AgRelOn: An Agent Relationship Ontology

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This presentation is a companion to the conference paper for the MTSR 2012 in Cádiz (http://dx.doi.org/10.1007/978-3-642-35233-1_21). In this paper we present the Agent Relationship Ontology
AgRelOn. The ontology represents detailed knowledge about relations
between persons and corporate bodies. Transparency of trustworthiness
and provenance as well as other meta knowledge about facts is addressed
in a combined n-ary modeling approach. The ontology employs existing
standards in order to foster external comprehensibility, referenceability,
and reusability. It is already employed in a number of Semantic Web
related projects and is publicly available at http://d-nb.info/standards/elementset/agrelon.

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AgRelOn: An Agent Relationship Ontology

  1. 1. Berenike Litz, Aenne Löhden, Jan Hannemann, Lars G. Svensson AgRelOn: The Agent Relationship Ontology1 | 23 | AgRelOn : MTSR Cádiz | November 29, 2012
  2. 2. When digitising cultural heritage data, one important goal is to put the contentPhoto by Hardwarehank (CC BY-SA): http://www.flickr.com/photos/ralree/4613432242/ into a network of entities Photo by shokai (CC BY): http://www.flickr.com/photos/shokai/3255740983/ 2 | 23 | AgRelOn : MTSR Cádiz | November 29, 2012
  3. 3. Metadata specialists build this network through the use of authority files VIAF GND LCSH NAF RAMEAU AGROVOC ICONCLASS AAT DDC STW TGN3 | 23 | AgRelOn : MTSR Cádiz | November 29, 2012
  4. 4. The connections between persons in our authority data is described through manual annotations4 | 23 | AgRelOn : MTSR Cádiz | November 29, 2012
  5. 5. A more formalised method is necessary in order to make this information machine- understandable http://d- „Hesse, nb.info/gnd/ Hermann“@de 118543601 gnd:preferredName gnd:preferredName ForThePerson ex:grandfatherOf ForThePerson http://d- „Gundert, nb.info/gnd/ Hermann“@de 11855042X5 | 23 | AgRelOn : MTSR Cádiz | November 29, 2012
  6. 6. We developed an ontology describing those relations6 | 23 | AgRelOn : MTSR Cádiz | November 29, 2012
  7. 7. AgRelOn aims to enable semantic searchability of personal relations7 | 23 | AgRelOn : MTSR Cádiz | November 29, 2012
  8. 8. In CONTENTUS, we performed named entity recognition and wanted to explore the relations Logo Face Knowledge base SHELL End-user Film Information about actors, director, producers, (wikipedia) music, sequence, year of production. Short description of the picture, video sequence… W hat is in the film, rights. Any other relevant information as short summary of content for fast access… MANTEL Automated Related films Year of printing, editions, authors, summary of the (Learning) book…. Related books Text Person Year of printing, editions, authors, summary of the book…. Related music score Year of printing, editions, authors, summary of the book…. Related songs Year of printing, editions, authors, summary of the book…. Speaker 1 Speaker 2 Related news Year of printing, editions, authors, summary of the book…. Title CORE Related internet links Year of printing, editions, authors, summary of the book…. Professionals Image (Media archives…) Text 1 2 3 4 5 6 Automatic Automatic Semiautomatic semantic Open know- quality analysis content ana- semantic multimedia Digitisation and lysis and meta- ledge linking search optimisation data generation network8 | 23 | AgRelOn : MTSR Cádiz | November 29, 2012
  9. 9. We investigated other vocabularies, and had problems with ontological commitment Investigated vocabularies: Library and cultural Vocabularies for agents heritage vocabularies and agent relations - CIDOC CRM - BIO - DC - FoaF - EDM - genont, srcont - MADS - RELATIONSHIP - METS - SIOC - MIX Vocabularies for meta- - MODS - RDA statements - OPMV - SKOS - Provenance Vocabulary - Old DNB Linked Data-Model9 | 23 | AgRelOn : MTSR Cádiz | November 29, 2012
  10. 10. A further requirement was a good fit with the project specific CONTENTUS ontology10 | 23 | AgRelOn : MTSR Cádiz | November 29, 2012
  11. 11. The modelled relationships are based on actual data from a GND predesessor| 23 | AgRelOn : MTSR Cádiz | November 29, 2012
  12. 12. Beside kinship, modelling of artistic and other relations was important12 | 23 | AgRelOn : MTSR Cádiz | November 29, 2012
  13. 13. We modelled meta-knowledge by using n-ary relations13 | 23 | AgRelOn : MTSR Cádiz | November 29, 2012
  14. 14. The ontology was populated through several sources PND AgRelOn .0 b2 We14 | 23 | AgRelOn : MTSR Cádiz | November 29, 2012
  15. 15. The ontology has been evaluated successfully in several research projects15 | 23 | AgRelOn : MTSR Cádiz | November 29, 2012
  16. 16. A subset of AgRelOn relations are used in the GND … … … bete Beteiligte Tf; Tb; Ts; Tu beza Bekanntschaft mit Tp bezb Beziehung beruflich Tp bezf Beziehung familiär Tp bilh Bildhauer Tg; Tu … … … malr Maler Tu mitg Mitglied Tp (008 pxl;pxg;pif) musi Musiker Tb; Tf … … …16 | 23 | AgRelOn : MTSR Cádiz | November 29, 2012
  17. 17. The ALEXANDRIA relationship browser helps exploring networks of people17 | 23 | AgRelOn : MTSR Cádiz | November 29, 2012
  18. 18. Of particular interest is the SMMS developed in CONTENTUS18 | 23 | AgRelOn : MTSR Cádiz | November 29, 2012
  19. 19. But is this level of granularity really necessary? http://d- nb.info/gnd/ 118543601 foaf:knows http://d- nb.info/gnd/ 11855042X19 | 23 | AgRelOn : MTSR Cádiz | November 29, 2012
  20. 20. The connections between entities in the authority file were given using textual descriptions, but we needed something machine-understandable http://d- „Hesse, nb.info/gnd/ Hermann“@de 118543601 gnd:preferredName ex:grandfatherOf ForThePerson http://d- „Gundert, nb.info/gnd/ Hermann“@de 11855042X20 | 23 | AgRelOn : MTSR Cádiz | November 29, 2012
  21. 21. We developed an ontology describing those relations21 | 23 | AgRelOn : MTSR Cádiz | November 29, 2012
  22. 22. Particularly the relation hierarchy made UI design easier22 | 23 | AgRelOn : MTSR Cádiz | November 29, 2012
  23. 23. AgRelOn – for the relation between http://upload.wikimedia.org/wikipedia/commons/4/4d/Tim_Berners-Lee_CP_2_head_crop.jpg Kallimachos and Tim Berners-Lee23 | 23 | AgRelOn : MTSR Cádiz | November 29, 2012
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