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<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Interfaces: Accessing Biographical Data and Metadata</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Matthias Reinert</string-name>
          <email>reinert@hk.badw.de</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Bernhard Ebneth</string-name>
          <email>ebneth@ndb.badw.de</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Historical Commission at the Bavarian Academy of Sciences and Humanities, Munich; Head of department “Deutsche Biographie”: Malte Rehbein, University of Passau</institution>
        </aff>
      </contrib-group>
      <abstract>
        <p>Based on the principles of interaction and cooperation in the field of biographical lexicography, the paper outlines the design and setup of interfaces. Interfaces enable access to both individual and sets of biographical data entries. This paper briefly describes the design of metadata mapping to semantic formats (RDF) and graphs, when metadata is provided by the historical biographical information system Deutsche Biographie. It demonstrates exemplary usages of the APIs in the historical sciences.</p>
      </abstract>
      <kwd-group>
        <kwd>biographical metadata</kwd>
        <kwd>interfaces</kwd>
        <kwd>semantic metadata mapping</kwd>
        <kwd>graph databases</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>Lexicography as interaction, cooperation, and exchange</title>
      <p>Recent biographical dictionaries have emerged out of
scientific debate and exchange on the international and
interregional levels and in cross-disciplinary discourse. The
majority of current biographical dictionaries have moved
content – everything from indices to complete articles – to
digital media or were set up to be born digital.1
In addition, digital media has made it easy to reference
ongoing historiographical research, critical editions,
documentary projects, library catalogs, and archival sources.
The common tasks of all lexicographers consist of
extending, revising, and correcting the biographical
database. Therefore, collaboration through the sharing
and linking of information forms the backbone of future
biographical dictionaries.</p>
      <p>The digital transformation is confronted with the challenge
of maintaining formal and scientific standards that have
evolved in the past 100 years of lexicography. Current
biographical dictionaries share a common set of elements or
modules, e.g., names, dates, places of birth and death,
family background, biographical description, and references
to works, archival resources, secondary literature, portraits
and authorship. These could probably be described as a
common web ontology.</p>
      <p>The similar structure of biographical articles in dictionaries
allows similar strategies of visualization – ranging from
static genealogical trees to dynamic relations to persons,
institutions and places.</p>
      <p>1In Europe there are only 9 national dictionaries accessible
freely online: Historisches Lexikon der Schweiz – Dizionario
storico della Svizzera – Dictionnaire historique de la Suisse
(HLS), Neue Deutsche Biographie (NDB), O¨sterreichisches
Biographisches Lexikon 1815–1950 ( O¨BL) mit 2.
u¨berarbeiteter Auflage ab 1815, Slovenska biografija (SBL), Nationaal
Biografisch Woordenboek (NBW), Dizionario Biografico degli
Italiani (DBI), Biographie Nationale de Belgique (BNB),
Nouvelle Biographie Nationale nume´rise´es de Belgique (NBNB),
Kansallisbiografia (Finland), Norsk Biografisk Leksikon (NBL),
Internetowy Polski Słownik Biograficzny (iPSB). Two others offer
paid access: the Oxford Dictionary of National Biography and the
Dictionary of Irish Biography.</p>
      <p>
        Authority files appear to be key to the interfaces
of exchange and to ontology patterns and modes of
visualization. They were conceived in the bibliographical
field and proved valuable in interlinking both persons and
concepts.
        <xref ref-type="bibr" rid="ref3">(Ebneth and Reinert, 2018)</xref>
        2
      </p>
    </sec>
    <sec id="sec-2">
      <title>Data Resources.</title>
      <p>The Deutsche Biographie is a joint endeavor of the
Historical Commission at the Bavarian Academy of
Sciences and Humanities and the Bavarian State Library in
Munich.</p>
      <p>Since the late 1990s, several measures have been taken
to digitize two series of biographical dictionaries and to
establish a website providing access to them.</p>
      <p>
        The latest efforts have targeted cultural institutions, in order
to enlarge the number of notable individuals in the corpus
        <xref ref-type="bibr" rid="ref19 ref24">(Reinert et al., 2015)</xref>
        .
      </p>
      <sec id="sec-2-1">
        <title>Components</title>
        <p>
          The aggregated database consists of parts differing in
provenance, density, and granularity of information:
Digitized biographical texts of the Allgemeine
Deutsche Biographie (ADB, 55 vols. and index vol.
published 1875–1912) and Neue Deutsche Biographie
(NDB, 26 [A–Vocke] of 28 vols. published since
1953) provide information on individuals, exact dates
of birth and death, places of birth, death, and burial,
as well as partially encoded information on entities
related to the individual. The full text of both series
have been digitized and structured in XML
          <xref ref-type="bibr" rid="ref20">(Reinert,
2010)</xref>
          .
