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Konferenzbeitrag

Entity Timelines: Visual Analytics and Named Entity Evolution

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons45016

Mazeika,  Arturas
Databases and Information Systems, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45644

Tylenda,  Tomasz
Databases and Information Systems, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45720

Weikum,  Gerhard
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Zitation

Mazeika, A., Tylenda, T., & Weikum, G. (2011). Entity Timelines: Visual Analytics and Named Entity Evolution. In B. Berendt, A. de Vries, W. Fan, & C. Macdonald (Eds.), CIKM’11 (pp. 2585-2588). New York, NY: ACM. doi:10.1145/2063576.2064026.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0010-1452-0
Zusammenfassung
The constantly evolving Web reflects the evolution of society. Kno\-wledge about entities (people, companies, political parties, etc.) evolves over time. Facts add up (e.g., awards, lawsuits, divorces), change (e.g., spouses, CEOs, political positions), and even cease to exist (e.g., countries split into smaller or join into bigger ones). Analytics of the evolution of the entities poses many challenges including extraction, disambiguation, and canonization of entities from large text collections as well as introduction of specific analysis and interactivity methods for the evolving entity data. In this demonstration proposal\footnote{A preview of the system is available at http://evolution.mpi-inf.mpg.de/timelines/}, we consider a~novel problem of the evolution of named entities. To this end, we have extracted, disambiguated, canonicalized, and connected named entities with the YAGO ontology. To analyze the evolution we have developed a visual analytics system. Careful preprocessing and ranking of the ontological data allowed us to propose wide range of effective interactions and data analysis techniques including advanced filtering, contrasting timeliness of entities and drill down/roll up evolving data.