Linking Speakers of the German Parliament to Wikidata: Scope and Coverage of Metadata
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
arXiv:2609.18289v1 [cs.DB] 16 Sep 2026
Linking Speakers of the German Parliament to Wikidata: Scope and Coverage of Metadata Thomas Haider
1 , Arne Cypionka
1 , and Maximilian Teich
1
1 Chair of Computational Humanities, University of Passau
Abstract This paper links all individuals who spoke in the German Bundestag between 1949 and 2021 to Wikidata, creating a longitudinal dataset that connects parliamentary speech transcripts with structured biographical metadata. We evaluate the coverage, composition, and potential biases of the retrieved properties and statements, with particular attention to gender, professional background, historical legacies, and transnational dimensions such as place of birth, languages, and foreign awards. The results demonstrate both the analytical potential of combining GermaParl with Wikidata and the importance of critically assessing uneven metadata coverage in open knowledge graphs.
1 Introduction The German federal parliament (Bundestag) publishes its plenary proceedings together with a directory of all elected members (so called ‘Stammdaten’).1 This directory provides core biographical metadata, consisting of names, gender, and party affiliation during a member’s term of office. While the records remain limited in their breadth and depth, in combination with the speech transcripts, this information already enables considerable analysis. As studies on populism (Erhard, Hanke, Remer, Falenska, and Heiberger 2025), gender roles (Spieker 2021; Stecker, Müller, Blätte, and Leonhardt 2021), or the political left–right spectrum (Warode 2025) demonstrate, there is considerable analytical potential and sustained scholarly interest in utilizing the Bundestag plenary proceedings with the metadata available. At the same time, the official member directory (‘Stammdaten’) only covers elected representatives. The plenary proceedings, however, include a broader set of speakers, such as members of the federal government, parliamentary state secretaries, and invited guests. In total, over 4,000 people spoke in front of Germany’s parliament. As can be seen in Table 1 only 87.5% of these speakers are elected officials (P39 - member of the German Bundestag). For the other individuals, no consolidated biographical metadata are systematically provided alongside the proceedings. 1 https://www.bundestag.de/services/opendata
2
Haider et al.
Further information about these persons is encoded in various resources, such as DBpedia (cf. Leonhardt and Blätte 2024) and consolidated metadata databases. For instance, Göbel and Munzert (2022) and Herrmann and Döring (2023) have worked on expanding and refining available metadata for parliamentary actors, showing that enriched contextual information substantially broadens the range of possible inquiries. These efforts, however, remain confined to the databases themselves and, to our knowledge, do not yet comprehensively map the parliamentary speech data to the metadata. These databases can be accessed through Wikidata, to which this paper provides the linking. Especially the historical dimension of this data make it paramount to have open resources that can be critically examined. Social and ideological biases in parliaments are well documented. Navarretta and Hansen (2022), for instance, find gendered patterns in the Danish parliament, where women disproportionately engage with social issues and men with economic ones. Schulz (2021) in turn, aims to trace how National Socialist ideology persisted into the parliaments of the early Federal Republic. However, to our knowledge, a systematic evaluation of coverage and potential data biases has so far been lacking, both in the parliamentary source data and in the linked external resources. Here we address this gap. The contribution of this paper is to link every person to Wikidata who spoke in the German Bundestag from 1949 to 2021 (1st to 19th legislative period). On this basis, we assess the scope, composition, and coverage of additional metadata that can be retrieved through this linkage. To match the conference theme ‘Linking Europe’, we also investigate place of birth, languages spoken, and awards given by foreign entities/countries. We hope to give some pointers at research directions to use this data to e.g., correlate the language of the speeches with prosopographical information. The basis of the project consists of two primary data sources: GermaParl and Wikidata. For the Bundestag proceedings we rely on the GermaParl corpus (Blätte and Blessing 2018; Blätte, Rakers, and Leonhardt 2022), which provides a machine-readable (TEI P5) and annotated version of the plenary protocols (featuring i.a., speaker turns, interjections and party affiliation from the Stammdaten directory). GermaParl is currently being integrated into the larger ParlaMINT corpus (Erjavec et al. 2025). As part of this migration, the GermaParl team is drawing on Wikidata for person metadata – in particular for non-MP speakers’ sex and identifiers (Leonhardt and Blätte 2026) – which is narrower than the coverage pursued here. On the other hand, Wikidata serves as an open, collaboratively curated knowledge base containing structured biographical and contextual information on public figures, including politicians, and references to other authoritative resources like the GND (the Integrated Authority File; for which coverage is almost exhaustive as can be seen below), making it feasible to then further map to the resources of Göbel and Munzert (2022) and Leonhardt and Blätte (2024); Leonhardt and Blätte (2026) down the line.
