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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Correspondence: a Linked Data Service and Portal for Studying Large and Small Networks of Epistolary Exchange in the Grand Duchy of Finland</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Jouni Tuominen</string-name>
          <email>jouni.tuominen@helsinki.fi</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Mikko Koho</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Ilona Pikkanen</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Senka Drobac</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Johanna Enqvist</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Eero Hyvönen</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Matti La Mela</string-name>
          <xref ref-type="aff" rid="aff3">3</xref>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Petri Leskinen</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Hanna-Leena Paloposki</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Heikki Rantala</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Aalto University (Semantic Computing Research Group (SeCo))</institution>
          ,
          <country country="FI">Finland</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Finnish Literature Society</institution>
          ,
          <country country="FI">Finland</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Finnish National Gallery</institution>
          ,
          <country country="FI">Finland</country>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution>University of Helsinki (HSSH, HELDIG, Cultural heritage studies)</institution>
          ,
          <country country="FI">Finland</country>
        </aff>
        <aff id="aff4">
          <label>4</label>
          <institution>Uppsala University</institution>
          ,
          <country country="SE">Sweden</country>
        </aff>
      </contrib-group>
      <fpage>415</fpage>
      <lpage>423</lpage>
      <abstract>
        <p>This paper presents the vision of aggregating, harmonizing, and publishing letter catalog metadata (information e.g. of senders, receivers and datings of letters) from cultural heritage (CH) institutions in Finland as a single reconciled Linked Open Data (LOD) service and a semantic portal providing data analytical tools for researchers. The research is conducted as part of the consortium research project Constellations of Correspondence (CoCo). The target of the project is to study - for the first time - scattered, heterogeneous epistolary metadata regarding the period of the Grand Duchy of Finland (1809-1917) as one, integrated dataset and make it interoperable and available. This will enable scholars to ask ambitious research questions in the field of computer science and to conduct empirical, bottom-up case studies e.g. on epistolary culture, communicative networks, and heritagization processes. This paper discusses one of the first datasets acquired by the project, the letter collection of the Board of the Finnish Art Society (1846-1901), provided by the Finnish National Gallery, which contains details of c. 1150 letters sent or received by c. 400 actors.</p>
      </abstract>
      <kwd-group>
        <kwd>Epistolary culture</kwd>
        <kwd>letter metadata</kwd>
        <kwd>Linked Open Data</kwd>
        <kwd>semantic portal</kwd>
        <kwd>data analysis</kwd>
        <kwd>visualization</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>
        Letters are essential sources for a wide variety of historical humanities. However, quantitative
analyses are mostly absent even from the inquiries to epistolary cultures or letter-writing as a
CEUR
Workshop
Proceedings
social practice [
        <xref ref-type="bibr" rid="ref1 ref2">1, 2</xref>
        ]. The strong paradigm of close reading has rendered quantitative questions
largely irrelevant. At the same time, as in the Finnish case, Cultural Heritage (CH) institutions
(archives, museums, libraries) can rarely provide any reliable information as to the number of
letters in their collections, which has also efectively prevented quantitative inquiries.
      </p>
      <p>Constellations of Correspondence: Relational Study of Large and Small Networks of Epistolary
Exchange in the Grand Duchy of Finland (CoCo) project’s1 main goal is to unite epistolary
metadata of siloed collections and provide access to the harmonized, linked, and enriched
dataset. A central output of the project will be an open data publication of aggregated letter
catalog metadata that has been previously unavailable as a data resource. This will ofer a
new entry point to 19th-century epistolary culture, and it will enable both quantitative and
qualitative analyses. Moreover, the project develops and utilizes social network analysis, data
visualization, and knowledge discovery methods to respond to the empirical research questions.
