Enriching Media Collections for Event-Based Exploration
| Autor: | de Boer, V., Melgar, L., Inel, O., Martinez Ortiz, C., Aroyo, L., Oomen, J., Garoufallou, E., Virkus, S., Siatri, R., Koutsomiha, D. |
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| Přispěvatelé: | AHM (FGw) |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Structure (mathematical logic)
Mixed media Computer science Event (computing) business.industry Event based 02 engineering and technology Object (computer science) World Wide Web Subject-matter expert 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business Requirements analysis Publication |
| Zdroj: | Metadata and Semantic Research ISBN: 9783319708621 MTSR Metadata and Semantic Research: 11th International Conference, MTSR 2017, Tallinn, Estonia, November 28–December 1, 2017 : proceedings, 189-201 STARTPAGE=189;ENDPAGE=201;TITLE=Metadata and Semantic Research |
| Popis: | Scholars currently have access to large heterogeneous media collections on the Web, which they use as sources for their research. Exploration of such collections is an important part in their research, where scholars make sense of these heterogeneous datasets. Knowledge graphs which relate media objects, people and places with historical events can provide a valuable structure for more meaningful and serendipitous browsing. Based on extensive requirements analysis done with historians and media scholars, we present a methodology to publish, represent, enrich, and link heritage collections so that they can be explored by domain expert users. We present four methods to derive events from media object descriptions. We also present a case study where four datasets with mixed media types are made accessible to scholars and describe the building blocks for event-based proto-narratives in the knowledge graph. |
| Databáze: | OpenAIRE |
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