2 Matching and Metadata Extraction From the GermaParl corpus, we extract all annotated speakers and their associated party affiliations. In total, the dataset contains 4,325 unique speakers. The dataset is available through the Open Science Framework.2 2 https://osf.io/5s3nc/
Linking Speakers of the German parliament to Wikidata
3
To assign unique Wikidata identifiers to all recorded speakers, we implement a four-step matching procedure: 1. Name and party match: For each speaker, Wikidata is queried for individuals identified as members of the Bundestag with the corresponding name and party affiliation. 2. Name-only match (restricted to Bundestag members): If no match is found, we query for members of the Bundestag with the same name, irrespective of party affiliation. 3. General name match: If this step also yields no result, Wikidata is queried for any person with the given name. 4. In cases where multiple matches are returned, the correct identifier is determined manually. Manual verification is likewise conducted when no automatic match can be identified. Once identifiers are established, we retrieve all available Wikidata predicates and then statements (predicate-object) associated with each speaker through the Wikidata query service. Table 1 shows the properties with at least 1% coverage and Table 2 the statements with at least 1% coverage (see below in the appendix). These tables already give us a general overview and then we can derive specific dimensions of interest through filtering.
3 Results 3.1
Properties
The coverage of properties (Table 1) shows that Wikidata is almost complete for the (4,325) Bundestag/parliamentary speakers in terms of their ‘core profile’: Basic characteristics such as gender, instance of, date of birth, languages, occupation, and key political information (party, offices/positions) are predominantly at ∼98–100%, and authority IDs (especially GND/VIAF) are also very strongly represented – which suggests that Wikidata is curated through these resources. In contrast, CV and provenance fields such as ‘educated at’ (∼24%) or the official Bundestag biography link (∼44%) are significantly weaker, which means that the data collection is optimized for identity/roles rather than complete CVs; media and Commons data (image/Commons category) are only around half complete. The historical nature of the population is also important: at least 51% of the people recorded already have a date of death (P570) and are therefore deceased, and 348 people have a NSDAP membership number (P2298), which indicates substantial personal overlap with the period 1925–1945, which now opens this data for research questions about influences of the Nazi Regime in the Bundestag (Schulz 2021).
4
Haider et al.
3.2
Statements
The coverage of statements (Table 2) shows that gender is systematically recorded; the historical skew (∼79.4% male, ∼20.6% female) reflects male-dominated early parliaments. Looking at the speeches, we find that women’s share of speeches rises from 5% in the first legislative period to nearly 40% in the 18th (Figure 1).
Figure 1: Proportion of speeches given by women across legislative periods (LP 1–19).
Work location data capture the institutional shift from Bonn (∼64.6%) to Berlin (∼21.4%) after reunification, though Berlin appears under-recorded; additional sparse locations likely reflect prior state-level careers. Political affiliation appears both as party membership (P102: SPD 34.0%, CDU 32.7%, FDP 11.8%, CSU 7.5%, Greens 5.9%, Left 3.6%, AfD 2.1%) and parliamentary group (P1416: CDU 34.5%, SPD 29.4%, FDP 9.4%). Doctorates (4.4%) slightly exceed general population levels ( 2% with historical fluctuations), indicating modest overrepresentation without academic elitism. Legal and political professions dominate occupations (P106), with lawyers, economists, teachers, and civil servants prevalent. The increasing use of “politician” over time signals professionalization. While P106 records formal job titles, field of work (P101) captures broader topics/policy areas and is sparsely populated. Finally, entries such as Nazi Party membership (369; ∼8.5%),3 SA/SS affiliations, World War participation, and citizenships like the GDR or German Reich indicate the complex historical trajectories of these political figures. 3.3
Relationship to Europe
Place of birth (Table 3) is dominated by major German cities but includes now Polish cities such as Wrocław (29), Szczecin (12), Gdańsk (9), and Katowice (6). Their presence in the dataset likely reflects the forced migration of Germans from Silesia and other eastern territories after WWII, showing how geopolitical border shifts are encoded in this biographical data. 3 Distinct from NSDAP membership number seen above.
Linking Speakers of the German parliament to Wikidata
5
Language data (Table 4) is limited: around 15% speakers do not have German as their native language. English (as a language that is expected to be widely spoken) appears in only 1%, likely due to incomplete Wikidata recording. Other languages (Turkish, Polish, Russian, French) occur in small shares but are probably under-reported as well. Awards are predominantly German but include a notable number of Austrian distinctions and some from Finland and Italy, indicating recognition beyond the national level that reflects German–Austrian ties as well as German war-time alliances.
4 Conclusion In this paper, we demonstrate that systematically linking all Bundestag speakers from 1949 to 2021 to Wikidata yields high coverage for core biographical and political attributes, while revealing clear gaps in more detailed career and contextual information. The enriched metadata will allow us to trace long-term developments such as gender balance, professionalization, regime legacies, and transnational entanglements, but they also expose structural biases and uneven documentation within both parliamentary and Wikidata sources. Future research can build on this linkage to connect speech content with prosopographical characteristics, investigate historical continuities and ruptures, and critically assess how political actors are represented in open knowledge graphs.