The analysis tools are packaged and provided for public and scholarly use as a LOD service,
SPARQL endpoint, and semantic portal.</p>
      <p>
        The project is currently surveying and collecting data from letter metadata collections
scattered in diferent CH institutions in Finland. The collected datasets will be transformed into
a harmonizing data model accompanied by automatic and manually curated disambiguation
processes for the reconciliation of the identities of pivotal entities (people, places). The
recognized people are linked to established LOD registers and enriched with their metadata, such as
occupation and gender. An ontology of historical occupations [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ] is used to link to information
about social stratification provided via the HISCO standard [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ]. For datasets with full-text
contents of letters, we investigate options for enriching the metadata by utilizing natural
language processing methods, such as named entity recognition. Possibilities of hand-written text
recognition of digitized letters will be explored.
      </p>
      <p>In the following sections, we present background on studying epistolary metadata collections,
outline the currently available metadata collections we plan to use in the project, discuss initial
ideas on the harmonized letter data model, data ingestion/aggregation workflow, and data
publication, provide an initial demonstrator on a single letter metadata collection, and conclude
with a general discussion.</p>
    </sec>
    <sec id="sec-2">
      <title>2. What can epistolary metadata tell us?</title>
      <p>The material aggregated during the project will enable us to ask ”big questions” regarding
temporal patterns and trends of epistolary culture (How much correspondence as a whole and
in chosen decades? Are there unexpected changes e.g. in the amount of letter exchange?).
We can also utilize diferent visualization tools and quantitative measures e.g. from network
science in order to find out who are the communicative hubs in diferent collections and in
the 19th-century corpus as the whole. Are they persons we might expect in terms of corpus
composition, or do the network metrics point beyond the ”usual suspects”, indicating need for
further qualitative research and close-reading?</p>
      <p>An equally important aspect is the study of the collections and the heritagization process
related to their composition. The collections – and also their metadata – mirror what was
considered worth saving as heritage for the emerging nation and fit with the idea of the newborn
Finnish national identity. As one result, we will acquire a more profound understanding
regarding the ”data profiles” of diferent CH institutions (How do the explicit collection policies
relate to the actual data they have accumulated?; Do the collections have specific temporal
and gender profiles?). Such collection-related research is also a central part of the validation
of the subsequent data models and visualizations and will form a backbone of source or ”data
criticism” when the data is being used as a point of departure for humanistic inquiries.</p>
      <p>The more specific research questions of this paper are connected to the letter collection of the
Finnish Art Society (FAS) (in Finnish Suomen Taideyhdistys, STY), a predecessor of the present
Finnish National Gallery and founded in 1846. Its role in the formation of the Finnish art world
with all its institutions was crucial and it soon became the key actor in the 19th-century cultural
ifeld. The letters in this set were (and still are) attachments to the minutes of the Art Society, its
board and other organs. In other words, they mainly contain issues that were discussed in the
meetings. The set includes both letters sent by the Art Society and its representatives (copies)
and letters sent to it. The minutes with the attachments and the letters are published online2.
We will use the dataset of the FAS to briefly interrogate the usability of the visualizations
provided by the semantic portal for art historical research. What kinds of trends and patterns
can we observe in the data? Does it challenge or confirm the established image of the activities
of the FAS?</p>
    </sec>
    <sec id="sec-3">
      <title>3. Data</title>
      <p>Datasets. In the first phase of metadata acquisition the project has collaborated with a selection
of key CH institutions, including the Finnish National Gallery, Finnish Literature Society (SKS),
Swedish Literature Society in Finland (SLS), National Archives, and National Library. Moreover,
metadata about the correspondence of the ”national philosopher”, professor, and senator J. V.
