Browsing by Subject "Linked Data"

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  • Leskinen, Petri; Miyakita, Goki; Koho, Mikko; Hyvönen, Eero (2018)
    This paper discusses practical experiences on creating data-analytic visualizations in a browser, on top of a SPARQL endpoint based on the results of faceted search. Four use cases related to Digital Humanities research in proposography are discussed where the SPARQL Faceter tool was used and extended in different ways. The Faceter tool allows the user to select a group of people with shared properties, e.g., people with the same place of birth, gender, profession, or employer. The filtered data can then be visualized, e.g., as column charts, with business graphics, sankey diagrams, or on a map. The use cases examine the potential of visualization as well as automated knowledge discovery in Digital Humanities research.
  • Koho, Mikko; Ikkala, Esko; Hyvönen, Eero (2018)
  • Miyakita, Goki; Leskinen, Petri; Hyvönen, Eero Antero (Springer, 2018)
    Lecture notes in computer science
    This paper shows how biographical registries can be represented as Linked Data, enriched by data linking to related data sources, and used in Digital Humanities. As a use case, a database of 11 987 historical U.S. Congress Legislators in 1789–2018 was transformed into a knowledge graph. The data was published as a Linked Data service, including a SPARQL endpoint, on top of which tools for biographical and prosopographical research are implemented. A faceted browser named U.S. Congress Prosopographer with visualization tools for knowledge discovery is presented to provide new insights in political history.
  • Hyvönen, Eero (2020)
    This paper discusses a shift of focus in research on Cultural Heritage semantic portals, based on Linked Data, and envisions and proposes new directions of research. Three generations of portals are identified: Ten years ago the research focus in semantic portal development was on data harmonization, aggregation, search, and browsing ('first generation systems'). At the moment, the rise of Digital Humanities research has started to shift the focus to providing the user with integrated tools for solving research problems in interactive ways ('second generation systems'). This paper envisions and argues that the next step ahead to 'third generation systems' is based on Artificial Intelligence: future portals not only provide tools for the human to solve problems but are used for finding research problems in the first place, for addressing them, and even for solving them automatically under the constraints set by the human researcher. Such systems should preferably be able to explain their reasoning, which is an important aspect in the source critical humanities research tradition. The second and third generation systems set new challenges for both computer scientists and humanities researchers.