References Blätte, Andreas and Andre Blessing (2018). “The GermaParl corpus of parliamentary protocols”. In: proceedings of the eleventh international conference on language resources and evaluation (LREC 2018). Blätte, Andreas, Julia Rakers, and Christoph Leonhardt (2022). “How germaparl evolves: Improving data quality by reproducible corpus preparation and user involvement”. In: Proceedings of the Workshop ParlaCLARIN III within the 13th Language Resources and Evaluation Conference, pp. 7–15. Erhard, Lukas, Sara Hanke, Uwe Remer, Agnieszka Falenska, and Raphael Heiko Heiberger (Jan. 2025). “PopBERT. Detecting Populism and Its Host Ideologies in the German Bundestag”. en. In: Political Analysis 33.1, pp. 1–17. issn: 10471987, 1476-4989. doi: 10.1017/pan.2024.12. url: https://www.cambridge. org/core/product/identifier/S1047198724000123/type/journal_article (visited on 02/27/2026). Erjavec, Tomaž et al. (Sept. 2025). “ParlaMint II: advancing comparable parliamentary corpora across Europe”. en. In: Lang. Resour. Eval. 59.3, pp. 2071–2102. Göbel, Sascha and Simon Munzert (July 2022). “The Comparative Legislators Database”. en. In: British Journal of Political Science 52.3, pp. 1398–1408. issn: 0007-1234, 1469-2112. doi: 10.1017/S0007123420000897. url: https://www.cambridge. org/core/product/identifier/S0007123420000897/type/journal_article (visited on 02/27/2026).
6
Haider et al.
Herrmann, Michael and Holger Döring (Jan. 2023). “Party Positions from Wikipedia Classifications of Party Ideology”. en. In: Political Analysis 31.1, pp. 22–41. issn: 1047-1987, 1476-4989. doi: 10.1017/pan.2021.28. url: https://www.cambridge. org/core/product/identifier/S1047198721000280/type/journal_article (visited on 02/27/2026). Leonhardt, Christoph and Andreas Blätte (May 2024). “The dbpedia R Package: An Integrated Workflow for Entity Linking (for ParlaMint Corpora)”. In: Proceedings of the IV Workshop on Creating, Analysing, and Increasing Accessibility of Parliamentary Corpora (ParlaCLARIN) @ LREC-COLING 2024. Ed. by Darja Fiser, Maria Eskevich, and David Bordon. Torino, Italia: ELRA and ICCL, pp. 133–144. url: https://aclanthology.org/2024.parlaclarin-1.20/. Leonhardt, Christoph and Andreas Blätte (2026). Towards ParlaMint-DE: Improving the Interoperability of the GermaParl Corpus of Plenary Protocols of the German Bundestag. Presentation at ParlaCLARIN, 2026-05-16. url: https://www.clarin. eu / sites / default / files / 2 . 1 . _2026 - 05 - 16 _ ParlaCLARIN - GermaParl3 ParlaMint-DE_Leonhardt-Blaette.pdf. Navarretta, Costanza and Dorte Haltrup Hansen (2022). “The Subject Annotations of the Danish Parliament Corpus (2009-2017)-Evaluated with Automatic Multi-label Classification”. In: Proceedings of the thirteenth language resources and evaluation conference, pp. 1428–1436. url: https://aclanthology.org/2022.lrec-1.153. Schulz, Andreas (2021). “Braune Parlamentarier? Zur NS-Vergangenheit des Deutschen Bundestages”. In: Aufarbeitung des Nationalsozialismus. Ein Kompendium. Ed. by Magnus Brechtken. Göttingen: Wallstein Verlag, pp. 371–385. isbn: 978-3-83535049-6. Spieker, Franziska (2021). “Geschlechterrollen im Bundestag – Partizipation und Reaktion: Eine quantitative Datenanalyse der Parlamentsdebatten und schriftlichen Fragen”. Masterarbeit an der Freien Universität Berlin. Masterarbeit. Freie Universität Berlin. url: https://refubium.fu- berlin.de/bitstream/handle/ fub188/35456/Masterarbeit_Spiecker.pdf. Stecker, Christian, Jochen Müller, Andreas Blätte, and Christoph Leonhardt (July 2021). The evolution of gender-inclusive language. Evidence from the German Bundestag, 1949-2021. doi: 10.31219/osf.io/fcsmz. url: https://osf.io/ fcsmz_v1 (visited on 02/27/2026). Warode, Lukas (Aug. 2025). “Mapping left-right associations: a framework using open-ended survey responses and political positions”. en. In: Humanities and Social Sciences Communications 12.1. issn: 2662-9992. doi: 10 . 1057 / s41599 - 025 05679 - x. url: https : / / www . nature . com / articles / s41599 - 025 - 05679 - x (visited on 02/27/2026).
