@article {17779,
	title = {Story creation from heterogeneous data sources},
	journal = {Multimedia Tools and Applications},
	volume = {33},
	year = {2007},
	month = {2007///},
	pages = {351 - 377},
	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 {\textquotedblleft}story length{\textquotedblright} 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{\textemdash}we briefly describe the prototype as well as one application in this paper.},
	doi = {10.1007/s11042-007-0100-4},
	author = {Fayzullin,M. and V.S. Subrahmanian and Albanese, M. and Cesarano,C. and Picariello, A.}
}
