Common Facets For Indexing Of Enterprise Entities On Information Retrieval Systems

2365 words - 10 pages

1 Introduction

The research question this paper are meant to answer is: what are the main characteristics of enterprise information which are common to different companies?
Certainly, there are common characteristics of information in some companies, but the identification of common attributes in the whole enterprise domain requires a domain analysis.
All the companies depend on information to do work and to make decisions.
And even different companies do common tasks and have similar organizational units such as finance, human resources, information technology, marketing and customer relationship.
However, even so similar companies can refer differently to subjects1 in different economies and in different units (e.g. intern as a student/client for a university; intern as a student employee for an engineering firm; and intern as a worker, employee, or volunteer for the law).

The generalisation of enterprise domain is challenging and it faces three main obstacles.
First of all, companies are uncomfortable to publicly expose their data as most of their information are classified, strategic or sensitive, exposing clients, employees, partners and future plans (TRECENT).
Additionally, the adoption of any company data is unreliable to represent the whole enterprise domain and support the project of more efficient enterprise information retrieval systems for all the other companies (informationIntegration05).
And finally, once empiricism does not answer why and how long the behaviour have happened, the interpretation of enterprise domain requires more than empirical and statistical methods, but a rational, historic and deeper study about the nature, purpose and use of information in the enterprise context (hjorland-eleven).

This work aims to propose a set of meta-attributes, or facets, which form a group of common characteristics based on a domain analysis while they support the development of more meaningful information retrieval systems, taxonomies and ontologies2.
For example, facets such as space and time are more general and they reflect the places and the temporal intervals where and when the information is produced and used.
Also, other facets seem universal such as institutions, authors, addressees, clients, partners, government and suppliers.
The association between terms and facets is another objective and it is an important tool to evaluation and personalisation of repositories in specific companies3.
However, the proposed facets still represent classes of information from only two enterprise repositories and further studies should be done to consider them appropriate facets to any repository from the enterprise domain.

The identification of meaningful facets of the enterprise domain improves the knowledge organization and may enable an efficient information organization4.
The knowledge organization depends on a consensual and more general understanding of the domain while the information organization is based on an empiric, pragmatic,...

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