DocumentCode :
3437655
Title :
Characterization of Corpora from Enterprise Technology Creation for Retrieval and Mining
Author :
Deolalikar, Vinay
Author_Institution :
HP-Autonomy Res., Sunnyvale, CA, USA
fYear :
2013
fDate :
7-10 Dec. 2013
Firstpage :
365
Lastpage :
369
Abstract :
Enterprise information management (EIM) deals with the demands upon enterprise unstructured information placed by applications such as eDiscovery, compliance, information lifecycle management, etc. Each of these applications poses a unique challenge to the retrieval and data mining of enterprise unstructured information. However, the study of EIM as a research field has long been hampered by the lack of availability of enterprise corpora. Due to this paucity of enterprise datasets, much of the research on information retrieval and mining that is meant for EIM is benchmarked on corpora that are vastly different in their structure than a typical enterprise corpus. An important category of enterprise corpora are those that arise during technology creation in an enterprise. Such corpora take center stage, for example, during eDiscovery requests arising from technology patent related litigation: an area of immense commercial impact. In this paper, we highlight the primary characteristics of enterprise corpora that arise during technology creation. At a high-level, these properties are project structure, heterogeneity, collaborations, and skew ness along various axes. We then study these characteristics in a carefully chosen enterprise corpus from a technology creation effort at a Fortune 10 corporation. In summary, we study the salient features of enterprise corpora and emphasize their structural properties. We hope that our study will spur effort in devising retrieval and mining techniques that are designed for EIM.
Keywords :
business data processing; data mining; information retrieval; EIM; corpora characterization; enterprise information management; enterprise technology creation; enterprise unstructured information data mining; enterprise unstructured information retrieval; Aggregates; Benchmark testing; Collaboration; Data mining; Information management; Information retrieval; Organizations; Enterprise Corpora; Enterprise Information Management; Technology Creation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Mining Workshops (ICDMW), 2013 IEEE 13th International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4799-3143-9
Type :
conf
DOI :
10.1109/ICDMW.2013.62
Filename :
6753943
Link To Document :
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