Story creation from heterogeneous data sources

Marat Fayzullin, V. S. Subrahmanian, Massimiliano Albanese, Carmine Cesarano, Antonio Picariello*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

There are numerous applications where there is a need to rapidly infer a story about a given subject from a given set of potentially heterogeneous data sources. In this paper, we formally define a story to be a set of facts about a given subject that satisfies a "story length" constraint. An optimal story is a story that maximizes the value of an objective function measuring the goodness of a story. We present algorithms to extract stories from text and other data sources. We also develop an algorithm to compute an optimal story, as well as three heuristic algorithms to rapidly compute a suboptimal story. We run experiments to show that constructing stories can be efficiently performed and that the stories constructed by these heuristic algorithms are high quality stories. We have built a prototype STORY system based on our model-we briefly describe the prototype as well as one application in this paper.

Original languageEnglish (US)
Pages (from-to)351-377
Number of pages27
JournalMultimedia Tools and Applications
Volume33
Issue number3
DOIs
StatePublished - Jun 2007
Externally publishedYes

Keywords

  • Algorithms
  • Databases
  • Framework
  • Heterogenous
  • Multimedia
  • Stories
  • Storytelling
  • Summarization

ASJC Scopus subject areas

  • Software
  • Media Technology
  • Hardware and Architecture
  • Computer Networks and Communications

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