        </p>
        <p>
          The index of persons and families mentioned in ADB
and NDB was compiled manually and provides names,
years of birth and death, a hierarchy of professions,
and references to pages in the printed volumes.
Almost all index entries are aligned with the German
authority file (Gemeinsame Normdatei GND),2 and
further information can be derived from this resource
          <xref ref-type="bibr" rid="ref12">(Hockerts, 2008)</xref>
          ,
          <xref ref-type="bibr" rid="ref4">(Ebneth, 2009)</xref>
          ,
          <xref ref-type="bibr" rid="ref2">(Busch and Jordan,
2011)</xref>
          .
        </p>
        <p>
          2A complete dump is available under CC0 http://www.
dnb.de/lds
          <xref ref-type="bibr" rid="ref18">(Pfeifer, 2015)</xref>
          .
        </p>
        <p>
          The main work base of the editorial office helps to
curate the last two volumes that are to appear in
print. A subset of this work base that includes all
entries on deceased persons with a GND-identifier is
merged with the Deutsche Biographie. The dataset
includes differences in name spellings, pseudonyms,
dates and places of birth and death. The places are
rarely harmonized and aligned. While all entries are
provided with a GND-identifier, further information
from this resource can be derived
          <xref ref-type="bibr" rid="ref13">(Hockerts, 2012)</xref>
          .
The last component is a set of persons and families
– amounting to about 600,000 entries – provided
by websites of cooperating partners3. The data for
these entries are imported from the German national
authority file GND
          <xref ref-type="bibr" rid="ref5">(Ebneth, 2012)</xref>
          ,
          <xref ref-type="bibr" rid="ref15">(Kraus et al.,
2014)</xref>
          .
        </p>
      </sec>
      <sec id="sec-2-2">
        <title>Data enhancement</title>
        <p>
          Metadata enhancement is crucial for extended search
options. The main approach is to detect entities and
determine the linguistic class they belong to, then identify
entities against a given database, and finally detect relations
and sentiments expressed with regard to them
          <xref ref-type="bibr" rid="ref14">(Jurafsky and
Martin, 2016)</xref>
          .
        </p>
        <p>
          The Deutsche Biographie’ approach relies heavily on
authority files. The index of persons was completely
equipped with GND-entries and -identifiers in cooperation
with the Bavarian State Library / Munich Digitization
Center
          <xref ref-type="bibr" rid="ref12">(Hockerts, 2008)</xref>
          ,
          <xref ref-type="bibr" rid="ref2">(Busch and Jordan, 2011)</xref>
          .
This close cooperation makes the Deutsche Biographie a
reference for biographical entries in the GND too.
With the appearance of each volume in print, the index is
enlarged and enhanced in term of GND-metadata.
As soon as a new volume is published in print form, the
previous volume will be transformed to deeply structured
XML and put online.
        </p>
      </sec>
      <sec id="sec-2-3">
        <title>Entity detection</title>
        <p>The structure of the articles converted from PDF to XML
first covers the main parts of the article, namely the
headline, the genealogy, the life summary, and the technical
parts listing awards, works, sources, secondary literature,
and portraits.</p>
        <p>
          It then deals with entities, like personal names occurring
in verb phrases (“interpersonal relations”)
          <xref ref-type="bibr" rid="ref17 ref23 ref25">(Stotz and
Reinert, 2013)</xref>
          ,
          <xref ref-type="bibr" rid="ref24">(Stotz et al., 2015)</xref>
          . The strategy of our
choice, named “Local Grammars,” is described in
          <xref ref-type="bibr" rid="ref9">(Gross,
1997)</xref>
          ,
          <xref ref-type="bibr" rid="ref7">(Geierhos, 2007)</xref>
          ,
          <xref ref-type="bibr" rid="ref8">(Geierhos, 2010)</xref>
          and relies
on dictionaries as described by
          <xref ref-type="bibr" rid="ref11">(Guenthner and Maier,
1994)</xref>
          ,
          <xref ref-type="bibr" rid="ref10">(Guenthner and Maier-Meyer, 1996)</xref>
          . We set up
different dictionaries of partial and complete forms of well
known entities (first names, surnames, names of places,
disciplines, fields of study, relevant adjectives and noun
phrases).
        </p>
        <p>
          3The partnering institutions provide individual personal
information on a selection of individuals who are representative
for their collecting focus and documentary field. A complete list
can be found at https://www.deutsche-biographie.
de/partner
The “Local Grammars” at hand are capable of describing
institutional bodies (enterprises, educational institution,
theatre and music groups, political parties), administrative
geographical regions (populated places, regions, countries,
religious territories) and the proper names of certain
individual places (monasteries, churches, castles).
