International Journal of Cooperative Information Systems 

About: International Journal of Cooperative Information Systems is an academic journal published by World Scientific. The journal publishes majorly in the area(s): Indigenous & Information system. It has an ISSN identifier of 0218-8430. Over the lifetime, 708 publications have been published receiving 16988 citations. The journal is also known as: IJCIS.

Yarning About Yarning as a Legitimate Method in Indigenous Research

Abstract: This article demonstrates the credibility and rigor of yarning, an Indigenous cultural form of conversation, through its use as a data gathering tool with two different Indigenous groups, one in Australia and the second in Botswana. Yarning was employed not only to collect information during the research interview but to establish a relationship with Indigenous participants prior to gathering their stories through storytelling, also known as narrative. In exploring the concept of yarning in research, this article discusses the different types of yarning that emerged during the research project, how these differences were identified and their applicability in the research process. The influence of gender during the interview is also included in the discussion.

The dimensional fact model: a conceptual model for data warehouses

Abstract: Data warehousing systems enable enterprise managers to acquire and integrate information from heterogeneous sources and to query very large databases efficiently. Building a data warehouse requires adopting design and implementation techniques completely different from those underlying operational information systems. Though most scientific literature on the design of data warehouses concerns their logical and physical models, an accurate conceptual design is the necessary foundations for building a DW which is well-documented and fully satisfies requirements. In this paper we formalize a graphical conceptual model for data warehouses, called Dimensional Fact model, and propose a semi-automated methodology to build it from the pre-existing (conceptual or logical) schemes describing the enterprise relational database. The representation of reality built using our conceptual model consists of a set of fact schemes whose basic elements are facts, measures, attributes, dimensions and hierarchies; other featur...

Retrieving and Integrating Data from Multiple Information Sources

Abstract: With the current explosion of data, retrieving and integrating information from various sources is a critical problem. Work in multidatabase systems has begun to address this problem, but it has primarily focused on methods for communicating between databases and requires significant effort for each new database added to the system. This paper describes a more general approach that exploits a semantic model of a problem domain to integrate the information from various information sources. The information sources handled include both databases and knowledge bases, and other information sources (e.g. programs) could potentially be incorporated into the system. This paper describes how both the domain and the information sources are modeled, shows how a query at the domain level is mapped into a set of queries to individual information sources, and presents algorithms for automatically improving the efficiency of queries using knowledge about both the domain and the information sources. This work is implemented in a system called SIMS and has been tested in a transportation planning domain using nine Oracle databases and a Loom knowledge base.

Coordination of Multiple Intelligent Software Agents

Abstract: We are investigating techniques for developing distributed and adaptive collections of information agents that coordinate to retrieve, filter and fuse information relevant to the user, task and situation, as well as anticipate user's information needs. In our system of agents, information gathering is seamlessly integrated with decision support. The task for which particular information is requested of the agents does not remain in the user's head but it is explicitly represented and supported through agent collaboration. In this paper we present the distributed system architecture, agent collaboration interactions, and a reusable set of software components for structuring agents. The system architecture has three types of agents: Interface agents interact with the user receiving user specifications and delivering results. They acquire, model, and utilize user preferences to guide system coordination in support of the user's tasks. Task agents help users perform tasks by formulating problem solving plans and carrying out these plans through querying and exchanging information with other software agents. Information agents provide intelligent access to a heterogeneous collection of information sources. We have implemented this system framework and are developing collaborating agents in diverse complex real world tasks, such as organizational decision making, investment counseling, health care and electronic commerce.

DESIRE: Modelling Multi-Agent Systems in a Compositional Formal Framework

Abstract: This paper discusses an example of the application of a high-level modelling framework which supports both the specification and implementation of a system's conceptual design. This framework, DESIRE (framework for DEsign and Specification of Interacting REasoning components), explicitly models the knowledge, interaction, and coordination of complex tasks and reasoning capabilities in agent systems. For the application domain addressed in this paper, an operational multi-agent system which manages an electricity transportation network for a Spanish electricity utility, a comprehensible specification is presented.