Conceptualising and structuring semantics in cooperative enterprise information systems models

Abstract

Enterprise performance is, now more than ever, one of the key points for reaching the market success. In order to increase it, economics paradigms focus on how to better manage knowledge acquiring, sharing and update. Knowledge management can be approached with the possibility offered by the sustainability goals trying to optimize different enterprise strategic domains. The modern architecture of information systems (ISs) is based on distributed networks with a grand challenge of representing and sharing knowledge managed by ISs and consequently, to remove semantics interoperability barriers. First, this paper analyses interoperability issues between Cooperative Enterprise Information Systems (CEIS). Based on this analysis, the authors propose a conceptualisation approach for semantics discovery and management in Enterprise Information Systems models, based on applying fact-oriented transformation rules. The input of the transformation process is a conceptualised UML class model, reverse-engineered from an implemented model, and transformed into a Fact-Oriented Model (FOM), which makes explicit the finest-grained semantics. Semantics aggregates are then computed for structuring the whole semantics embedded in enterprise applications. They define independent set of concepts with their own minimal mandatory semantics. Finally a case study is proposed to validate the practicability of our approach in a real scaled scenario involving an Enterprise Resource Planning (ERP) and a Manufacturing Execution System (MES).

Using Formal Measures to Improve Maturity Model Assessment for Conceptual Interoperability

“…These models are composed by Semantic blocks that represent independent piece of knowledge containing their own minimal semantics. A Semantic Block is composed by Concepts which can be "Lexical" or "Non-Lexical" concepts [21]. Fig.…”

“…Fig. 1 shows the links between MMEI concepts and the metamodel of semantic block structure [21] used by Yahia et al [13] to determine their proposed measures. The specific MMEI elements are coloured in grey and the metamodel elements are coloured in white.…”

“…This process was introduced when the new responsible was chosen (the Concept Factory Account Director). This leads to work on the tacit knowledge [21]. In the specific case study the knowledge is trapped in employees mind.…”

The Survey of Information Systems in Public Administration in Poland

“…These systems enhance certain processes in their fields of operation, e.g., human resources processes, accounting processes, or processes of providing services for government clients. The data gathered and integrated in EIS systems most often supply BI systems (Lezochea, Yahiaa, Aubrya, Panettoa, & Zdravkovic, 2012;Shang & Seddon, 2002).…”

Semantic interoperability of large systems through a formal method: Relational Concept Analysis

“…This underline the need for interoperability as well as the difficulty in dealing with lossless model transformations occurring at each level of the system boundaries. Interoperability can be defined as the ability of two or more systems to share, to understand and to consume information (Lezoche at al., 2012). Our research focuses on the conceptual level of interoperability, namely the ability to understand the exchanged information.…”