A Appendix / Tables Table 1: Property Coverage Table Property P21 P31 P569
Property Label sex or gender instance of date of birth
n_people 4324 4324 4323
coverage_percent 99.976879 99.976879 99.953757
Linking Speakers of the German parliament to Wikidata
Property P1412 P106 P27 P19 P227 P735 P214 P102 P39 P1559 P528 P937 P103 P734 P1416 P10632 P7902 P10832 P373 P18 P570 P646 P1344 P13049 P2671 P213 P1713 P20 P166 P1284 P5355 P463 P244 P69 P856 P3368 P9964 P2013 P3602 P2002 P1006 P269 P13591 P1207 P10553 P140 P2003 P4293 P345 P8168 P13983 P9918 P8687 P1331 P108 P8189 P2397 P512 P691
Property Label languages spoken, written or signed occupation country of citizenship place of birth GND ID given name VIAF cluster ID member of political party position held name in native language catalog code work location native language family name affiliation OpenSanctions ID Deutsche Biographie (GND) ID WorldCat Entities ID Commons category image date of death Freebase ID participant in DDB person (GND) ID Google Knowledge Graph ID ISNI biography at the Bundestag of Germany URL place of death award received Munzinger person ID abgeordnetenwatch.de politician ID member of Library of Congress authority ID educated at official website Prabook ID Kalliope-Verbund (GND) ID Facebook username candidacy in election X (Twitter) username Nationale Thesaurus voor Auteursnamen ID IdRef ID Yale LUX ID NUKAT ID IxTheo authority ID religion or worldview Instagram username PM20 folder ID IMDb ID FactGrid item ID Cabinet minutes of the German Government ID Kallías ID social media followers PACE member ID employer National Library of Israel J9U ID YouTube channel ID academic degree NL CR AUT ID
7
n_people 4322 4320 4309 4303 4297 4297 4287 4256 4235 3997 3862 3830 3739 3529 3138 2981 2733 2491 2375 2255 2204 2180 2166 2158 2132 1909 1884 1832 1725 1646 1557 1218 1157 1037 984 911 877 858 813 804 747 725 707 663 574 564 543 497 496 483 461 450 449 430 419 414 409 401 368
coverage_percent 99.930636 99.884393 99.630058 99.491329 99.352601 99.352601 99.121387 98.404624 97.919075 92.416185 89.294798 88.554913 86.450867 81.595376 72.554913 68.924855 63.190751 57.595376 54.913295 52.138728 50.959538 50.404624 50.080925 49.895954 49.294798 44.138728 43.560694 42.358382 39.884393 38.057803 36.000000 28.161850 26.751445 23.976879 22.751445 21.063584 20.277457 19.838150 18.797688 18.589595 17.271676 16.763006 16.346821 15.329480 13.271676 13.040462 12.554913 11.491329 11.468208 11.167630 10.658960 10.404624 10.381503 9.942197 9.687861 9.572254 9.456647 9.271676 8.508671
8
Haider et al.
Property P11245 P6640 P2163 P2298 P9885 P7293 P13627 P5019 P268 P26 P119 P6634 P12458 P1442 P1971 P13226 P1343 P7085 P1889 P1741 P1477 P1695 P40 P648 P101 P11892 P22 P3065 P3987 P4985 P10234 P8445 P10 P12361 P11496 P271 P8748 P1015 P1953 P2605 P12597 P910 P701 P866 P551 P10916 P9671 P1186 P11249 P109 P2847 P2639 P607 P7400 P10608 P3267 P2600 P1280 P1368
Property Label YouTube handle JRC Names ID FAST ID NSDAP membership number (1925–1945) Bing entity ID National Library of Poland MMS ID Niedersächsische Personen ID Brockhaus Enzyklopädie online ID Bibliothèque nationale de France ID spouse place of burial LinkedIn personal profile ID Parsifal cluster ID image of grave number of children Hessian Biography person (GND) ID described by source TikTok username different from GTAA ID birth name NLP ID child Open Library ID field of work Threads username father RERO ID (legacy) SHARE Catalogue author ID TMDB person ID Der Spiegel topic ID Our Campaigns candidate ID video Bluesky handle CiNii Research ID NACSIS-CAT author ID Rheinland-Pfälzische Personendatenbank (GND) ID BIBSYS ID Discogs artist ID ČSFD person ID museum-digital ID topic’s main category Dodis ID Perlentaucher ID residence Süddeutsche Zeitung topic ID Bundesstiftung Aufarbeitung person ID MEP directory ID KBR person ID signature Google+ ID Filmportal ID participated in conflict LibraryThing author ID FID performing arts ID Flickr user ID Geni.com profile ID CONOR.SI ID National Library of Latvia ID
