main open research challenges in this field.},
  doi      = {10.1111/j.1467-8659.2011.01898.x},
  keywords = {visual graph analysis, graph visualization, graph interaction, visual analytics, Data Structures E.1: Graphs and Networks, Trees, Mathematics of Computing G.2.2: Discrete Mathematics, Graph Theory H.4: Information Systems: Applications, Information Systems H.5.2: Interfaces and Presentation, User Interfaces},
}

@InProceedings{Beck2014,
  author    = {Beck, Fabian and Burch, Michael and Diehl, Stephan and Weiskopf, Daniel},
  title     = {The state of the art in visualizing dynamic graphs},
  booktitle = {EuroVis - STARs},
  year      = {2014},
  editor    = {R. Borgo and R. Maciejewski and I. Viola},
  publisher = {The Eurographics Association},
  abstract  = {Dynamic graph visualization focuses on the challenge of representing the evolution of relationships between entities in readable, scalable, and effective diagrams. This work surveys the growing number of approaches in this discipline. We derive a hierarchical taxonomy of techniques by systematically categorizing and tagging publications. While static graph visualizations are often divided into node-link and matrix representations, we identify the representation of time as the major distinguishing feature for dynamic graph visualizations: either graphs are represented as animated diagrams or as static charts based on a timeline. Evaluations of animated approaches focus on dynamic stability for preserving the viewer's mental map or, in general, compare animated diagrams to timeline-based ones. Finally, we identify and discuss challenges for future research.},
  doi       = {10.2312/eurovisstar.20141174},
  isbn      = {978-3-03868-028-4},
}

@Article{Doerk2017,
  author   = {Dörk, Marian and Pietsch, Christopher and Credico, Gabriel},
  title    = {One view is not enough. high-level visualizations of a large cultural collection},
  journal  = {Information Design Journal},
  year     = {2017},
  volume   = {23},
  number   = {1},
  pages    = {39-47},
  abstract = {As cultural institutions are digitizing their artifacts and interlinking their collections, new opportunities emerge to engage with cultural heritage. However, it is the often comprehensive and complex nature of collections that can make it difficult to grasp their distribution and extent across a variety of dimensions. After a brief introduction to the research area of collection visualizations, this paper presents a design study visualizing an aggregated collection from diverse cultural institutions in Germany. We detail our iterative design process leading to prototypical implementations of four stylistically and functionally coordinated visualizations, each one focusing on different facets of the collection.},
  doi      = {10.1075/idj.23.1.06dor},
  keywords = {information visualization, cultural collections, interface design, overviews, visual analytics, digital humanities},
}

@Article{Neill2019,
  author   = {Neill, Iian and Kuczera, Andreas},
  title    = {The codex – an atlas of relations},
  journal  = {Zeitschrift für digitale Geisteswissenschaften},
  year     = {2019},
  volume   = {Sonderband 4},
  abstract = {This paper looks at how deep integration between text and data is attempted in The Codex project. Standoff properties are used to mediate between the plain text stream and entities modelled in the Neo4j graph database. A dynamic standoff property text editor was constructed to enable real-time changes to text and annotations without invalidating standoff property indexes. An examination of the multidimensional affordances offered by standoff properties is explored, with reference to how annotations and graph entities can combine to construct an ›atlas of history‹ using Codex. },
  doi      = {10.17175/sb004_008},
  keywords = {graph database, semantic data model, text analysis, knowledge representation},
}

@article{Alieva2020,
    author = {Alieva, Jamila and Haartman, Robin },
    title = {Digital Muda - The New Form of Waste by Industry 4.0},
    journal = {Operations and Supply Chain Management: An International Journal},
    volume = {13},
    number = {3},
    pages = {269--278},
    year = {2020},
    publisher = {OSCM Forum},
    doi = {http://doi.org/10.31387/oscm0420268}
} 

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