Snellman has been acquired from the Edita Publishing House. These institutions together hold
central collections related to persons and institutions influential in the fields of art and literature,
learning, science, and politics. The collections of SKS and SLS also include documents compiled
by lower-class, uneducated people. In the course of 2022 and 2023, the project will expand its
datasets to include other sectors of society (e.g. business and economics) and material from
local museums and archives across Finland, which probably have much smaller but potentially
interesting collections (Can we for example find 19 th-century actors who wrote in minority
languages?). Moreover, we are currently assessing the possibility of acquiring metadata from
collections in private ownership. Such an inclusive data acquisition demands resources but is
vital for the representativeness of the data.</p>
      <p>The data comes in heterogeneous formats with diferent data granularities (from well-curated,
individualized metadata to extensive correspondences between two persons merged into one
metadata record). Most institutions have archival databases or systems, from where it is possible
to acquire data in structured formats and as data dumps, but some only or partly maintain
the epistolary metadata in MS Word format (see Table 1). In many cases, the project will be
responsible for filtering out 19 th-century metadata from a larger set of epistolary data.
Institution
National Gallery
SLS
Edita/Seco
SKS
National Gallery
SLS
SKS
National
Helsinki
National Library</p>
      <p>Data model. As part of the project, a harmonizing data model for epistolary metadata
collections will be developed. Compatibility with existing standards will be ensured, e.g.,
relevant CIDOC CRM classes and properties (e.g. crm:E5_Event, crm:E21_Person, crm:E53_Place,
CRM:E52_Time-Span) will be used. Central classes of the data model will include Letter, Place
(e.g. place of writing), Actor (e.g. sender, receiver), and Organization (e.g. host of collection),
accompanied with classes representing information related to the archival processes of letters,
e.g. Collection and Archival series. The core metadata of a letter includes sender, recipient,
place of writing/sending, place of receiving, time of writing/sending, and data source.</p>
      <p>
        Data ingestion/aggregation workflow. In the envisioned workflow for data processing,
ifrstly, each source dataset is converted into a simple, uniform RDF format. In this format,
all data fields in the source material are only converted into literal string-type values. The
simple RDF format will be the same for all source data, independent of their original format, e.g.,
spreadsheet, Word document, or an extract from an existing database. Secondly, the produced
simple RDF conversions are further harmonized into the applied CoCo data model. During
this process the literal values are converted to resources according to the data model schema,
e.g., actor names are split into family and given names, gender is statistically inferred from the
given names, and timespan resources are generated based on the literal expressions of time.
Next, actor and place resources are linked to external databases, e.g. Wikidata, GeoNames,
BiographySampo [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ], and AcademySampo [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ]. Available information about an actor, such as
given and family names, floruit, and possible geographical locations, is used for reconciliation.
Actor resources are enriched with biographical information, such as the times and places of birth
and death, name variations, vocations, known locations, inter-personal relations, and images.
Place resources are enriched with label variations, position in place hierarchy, images, and
geographical coordinates. Finally, the full CoCo dataset is assembled by reconciling all individual
datasets constructed from diferent sources. Reconciling will be done both computationally as
well as manually by domain experts. Furthermore, the data will be enriched by, e.g., calculating
network statistics and constructing resources of correspondence between two actors.
      </p>
      <p>
        Data publication and service. The letter metadata gathered in the project will be published
in an open Linked Data service LDF.fi with a permissive license, according to the Linked Data
publishing principles and other best practices of W3C [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ], including the provision of a public
SPARQL endpoint3, and FAIR principles4. The data service allows for building custom data
analyses in Digital Humanities research using, e.g., YASGUI5 [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ] and Python scripting in Jupyter
notebooks. The dataset will be accompanied with descriptive metadata enhancing its findability
and possibilities for re-use. In addition, the data will be published as data dump, e.g. in Zenodo.
By publishing the accumulated data as an open resource, new possibilities for distant and close
reading of epistolary metadata of the Grand Duchy of Finland will be provided.