n_people 365 360 358 348 344 318 306 290 289 265 259 259 248 238 232 224 217 214 209 202 197 188 178 176 170 170 170 164 159 156 155 155 153 153 151 151 149 146 138 135 131 131 128 127 123 120 115 114 113 107 104 102 102 102 98 95 94 93 90
coverage_percent 8.439306 8.323699 8.277457 8.046243 7.953757 7.352601 7.075145 6.705202 6.682081 6.127168 5.988439 5.988439 5.734104 5.502890 5.364162 5.179191 5.017341 4.947977 4.832370 4.670520 4.554913 4.346821 4.115607 4.069364 3.930636 3.930636 3.930636 3.791908 3.676301 3.606936 3.583815 3.583815 3.537572 3.537572 3.491329 3.491329 3.445087 3.375723 3.190751 3.121387 3.028902 3.028902 2.959538 2.936416 2.843931 2.774566 2.658960 2.635838 2.612717 2.473988 2.404624 2.358382 2.358382 2.358382 2.265896 2.196532 2.173410 2.150289 2.080925
Linking Speakers of the German parliament to Wikidata
Property P6722 P396 P434 P2949 P3373 P4033 P13183 P949 P4342 P12412 P7699 P935 P25 P8313 P1196 P509 P7305 P535 P1185 P5739 P9037 P3222 P3430 P6414 P2604 P2372 P13429 P1038 P3847 P2190 P349 P1315 P443
Property Label FemBio ID SBN author ID MusicBrainz artist ID WikiTree person ID sibling Mastodon address JudaicaLink person (GND) ID National Library of Israel ID (old) Great Norwegian Encyclopedia ID Lobbypedia ID National Library of Lithuania ID Commons gallery mother Lex ID manner of death cause of death Online PWN Encyclopedia ID Find a Grave memorial ID Rodovid ID Pontificia Università della Santa Croce ID BHCL UUID NE.se ID SNAC ARK ID DIZIE ID Kinopoisk person ID ODIS ID Saarland Biografien ID relative Open Library subject ID C-SPAN person string ID (deprecated) NDL Authority ID NLA Trove people ID pronunciation audio
9
n_people 90 88 84 81 79 79 76 74 73 72 72 72 70 70 67 64 62 60 59 54 54 53 53 53 52 51 49 47 46 45 45 44 44
coverage_percent 2.080925 2.034682 1.942197 1.872832 1.826590 1.826590 1.757225 1.710983 1.687861 1.664740 1.664740 1.664740 1.618497 1.618497 1.549133 1.479769 1.433526 1.387283 1.364162 1.248555 1.248555 1.225434 1.225434 1.225434 1.202312 1.179191 1.132948 1.086705 1.063584 1.040462 1.040462 1.017341 1.017341
Table 2: Statements Coverage Table property P31 P1412 P27 P106 P39
propertyLabel instance of languages spoken, written or signed country of citizenship occupation position held
P103 P21 P937 P1416
native language sex or gender work location affiliation
P102
member of political party
P102
member of political party
P1416
affiliation
P937 P21
work location sex or gender
objectDisplay human (Q5) German (Q188)
n_people coverage_percent 4324 99.976879 4313 99.722543
Germany (Q183) politician (Q82955) member of the German Bundestag (Q1939555) German (Q188) male (Q6581097) Bonn (Q586) CDU/CSU Bundestag fraction (Q1023134) Social Democratic Party of Germany (Q49768) Christian Democratic Union (Q49762) SPD Bundestag fraction (Q2207512) Berlin (Q64) female (Q6581072)
4294 4230 3785
99.283237 97.803468 87.514451
3719 3435 2795 1494
85.988439 79.421965 64.624277 34.543353
1470
33.988439
1414
32.693642
1272
29.410405
927 889
21.433526 20.554913
10
Haider et al.
