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AgRelOn: The Agent Relationship Ontology

Berenike Litz, Aenne Löhden, Jan Hannemann, Lars G. Svensson

| 23 | AgRelOn : MTSR Cádiz | November 29, 20122

When digitising cultural heritage data, one important goal is to put the content into a network of entities

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Metadata specialists build this network through the use of authority files

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GND

ICONCLASS

LCSHNAF

DDCAAT

VIAF

AGROVOC

TGN

RAMEAU

STW

The connections between persons in our authority data is described through manual annotations

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A more formalised method is necessary in order to make this information machine-understandable

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http://d-nb.info/gnd/118543601

http://d-nb.info/gnd/11855042X

„Hesse, Hermann“@de

„Gundert, Hermann“@de

gnd:preferredNameForThePerson

gnd:preferredNameForThePersonex:grandfatherOf

We developed an ontology describing those relations

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AgRelOn aims to enable semantic searchability of personal relations

7 | 23 | AgRelOn : MTSR Cádiz | November 29, 2012

In CONTENTUS, we performed named entity recognition and wanted to explore the relations

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11 22 33 44 55 66

Face Logo

Text Person

Speaker 1 Speaker 2

Image

Text

Title

Knowledge base

FilmInformation about actors, director, producers, music, sequence, year of production. Short description of the picture, video sequence…What is in the film, rights.Any other relevant information as short summary of content for fast access…

Related booksYear of printing, editions, authors, summary of the book….

Related internet linksYear of printing, editions, authors, summary of the book….

Related music scoreYear of printing, editions, authors, summary of the book….

Related films Year of printing, editions, authors, summary of the book….

Related songsYear of printing, editions, authors, summary of the book….

Related newsYear of printing, editions, authors, summary of the book….

Digitisation

Automatic quality analysis and optimisation

Automatic content ana- lysis and meta- data generation

Semiautomatic semantic linking

Open know- ledge network

semantic multimedia search

COREProfessionals(Media archives…)

MANTELAutomated(Learning)

SHELLEnd-user(wikipedia)

We investigated other vocabularies, and had problems with ontological commitment

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Vocabularies for agents and agent relations- BIO- FoaF- genont, srcont- RELATIONSHIP- SIOC

Vocabularies for meta-statements

- OPMV- Provenance Vocabulary

Investigated vocabularies:

Library and cultural heritage vocabularies

- CIDOC CRM- DC- EDM- MADS- METS- MIX- MODS- RDA- SKOS- Old DNB Linked Data-Model

A further requirement was a good fit with the project specific CONTENTUS ontology

10 | 23 | AgRelOn : MTSR Cádiz | November 29, 2012

The modelled relationships are based on actual data from a GND predesessor

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Beside kinship, modelling of artistic and other relations was important

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We modelled meta-knowledge by using n-ary relations

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The ontology was populated through several sources

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AgRelOn

PND

Web 2.0

The ontology has been evaluated successfully in several research projects

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A subset of AgRelOn relations are used in the GND

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… … …

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

… … …

The ALEXANDRIA relationship browser helps exploring networks of people

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Of particular interest is the SMMS developed in CONTENTUS

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But is this level of granularity really necessary?

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http://d-nb.info/gnd/118543601

http://d-nb.info/gnd/11855042X

foaf:knows

The connections between entities in the authority file were given using textual descriptions, but we needed something machine-understandable

| 23 | AgRelOn : MTSR Cádiz | November 29, 201220

http://d-nb.info/gnd/118543601

http://d-nb.info/gnd/11855042X

„Hesse, Hermann“@de

„Gundert, Hermann“@de

gnd:preferredNameForThePersonex:grandfatherOf

We developed an ontology describing those relations

| 23 | AgRelOn : MTSR Cádiz | November 29, 201221

Particularly the relation hierarchy made UI design easier

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AgRelOn – for the relation between Kallimachos and Tim Berners-Lee

| 23 | AgRelOn : MTSR Cádiz | November 29, 201223 htt

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