      </p>
    </sec>
    <sec id="sec-4">
      <title>4. Semantic portal demonstrator</title>
      <p>
        To perform preliminary studies on the data, one of the source datasets was converted into RDF
using the LetterSampo framework [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ]. The chosen dataset, Finnish Art Society, Letters 1846–1901
data provided by the Finnish National Gallery, contains details of c. 1150 letters sent or received
by c. 400 actors. The actor data consists of both cultural organizations and Finnish people with
cultural significance, many of them having pages in, e.g., Finnish Wikipedia, AcademySampo,
or BiographySampo. To enrich the chosen test data, person records were linked to Wikidata
where c. 140 records were matched. The linkage was done by matching the person names and
comparing the years or birth and death to the known years of activity in the correspondences.
The data was enriched by importing details of e.g., birth, death, occupation, and person images.
      </p>
      <p>
        The semantic portal demonstrator is based on the Sampo model [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ] and is implemented
using the Sampo-UI programming framework [
        <xref ref-type="bibr" rid="ref11">11</xref>
        ]. In the user interface, the faceted search
for actor data allows the user to filter the results e.g. by a person’s name, gender, or times of
birth or death. As a result the user will acquire the possible image, full name, times of birth and
death, and number of letters sent or received by that particular actor.
      </p>
      <p>Two timelines of letters are depicted in Fig. 1. The upper one shows the 10 actors with the
largest numbers or sent (green dot) and received (blue dot) letters. The actor with the largest
number of letters both sent and received (Board of the FAS, STY:n johtokunta) appears at the
top of the timeline. In comparison, the other actors have floruited for clearly limited times. The
lower timeline in Fig. 1 illustrates the yearly amounts of letters in the test data set where it can
be noticed that most of the letters are dated between 1875–1900. In Fig. 2, the places of sending
the letters are visualized on a map.</p>
    </sec>
    <sec id="sec-5">
      <title>5. Discussion</title>
      <p>
        Domain knowledge representation, Semantic Web technologies, and shared ontologies, such
as CIDOC CRM, provide a sustainable and collaborative cyberinfrastructure for pursuing
humanist research [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ]. The CoCo project builds upon the experiences accumulated during
the Reassembling the Republic of Letters (RRL) [
        <xref ref-type="bibr" rid="ref13">13</xref>
        ], 1500–1800 (2014–2018) COST action
and works in close collaboration with the LetterSampo initiative6 [
        <xref ref-type="bibr" rid="ref14 ref9">14, 9</xref>
        ] that is building a
3https://www.w3.org/TR/sparql11-query/
4https://www.go-fair.org/fair-principles/
5https://yasgui.triply.cc
6https://seco.cs.aalto.fi/projects/rrl/
framework for representing, publishing, and using epistolary data as LOD on the Semantic Web
for Digital Humanities research. The work utilizes our previous eforts on AMMO ontology
of historical occupations, Bio CRM data model biographical information [
        <xref ref-type="bibr" rid="ref15">15</xref>
        ], Sampo-UI for
building semantic portals, and Linked Data publications of various cultural heritage datasets
(e.g. manuscripts, biographies). We collaborate with other correspondence metadata projects,
such as CKCC7 [
        <xref ref-type="bibr" rid="ref16 ref17">16, 17</xref>
        ], correspSearch [
        <xref ref-type="bibr" rid="ref18 ref19">18, 19</xref>
        ], SKILLNET8, the Early Modern Letters Online
(EMLO)9, and Norwegian Correspondences [
        <xref ref-type="bibr" rid="ref20">20</xref>
        ]. For modeling the textual contents of letters,
there exists the work by the TEI Special Interest Group on Correspondence10. Although the
CoCo project deals with Finnish data, the data model, reconciliation and enrichment workflow,
and analysis tools developed will be applicable to other datasets as well, as one of the goals of
the project is to produce a generic framework for producing LOD data publication based on
heterogeneous epistolary metadata collections.