Finally biographical accounts refer to highly specific events
(s.
          <xref ref-type="bibr" rid="ref22">(Rospocher et al., 2016)</xref>
          ). Of these only the proper
names of the most prominent events like congresses, wars,
and peace treaties have been directly detected with certain
“Local Grammars.”
        </p>
      </sec>
      <sec id="sec-2-4">
        <title>Entity linking/disambiguation</title>
        <p>
          To enhance this database, different strategies were applied
to link named entities to the internal database of indexed
names. One obvious strategy relied on index entries
and calculated scores for identified personal names on a
given page in a given section (genealogy or biography),
depending on the length of the named entity and any given
birth or death dates as compared with those accounted for
in the index of names for that page
          <xref ref-type="bibr" rid="ref19 ref24">(Reinert et al., 2015)</xref>
          .
The second strategy drew on professional descriptors
that preceded the named entity and compared them with
the most well-known index entry, which assumed that
celebrity implied being named or connected with other
famous personalities who had also been portrayed in the
biographical dictionary.
        </p>
        <p>Another strategy consisted of detecting places of birth,
death and burial and linking them to authority files.
These place names were prominent in the headlines of
each biography of an individual person and taggable by
regular expressions. Twelve thousand distinct names were
uniquely detectable.
By accessing the web services of OpenStreetMap (OSM)4
and filtering the results by type of place and continent,
about one third could be identified directly in OSM.
The majority of remaining places occurred only once in the
corpus and had to be aligned to OSM manually. Although
OSM does not provide unique IDs, the coordinates and
some additional information were reusable.</p>
        <p>With the help of the geographical coordinates, about
half of these entries could be identified / reverse-located
in Geonames5. Geonames provides unique and stable
identifiers, but the qualification of the type of the place
differs. Even though over 36,000 GND-entries for
placeor regionlike administrative territories had been aligned to
Geonames, the data was incoherent. The GND referred to
administrative division in Geonames, while we were using
populated places.</p>
        <p>4http://nominatim.openstreetmap.org.
5http://www.geonames.org/.</p>
      </sec>
      <sec id="sec-2-5">
        <title>Information extraction – summary</title>
        <p>Up to now, the following have been recognized and
identified (linked to index database) in the Deutsche
Biographie:
340,000 personal names tagged in the corpus of ADB
and NDB, of which about 145,000 are identified as
database entries;
380,000 place names, of which 12,500 are places of
study, 1,900 “places of worship” (religious buildings);
over 163,000 place names were identified as an
instance of a given place in the database;
103,000 relations found in 21,330 biographies
(NDB), of which 6,200 are teacher-student
relations, 1,500 friendship predicates, about 1,000
predecessor/successor predicates, and another 3,000
membership relations and about 3,100 leadership
relations relating to institutions or organizations;
12,000 organizational names;
8,000 time expressions;
11,500 mentions of discipline/fields of study.</p>
        <p>The efforts in geo-locating places led to new search
options. Two start pages were introduced that provided
a mapsearch and a zoomable geographical distribution of
places mentioned in the Deutsche Biographie.</p>
      </sec>
    </sec>
    <sec id="sec-3">
      <title>3 Interfaces</title>
      <p>The notion of what an interface is ranges from intuitive
user interaction surface to machine readable bit-stream. In
this paper, interface is understood as a programmable
datadelivering web application.</p>
      <sec id="sec-3-1">
        <title>Type, purpose, coverage of the APIs</title>
        <p>In Deutsche Biographie we mapped metadata on the entry
level. This means that the RDF is directly accessible from
the web-version of an individual article (s. fig. 1). Another
way of mapping relations to a graph format is described
below (s. sect. 3).</p>
        <p>The APIs provided by
http://data.deutschebiographie.de split up into two groups: the
Beaconinterface / Beacon-Aggregator and the Solr-based search
index cover about 750,000 aggregated entries in the
Deutsche Biographie whereas the RDF-based
SPARQLendpoint and the Neo4J-based graph-database cover only
persons and families mentioned in the biographical
dictionaries (about 100,000). The number of entries linked
to others with an explicitly named relation shrinks to about
23,000, due to the limitations of named entity identification
mentioned above.</p>
        <p>The Beacon aggregation provided here offers a list of links
to resources for a given GND-Identifier (s. fig. 3).
in Munich in 2010.6 There is an informal description7
that allows for aggregation of Beacons of different origin.
