Paper Info
Title
Analyzing Document Intensive Business Processes using Ontology
Abstract
Knowledge is manifested in an enterprise in various forms ranging from unstructured operational data, to structured information like programs, as well as relational data stored in databases to semi-structured information stored in XML files. This information embodies the core of an enterprise knowledge base and analyzing the knowledge base can result in intelligent decision making. In order to realize this goal we begin with representing and analyzing unstructured knowledge present in an enterprise. In particular, this paper presents a real life example of a document intensive business process (International Trade) and attempts to model and analyze the process in a formal way. Typically, the information contained in a document intensive business process is of operational nature and requires extensive manual verification, which is both time consuming and error prone. Therefore, this research aims to eliminate such exhaustive manual verification by constructing a knowledge base in the form of ontology and apply suitable rule based reasoners to automate the verification process.
Year
DOI
Venue
2015
10.1145/2806416.2806638
ACM International Conference on Information and Knowledge Management
Field
DocType
Citations 
Data mining,Knowledge representation and reasoning,Relational database,XML,Information retrieval,Business process,Computer science,Knowledge-based systems,Knowledge extraction,Knowledge base,Open Knowledge Base Connectivity
Conference
0
PageRank 
References 
Authors
0.34
2
3
Name
Order
Citations
PageRank
Suman Roychoudhury116916.58
Vinay Kulkarni231445.93
Nikhil Bellarykar350.81