Intelligent information management

Journal of Enterprise Information Management

ISSN: 1741-0398

Article publication date: 26 July 2011

Citation

Kahraman, C. (2011), "Intelligent information management", Journal of Enterprise Information Management, Vol. 24 No. 4. https://doi.org/10.1108/jeim.2011.08824daa.001

Publisher

:

Emerald Group Publishing Limited

Copyright © 2011, Emerald Group Publishing Limited


Intelligent information management

Article Type: Guest editorial From: Journal of Enterprise Information Management, Volume 24, Issue 4

Information management is a very important issue in modern enterprises. It is the collection and management of information from one or more sources and the distribution of that information to one or more audiences. Information management has become a powerful resource and a large expense for many organizations. Intelligent information management is a set of processes and underlying technology solutions that enable organizations to understand, organize and manage all sorts of data types.

“Fuzzy modeling and decision making in engineering” was the name of the special sessions chaired by me in the 9th International FLINS Conference on Foundations and Applications of Computational Intelligence (FLINS2010) August 2-4, 2010, Chengdu (EMei), China. The papers presented in these special sessions were extended and submitted after the conference for possible publication in this special issue of Journal of Enterprise Information Management. After a peer review using at least two referees for each paper, five papers included in this issue were accepted. The accepted papers are as follows.

In the first paper, Ma, Wei and Chen focus on the quality of search in enterprise information management on two respects: one is the coverage measure referring to the number of the results in the original set “covered” by the extracted small set of results; the other is the redundancy measure referring to the number of “redundant” results in the extracted small set. These two measures reflect the representativeness of a small set referred to the original set in two different ways.

In the second paper, Ustundag, Uurlu, and Kilinc provide a contribution by building the mental map among the concepts which are influencing technology transfer offices’ (TTOs) performance. The causal relationships are defined in a non-hierarchical network model. Initially, the pair wise influence degrees of the factors are determined by an empirical study. Thereafter, the impact of factors on the performance of TTOs is determined using the fuzzy cognitive maps.

In the third paper, Amailef and Lu design a mobile based emergency response system (MERS), as one of the important new services of m-Government, to provide help information to the government and citizens in an emergency situation through mobile communication. This paper presents an intelligent MERS framework, a text information extraction and aggregation algorithm to integrate information from multiple sources in the MERS system, and an ontology-supported case-based reasoning system for the MERS system.

In the next paper, Kahraman, Kaya, and Çevikcan introduce intelligence decision systems briefly and then give a literature review to show how the intelligence techniques have been used in information management systems. Among these intelligence techniques, multi-agent systems, fuzzy set theory, artificial neural networks, evolutionary computation, genetic algorithms, genetic programming, evolution strategies, evolutionary programming, classifier systems, ant colony optimization, particle swarm optimization, and hybrid systems are counted.

In the last paper, Qiu, Shi, Song, and Xu discuss a feasible realization method of workflow engine in detail for enterprise information management on the basis of database technology. Under the guidance of workflow management coalition, the data model of workflow engine is first presented based on the given process model and then the basic control principles of workflow engine are designed based on the necessary tables of process and activity instances.

I hope that this special issue will serve as a useful source of ideas, techniques, and methods for further research in intelligent information management. I am grateful to the referees whose valuable and highly appreciated works contributed to the selection of the high quality papers published in this special issue. My sincere thanks go to Professor Zahir Irani, the editor-in-chief who was highly instrumental in bringing this project to its fruitful completion.

Cengiz KahramanGuest Editor