Most Beacon files are announced at the given Wikipedia
website, others are hosted by the Historical Commission or
at Findbuch.de8.</p>
        <p>#FORMAT: BEACON
#PREFIX: http://d-nb.info/gnd/
#TARGET: http://www.deutsche-biograph
ie.de/pndfIDg.html#ndbcontent
118643525
118500015
...</p>
      </sec>
      <sec id="sec-3-2">
        <title>Solr</title>
        <p>
          The Solr9 index is configured for combined searches,
autocomplete and faceted searches for names, places, and
professions. Relations between personal entries are stored
in an abbreviated serialized form (s. fig. 5). The decision to
the “factoids” proposed by
          <xref ref-type="bibr" rid="ref17 ref23 ref25">(Michele Pasin and John
Bradley, 2013)</xref>
          and the “aspects” deployed at the
Personendatenrepositorium
          <xref ref-type="bibr" rid="ref26">(Walkowski, 2009)</xref>
          .
event-based ontologies represent a person’s life as
a set of timespans or events of varying duration.
Examples for this approach are the Erlangen CRM11,
          <xref ref-type="bibr" rid="ref25">(Trame et al., 2013)</xref>
          and the “life-spans” deployed at
the Catalogus professorum Lipsiensis s.
          <xref ref-type="bibr" rid="ref21">(Riechert et
al., 2010)</xref>
          .
        </p>
        <p>
          The initial data-model of Deutsche Biographie was
property based. It draws heavily on the concept of the
GND-elementset12 and initial work of
          <xref ref-type="bibr" rid="ref16">(Litz et al., 2012)</xref>
          ,
see
          <xref ref-type="bibr" rid="ref1">(Bru¨mmer, 2011)</xref>
          . We publish dumps of all generated
RDF-triples periodically and serve a Sparql-endpoint on
request.
        </p>
        <p>11Its current version “Erlangen
based on CIDOC-CRM 6.2.2
crm.org/170309/.</p>
        <p>12http://d-nb.info/standards/elementset/
gnd</p>
        <p>CRM 170309” is
http://erlangen</p>
      </sec>
      <sec id="sec-3-3">
        <title>Graph APIs</title>
        <p>The API provides access to a graph database based
on Neo4J13. The graph is modelled according to the
index of persons and the structure of the printed
volumes and its articles. These hierarchically ordered
units (&lt;is part of&gt;) of text refer to entries in
the person and place databases by means of edges
(&lt;occurs in, is author&gt;). Persons may refer to
a lineage (a group of family-like related individuals)
&lt;belongs to&gt; or directly to others by named edges
(&lt;lehrer, vorgaenger, nachfolger&gt;). A
person is connected to places (&lt;born in, died in,
tomb in, active in&gt;) and to a profession
classification (&lt;belongs to&gt;).</p>
        <p>A second option makes it possible to export an ego-centered
graph, based on the detected relations to identified personal
names in the Solr index.14
The example presented in fig. 2 shows a data sample for
13https://www.neo4j.org
14http://data.deutsche-biographie.de/beta/
open-graph This option requires the internal identifier and
loads all identified relations to other persons from the Solr-index.
Further options allow exports in json and graphml. It covers
only biographical entries of the newer NDB-series.</p>
        <p>Albert Einstein and all individuals in his network up to a
distance of 2, together with their cross-relations amongst
each other. The dataset has easily been imported into
Gephi15, colored by an indexed category and visualized
using a circle packing layout (Mike Bostock).</p>
        <p>4</p>
      </sec>
    </sec>
    <sec id="sec-4">
      <title>Summary</title>
      <p>Recent incoming e-mail requests have showed a growing
interest in accessing the data. There were genuine research
questions (e.g., the network of Martin Luther, investigating
German street names), integration tasks (RDF query of
metadata for identified individual entries) and bridging
tasks (querying personal names in a back-end for an
archival CMS).</p>
      <p>A proposal has been launched to raise funding for a
web-based research laboratory that would work with
the metadata encoded and aggregated in the Deutsche
Biographie.</p>
      <p>5</p>
    </sec>
    <sec id="sec-5">
      <title>Acknowledgements</title>
      <p>
        The work was funded by grants from the Deutsche
Forschungsgmeinschaft (DFG) for the project “Deutsche
Biographie as historical biographical information system
for German-speaking areas” in 2012 and 2015. The NDB
received funding from the German Research Foundation
(Deutsche Forschungsgemeinschaft DFG) for the years
2001-03, 2008-09, and 2010-11.16
The RDF mapping was initially conceived by Martin
Bru¨mmer und Thomas Riechert within the framework of
the EU project “LOD2-PUBLINK” (s.
        <xref ref-type="bibr" rid="ref1">(Bru¨mmer, 2011)</xref>
        ).
6
15https://www.gephi.org.
      </p>
      <p>16http://gepris.dfg.de/gepris/projekt/
(53346764|165972532|213818920).</p>
    </sec>
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