Exploit unstructured data using deep analytics to optimise enterprise IT asset management
by Lorraine M. Herger; Shakil M. Khan; Brian M. Belgodere; Mathew McCarthy
International Journal of Business Process Integration and Management (IJBPIM), Vol. 6, No. 4, 2013

Abstract: Unstructured data pose a huge risk towards supporting critical goals of sustainable reconciliation of inventory due to over spending and audit exposure. They are inherently fragmented, incomplete and without restriction. Hence domain specific explicit information extracted from unstructured data may not be complete or contextually accurate or both for reconciliation. It requires inference to extract implicit information to make the extracted information usefully complete. Domain reconciliation modelled in relational database is static, requires deep domain knowledge prior to modelling and depends on surface commonalities of data labels and values between source and target. These design constraints make relational model-based reconciliation unfit for reconciling entities extracted from unstructured data. In this paper we propose an ontology-based semantic information model and semantic reconciliation mediator to extract valid entity information from unstructured data in knowledge format and reconcile them using pattern-based reconciliation. This agile, superior way of integrating information makes it possible to support unstructured information processing through inference and incorporates effects of temporal events that impact the ownership and usage rights of resources as well.

Online publication date: Thu, 31-Jul-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business Process Integration and Management (IJBPIM):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com