2012 StorytellinginEntityNetworkstoS

• (Hossain et al., 2012) ⇒ M. Shahriar Hossain, Patrick Butler, Arnold P. Boedihardjo, and Naren Ramakrishnan. (2012). “Storytelling in Entity Networks to Support Intelligence Analysts.” In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2012). ISBN:978-1-4503-1462-6 doi:10.1145/2339530.2339742

Subject Headings:

Cited By

• http://scholar.google.com/scholar?q=%222012%22+Storytelling+in+Entity+Networks+to+Support+Intelligence+Analysts
• http://dl.acm.org/citation.cfm?id=2339530.2339742&preflayout=flat#citedby

Quotes

Author Keywords

• Connecting the dots; data mining; intelligence analysis; redescriptions; retrieval models; [[search process; storytelling

Abstract

Intelligence analysts grapple with many challenges, chief among them is the need for software support in storytelling, i.e., automatically ' connecting the dots' between disparate entities (e.g., people, organizations) in an effort to form hypotheses and suggest non-obvious relationships. We present a system to automatically construct stories in entity networks that can help form directed chains of relationships, with support for co-referencing, evidence marshaling, and imposing syntactic constraints on the story generation process. A novel optimization technique based on concept lattice mining enables us to rapidly construct stories on massive datasets. Using several public domain datasets, we illustrate how our approach overcomes many limitations of current systems and enables the analyst to efficiently narrow down to hypotheses of interest and reason about alternative explanations.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2012 StorytellinginEntityNetworkstoS	Naren Ramakrishnan M. Shahriar Hossain Arnold P. Boedihardjo Patrick Butler			Storytelling in Entity Networks to Support Intelligence Analysts				10.1145/2339530.2339742		2012