Knowledge and Information Systems
An International Journal
ISSN: 0219-1377 (printed version)
ISSN: 0219-3116 (electronic version)
by Springer

Volume 1, Number 2, May 1999

Critical Reviews

Agent-Based Systems for Intelligent Manufacturing: A State-of-the-Art Survey

Weiming Shen and Douglas H. Norrie

Abstract. Agent technology has been considered as an important approach for developing distributed intelligent manufacturing systems. A number of researchers have attempted to apply agent technology to manufacturing enterprise integration, supply chain management, manufacturing planning, scheduling and control, materials handling, and holonic manufacturing systems. This paper gives a brief survey of some related projects in this area, and discusses some key issues in developing agent-based manufacturing systems such as agent technology for enterprise integration and supply chain management, agent encapsulation, system architectures, dynamic system reconfiguration, learning, design and manufacturability assessments, distributed dynamic scheduling, integration of planning and scheduling, concurrent scheduling and execution, factory control structures, potential tools and standards for developing agent-based manufacturing systems. An extensive annotated bibliography is provided.

Regular Papers

On Modeling and Verification of Temporal Constraints in Production Workflows

Olivera Marjanovic and Maria E. Orlowska

Abstract. The dynamic nature of events, in particular business processes, is a natural and accepted feature of today's business environment. Therefore, workflow systems, if they are to successfully model portions of the real world, need to acknowledge the temporal aspect of business processes. This is particularly true for processes where any deviation from the prescribed model is either very expensive, dangerous or even illegal. Such processes include legal processes, airline maintenance or hazardous material handling. However, time modeling in workflows is still an open research problem. This paper proposes a framework for time modeling in production workflows. Relevant temporal constraints are presented, and rules for their verification are defined. Furthermore, to enable visualization of some temporal constraints, a concept of ``duration space" is introduced. The duration algorithm which calculates the shortest/longest workflow instance is presented. It is a generalization of two categories of algorithms: the shortest-path partitioning algorithm and the Critical Path Method (CPM). Based on the duration algorithm, the verification algorithm is designed to check the consistency of introduced temporal constraints.

Making Database Schema Hierarchical for Visual Access to Databases

Ping-Kuen Chen and Gwo-Dong Chen

Abstract. Making the database schema hierarchical can help a casual user retrieve information from a complex database. The hierarchical database schema provides further insight into database content and focuses on meaningful data by a top-down method. The user can proceed with a hierarchical visual query, which ultimately simplifies the query, reduces the syntax error rate and conserves the query time. In this paper, we present a hierarchical graph which makes the database schema hierarchical, naturally integrates the browsing and querying and, consequently, allows the user to proceed with an incremental query on the hierarchical database schema. Also proven herein are the existence, uniformity, and consistency of the hierarchical graph to verify that the graph can be used to query the database. This paper also discusses the semantics of high-level nodes and conducts an experiment to evaluate users' performance. Finally, we describe how one can use the hierarchical graph to unify the tasks of making the schema hierarchical, creating concept hierarchies, and integrating the databases.

HierarchyScan: A Hierarchical Algorithm for Similarity Search in Databases Consisting of Long Sequences

Chung-Sheng Li, Philip S. Yu, and Vittorio Castelli

Abstract. In this paper, a hierarchical algorithm, HierarchyScan, is proposed to efficiently locate one-dimensional subsequences within a collection of sequences with arbitrary length. The proposed algorithm performs correlation between the stored sequences and the template pattern in the transformed domain to identify subsequences in a scale- and phase-independent fashion. This is in contrast to those approaches based on the computation of Euclidean distance in the transformed domain. In the proposed hierarchical algorithm, the transformed domain representation of each original sequence is divided into multiple groups of coefficients. The matching is performed hierarchically from the group with the greatest filtering capability to the group with the lowest filtering capability. Only those subsequences whose maximum correlation value is higher than a predefined threshold will be selected for additional screening. This approach is compared to the sequential scanning and an order-of-magnitude speedup is observed.

Short Papers

IMC: A Method for Interval Calculus in Matrix

Shichao Zhang and Chengqi Zhang

Abstract. Time representation is important in many applications, such as temporal databases, planning, and multi-agents. Since Allen's work on binary interval relations (called interval algebra), many researchers have further investigated temporal information processing based on interval calculus. However, there are still some limitations, e.g. constraint satisfaction is a NP-hard problem in interval calculus. For this reason, we propose a new interpretation for interval relationships and their calculus in this paper, which establishes a new method to transform interval calculus into matrix calculus. Our experiments show that this method propagates temporal relations faster than interval algebra.


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