property P1344
propertyLabel participant in
P1344
participant in
P1344
participant in
P1344
participant in
P1344
participant in
P1344
participant in
P3602
candidacy in election
P102
member of political party
P1344
participant in
P166
award received
P1416
affiliation
P102 P3602
member of political party candidacy in election
P39 P102
position held member of political party
P166
award received
P106 P39
occupation position held
P166
award received
P106 P166
occupation award received
P102
member of political party
P463
member of
P39
position held
P27
country of citizenship
P937 P39
work location position held
P937
work location
objectDisplay 1999 German presidential election (Q451110) 2010 German presidential election (Q707063) 2009 German presidential election (Q707051) 2012 German presidential election (Q670933) 2004 German presidential election (Q314532) 2017 German presidential election (Q23558762) 2013 German federal election (Q555931) Free Democratic Party (Q13124) 1949 West German presidential election (Q314561) Commander’s Cross of the Order of Merit of the Federal Republic of Germany (Q10905276) FDP Bundestag fraction (Q1387991) Nazi Party (Q7320) 2017 German federal election (Q15062956) mayor (Q30185) Christian Social Union of Bavaria (Q49763) Officer’s Cross of the Order of Merit of the Federal Republic of Germany (Q10905334) lawyer (Q40348) substitute member of the Parliamentary Assembly of the Council of Europe (Q65494724) Bavarian Order of Merit (Q672787) jurist (Q185351) Cross of the Order of Merit of the Federal Republic of Germany (Q10905380) Alliance ’90/The Greens (Q49766) Parliamentary Assembly of the Council of Europe (Q939743) Member of the European Parliament (Q27169) German Democratic Republic (Q16957) City of Brussels (Q239) Parliamentary Secretary in Germany (Q19731005) Strasbourg (Q6602)
n_people coverage_percent 793 18.335260 735
16.994220
730
16.878613
729
16.855491
723
16.716763
718
16.601156
523
12.092486
512
11.838150
429
9.919075
414
9.572254
408
9.433526
369 350
8.531792 8.092486
331 326
7.653179 7.537572
324
7.491329
311 306
7.190751 7.075145
278
6.427746
272 267
6.289017 6.173410
257
5.942197
249
5.757225
245
5.664740
241
5.572254
240 238
5.549133 5.502890
238
5.502890
Linking Speakers of the German parliament to Wikidata
property P39
propertyLabel position held
P106
occupation
P140 P166
religion or worldview award received
P166
award received
P1344
participant in
P512 P19 P39
academic degree place of birth position held
P937 P463
work location member of
P102 P937 P39
member of political party work location position held
P39
position held
P937 P39
work location position held
P106 P39
occupation position held
P106 P1343 P20 P735 P101 P102
occupation described by source place of death given name field of work member of political party
P102 P20 P937 P937 P140
member of political party place of death work location work location religion or worldview
P39
position held
P166
award received
objectDisplay Representative of the Parliamentary Assembly of the Council of Europe (Q65494714) university teacher (Q1622272) Catholic Church (Q9592) Great Cross with Star and Sash of the Order of Merit of the Federal Republic of Germany (Q10905171) Knight Commander’s Cross of the Order of Merit of the Federal Republic of Germany (Q10905235) list of participants in the coalition talks between the CDU/CSU and SPD in 2013 (Q15829617) doctorate (Q849697) Berlin (Q64) member of the Landtag of North Rhine-Westphalia (Q17781726) Düsseldorf (Q1718) European Union Parliamentary Group in the German Bundestag (Q1375174) Die Linke (Q49764) Munich (Q1726) member of the Abgeordnetenhaus of Berlin (Q18327335) member of the Landtag of Bavaria (Q17586301) Hanover (Q1715) member of the Volkskammer (Q18557729) judge (Q16533) member of the Landtag of Lower Saxony (Q17521638) journalist (Q1930187) Obálky knih (Q67311526) Bonn (Q586) Hans (Q632842) politics (Q7163) Party of Democratic Socialism (Q152554) Centre Party (Q157537) Berlin (Q64) Stuttgart (Q1022) Wiesbaden (Q1721) Lutheran Churches (Q5415686) member of the Landtag of Hesse (Q17519166) Order of Merit of BadenWürttemberg (Q445673)
11
n_people coverage_percent 228 5.271676
215
4.971098
208 203
4.809249 4.693642
201
4.647399
197
4.554913
192 189 183
4.439306 4.369942 4.231214
182 164
4.208092 3.791908
156 155 147
3.606936 3.583815 3.398844
139
3.213873
132 127
3.052023 2.936416
123 123
2.843931 2.843931
122 122 120 120 113 111
2.820809 2.820809 2.774566 2.774566 2.612717 2.566474
106 104 104 103 102
2.450867 2.404624 2.404624 2.381503 2.358382
101
2.335260
100
2.312139
12
Haider et al.