      </p>
      <p>Compared to the many of the projects mentioned above, CoCo is focused on data that are
both temporarily and geographically more restricted but, due to this, much more comprehensive
and inclusive regarding 19th-century epistolary culture. A preliminary comparison between a
larger dataset lately accumulated by CoCo (the metadata of approximately 300 000 letters; the
more detailed discussion of this dataset is, however, beyond the scope of the present paper)
and that of CKCC and correspSearch demonstrates, that there is a clear diference for example
in gender balance (20 percentage of the authors are female in the Finnish case vs the mere 4
percentage in CKCC and correspSearch), indicating that female ”epistolary agency” will only
become truly visible when the data are accumulated without a priori scholarly filters.</p>
      <p>Regarding the Finnish Art Society’s dataset, a researcher interested in the correspondence
connected to the Society or its board can get a quick overview as to the main actors (senders)
and the amounts of letters by simply studying the letter catalog in Excel format. However, even
the quite limited and specialized data currently available can show the activities of the FAS from
a fresh perspective and point to some of the fundamental source critical questions vis-à-vis the
use of such data.</p>
      <p>A large amount of prior knowledge is always at work when scholars interpret models. Also
the list of 10 most active senders/receivers of letters mentioned above is not surprising. Persons
such as Carl Gustaf Estlander or Johan Jacob Tikkanen are amongst the known leading figures
of the FAS, and the Turku (Åbo) branch of the Society (STY:n Turun osaston komitea) a natural
institutional correspondent. Perhaps the most interesting and important facet regarding the
visualization of actors in this restricted dataset is that it brings the gendered nature of the
Society’s activities to the fore. Public organizations were run by men – and so was the Art
Society, although for example its Drawing School was from the start open for both genders.</p>
      <p>The epistolary metadata of the collection discussed here is very detailed, which means that
altogether 823 entries contain information about the sending place. Put on a map, one of the
places that stand out is Budapest, the location of the Hungarian Art Society. The societies
e.g. discussed a possible regular exchange of Finnish and Hungarian lithographs. At the time,
Finno-Hungarian connections were cherished particularly in Finland, since the Finns were set
apart from Indo-European speakers as an ethnic group, and Finno-Ugrism became the favored
ethno-linguistic alternative.</p>
      <p>The number of the letters in the dataset increases throughout the century as the activities
of the Society become more varied and frequent. The visualizations point to certain distinct
7CKCC is an acronym for “Circulation of Knowledge: A Web-based Humanities’ Collaboratory on
Correspondences and Learned Practices in the 17th century Dutch Republic ”.</p>
      <p>8https://skillnet.nl
9http://emlo.bodleian.ox.ac.uk
10https://tei-c.org/activities/sig/correspondence/
peaks in the correspondence dated to e.g. 1849, 1869 and 1876. Should we concentrate on these
years, if we study the 19th-century activities of the FAS? On the other hand, is there a reason
for a sharp reduction in the correspondence in 1875 or do we just observe casual fluctuation?
Just to give one example: the peak in 1869 can be due to the revision of the statutes in 1868,
which brought about an important change as the gathering of a permanent art collection was
oficially included amongst the responsibilities of the Society. It is a plausible hypothesis that
such changes can cause accelerated epistolary activity.</p>
      <p>At the same time, we should bear in mind the bounds of chance regarding the surviving of
the data and, also, the archival practices of the Art Society and the later keeper of the collection,
the National Gallery. It might well be that what we see in the data are the actions of a particular
dutiful or perfunctory secretary. This may serve as a good reminder, that data-driven questions
related to epistolary culture and inquiries as to the value-laden heritagization processes active
in the formation and maintenance of the collections are more than two parallel research strands;
they are deeply intertwined and should be taken into account on each level of the acquisition,
processing and interpretation of epistolary metadata.</p>
      <p>Acknowledgments. Our work was funded by the Academy of Finland as part of the project
Constellations of Correspondence: Relational Study of Large and Small Networks of Epistolary
Exchange in the Grand Duchy of Finland (CoCo) (decision numbers 339828, 340834, and 339918).
CSC – IT Center for Science, Finland, provided computational resources for the work.</p>
    </sec>
  </body>
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