property P166
propertyLabel award received
P39
position held
P19 P69
place of birth educated at
P937 P166
work location award received
P735 P102
given name member of political party
P39
position held
P39
position held
P19 P69
place of birth educated at
P937 P1971 P39
work location number of children position held
P512 P140
academic degree religion or worldview
P106 P39 P735 P735 P20 P735 P463
occupation position held given name given name place of death given name member of
P140 P102
religion or worldview member of political party
P69
educated at
P735 P140 P39
given name religion or worldview position held
P1971 P607 P735 P937 P106 P735 P1196
number of children participated in conflict given name work location occupation given name manner of death
objectDisplay Grand Cross 1st class of the Order of Merit of the Federal Republic of Germany (Q10905105) Berlin member of the Bundestag (Q821448) Hamburg (Q1055) Ludwig-MaximiliansUniversität München (Q55044) Hamburg (Q1055) Order of Merit of North Rhine-Westphalia (Q318770) Karl (Q15731830) Alternative for Germany (Q6721203) member of the Landtag of Baden-Württemberg (Q17481175) member of the Hamburg Parliament (Q19360355) Munich (Q1726) University of Bonn (Q152171) Mainz (Q1720) 2 [integer] member of Landtag of Rhineland-Palatinate (Q18618563) Doctor of Laws (Q959320) Protestant church (Q346575) economist (Q188094) Landrat (Q514725) Wolfgang (Q2589157) Peter (Q2793400) Munich (Q1726) Hermann (Q1158570) Parlamentarische Linke (Q2052863) Lutheranism (Q75809) Socialist Unity Party of Germany (Q49750) University of Hamburg (Q156725) Josef (Q15730712) Catholicism (Q1841) Senator of Berlin (Q28978682) 3 [integer] World War II (Q362) Klaus (Q15635230) Kiel (Q1707) writer (Q36180) Walter (Q499249) natural causes (Q3739104)
n_people coverage_percent 99 2.289017
99
2.289017
98 98
2.265896 2.265896
95 94
2.196532 2.173410
94 92
2.173410 2.127168
92
2.127168
92
2.127168
91 88
2.104046 2.034682
88 85 83
2.034682 1.965318 1.919075
83 82
1.919075 1.895954
81 79 79 77 74 74 73
1.872832 1.826590 1.826590 1.780347 1.710983 1.710983 1.687861
69 67
1.595376 1.549133
65
1.502890
65 64 64
1.502890 1.479769 1.479769
63 63 62 62 60 60 59
1.456647 1.456647 1.433526 1.433526 1.387283 1.387283 1.364162
Linking Speakers of the German parliament to Wikidata
property P39
propertyLabel position held
P106 P735 P735 P1971 P102
occupation given name given name number of children member of political party
P20 P39
place of death position held
P69
educated at
P735 P69
given name educated at
P735 P734 P106 P166
given name family name occupation award received
P19 P735 P937 P463
place of birth given name work location member of
P735 P735 P106
given name given name occupation
P69
educated at
P102 P1412 P19 P19 P39
member of political party languages spoken, written or signed place of birth place of birth position held
P39
position held
P735 P607 P69
given name participated in conflict educated at
P69
educated at
P735 P735 P463 P463
given name given name member of member of
13
objectDisplay member of the Landtag of Schleswig-Holstein (Q18130496) trade unionist (Q15627169) Wilhelm (Q11027623) Heinrich (Q2018484) 1 [integer] Christian Democratic Union (GDR) (Q49754) Hamburg (Q1055) President of the Bundesrat of Germany (Q363637) University of Tübingen (Q153978) Fritz (Q1158596) Freie Universität Berlin (Q153006) Georg (Q1985538) Müller (Q8157228) farmer (Q131512) Wilhelm Leuschner Medal (Q2571514) Stuttgart (Q1022) Werner (Q676823) Dresden (Q1731) Netzwerk Berlin (Q1978977) Franz (Q4925932) Gerhard (Q7996169) political scientist (Q1238570) Humboldt-Universität zu Berlin (Q152087) German Party (Q674695) English (Q1860) Essen (Q2066) Cologne (Q365) member of the Landtag of Saxony (Q17334379) secretary of state (Q736559) Michael (Q4927524) World War I (Q361) University of Göttingen (Q152838) University of Cologne (Q54096) Friedrich (Q14038597) Otto (Q18029644) Young Union (Q497594) Atlantik-Brücke (Q756504)
n_people coverage_percent 59 1.364162
58 58 58 57 56
1.341040 1.341040 1.341040 1.317919 1.294798
54 54
1.248555 1.248555
54
1.248555
53 52
1.225434 1.202312
52 51 50 49
1.202312 1.179191 1.156069 1.132948
49 49 49 48
1.132948 1.132948 1.132948 1.109827
48 48 47
1.109827 1.109827 1.086705
47
1.086705
45 45
1.040462 1.040462
45 44 44
1.040462 1.017341 1.017341
44
1.017341
44 42 42
1.017341 0.971098 0.971098
42
0.971098
42 42 41 41
0.971098 0.971098 0.947977 0.947977
Table 3: Place of Birth Statements (property P19, label place of birth) place Berlin (Q64)
n_people 189
coverage_percent 4.369942
14
Haider et al.
Hamburg (Q1055) Munich (Q1726) Stuttgart (Q1022) Essen (Q2066) Cologne (Q365) Hanover (Q1715) Leipzig (Q2079) Frankfurt (Q1794) Düsseldorf (Q1718) Wrocław (Q1799) Bremen (Q24879) Kiel (Q1707) Kassel (Q2865) Duisburg (Q2100) Bochum (Q2103) Münster (Q2742) Dortmund (Q1295) Dresden (Q1731) Nuremberg (Q2090) Heidelberg (Q2966) Freiburg im Breisgau (Q2833) Magdeburg (Q1733) Lübeck (Q2843) Mainz (Q1720) Karlsruhe (Q1040) Brunswick (Q2773) Osnabrück (Q2916) Saarbrücken (Q1724) Bonn (Q586) Wuppertal (Q2107) Augsburg (Q2749) Königsberg (Q4120832) Göttingen (Q3033) Oberhausen (Q2838) Würzburg (Q2999) Hildesheim (Q3185) Potsdam (Q1711) Chemnitz (Q2795) Rostock (Q2861) Ludwigshafen (Q2910) Darmstadt (Q2973) Aachen (Q1017) Erfurt (Q1729) Bielefeld (Q2112) Mönchengladbach (Q2758) Hagen (Q2871) Koblenz (Q3104) Siegen (Q3167) Szczecin (Q393) Barmen (Q153974) Wiesbaden (Q1721) Mannheim (Q2119) Gelsenkirchen (Q2765) Halle (Saale) (Q2814) Zwickau (Q3778) Marburg (Q3869) Giessen (Q3874) Krefeld (Q2805) Regensburg (Q2978)
98 91 49 45 44 39 38 34 33 29 29 27 27 26 25 25 24 24 24 23 21 20 20 19 18 18 18 17 17 16 16 16 15 14 14 14 13 13 13 13 13 12 12 12 12 12 12 12 12 11 11 11 11 11 11 11 11 10 10
2.265896 2.104046 1.132948 1.040462 1.017341 0.901734 0.878613 0.786127 0.763006 0.670520 0.670520 0.624277 0.624277 0.601156 0.578035 0.578035 0.554913 0.554913 0.554913 0.531792 0.485549 0.462428 0.462428 0.439306 0.416185 0.416185 0.416185 0.393064 0.393064 0.369942 0.369942 0.369942 0.346821 0.323699 0.323699 0.323699 0.300578 0.300578 0.300578 0.300578 0.300578 0.277457 0.277457 0.277457 0.277457 0.277457 0.277457 0.277457 0.277457 0.254335 0.254335 0.254335 0.254335 0.254335 0.254335 0.254335 0.254335 0.231214 0.231214
Linking Speakers of the German parliament to Wikidata
Kaiserslautern (Q3758) Gdańsk (Q1792) Mülheim an der Ruhr (Q2899) Oldenburg (Q2936) Gera (Q3750) Constance (Q3834) Celle (Q3933) Herford (Q3971) Bremerhaven (Q2706) Paderborn (Q2971) Trier (Q3138) Tübingen (Q3806) Neunkirchen (Q6880) Elberfeld (Q702259) Rheydt (Q702411) Bad Kreuznach (Q7047) Leer (Q15984) Hamm (Q2880) Herne (Q2904) Offenbach am Main (Q3042) Remscheid (Q3097) Jena (Q3150) Gütersloh (Q3771) Wilhelmshaven (Q3857) Castrop-Rauxel (Q3898) Weimar (Q3955) Fulda (Q3963) Neuwied (Q3967) Schwäbisch Gmünd (Q4037) Schweinfurt (Q4126) Völklingen (Q14876) Wernigerode (Q15982) Solingen (Q2942) Bottrop (Q3069) Neheim-Hüsten (Q314660) Marl (Q3813) Worms (Q3852) Lüdenscheid (Q3893) Bayreuth (Q3923) Brandenburg an der Havel (Q3931) Herten (Q3985) Frankfurt (Oder) (Q4024) Offenburg (Q4044) Wetzlar (Q4178) Passau (Q4190) Katowice (Q588) Heilbronn (Q715)
10 9 9 9 9 9 9 9 8 8 8 8 8 8 8 8 7 7 7 7 7 7 7 7 7 7 7 7 7 7 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
15
0.231214 0.208092 0.208092 0.208092 0.208092 0.208092 0.208092 0.208092 0.184971 0.184971 0.184971 0.184971 0.184971 0.184971 0.184971 0.184971 0.161850 0.161850 0.161850 0.161850 0.161850 0.161850 0.161850 0.161850 0.161850 0.161850 0.161850 0.161850 0.161850 0.161850 0.138728 0.138728 0.138728 0.138728 0.138728 0.138728 0.138728 0.138728 0.138728 0.138728 0.138728 0.138728 0.138728 0.138728 0.138728 0.138728 0.138728
16
Haider et al.
Table 4: Language properties with number of people and coverage percentage property P1412 P103 P1412 P6886 P103 P1412 P1412 P1412 P1412
propertyLabel languages spoken, written or signed native language languages spoken, written or signed writing language native language languages spoken, written or signed languages spoken, written or signed languages spoken, written or signed languages spoken, written or signed
language German (Q188) German (Q188) English (Q1860) German (Q188) Turkish (Q256) Turkish (Q256) French (Q150) Polish (Q809) Russian (Q7737)
n_people 4313 3719 45 19 15 15 14 6 5
coverage_percent 99.722543 85.988439 1.040462 0.439306 0.346821 0.346821 0.323699 0.138728 0.115607
Related documents
- Linking Speakers of the German Parliament to Wikidata: Scope and Coverage of Metadata#1012484
- 2 U.S.C. § 168b — Printing and distribution of additional copies of Constitution Annotated#558550
- Transcripts#453465
- Clarence Faulk Collection#939042
- Under a new archival umbrella : the investment in a national search engine and its implications for the use of archives / Ann-Sofie Klareld, Peter Bauer#983237
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive