Physical Sciences and Mathematics Commons^™

Big Data: Immediate Opportunities And Longer Term Challenges, Jens Pohl, Kym Jason Pohl

Collaborative Agent Design (CAD) Research Center

The transformation of words, locations, and human interactions into digital data forms the basis of trend detection and information extraction opportunities that can be automated with the increasing availability of relatively inexpensive computer storage and processing technology. Trend detection, which focuses on what, is facilitated by the ability to apply analytics to an entire corpus of data instead of a random sample. Since the corpus essentially includes all data within a population there is no need to apply any of the precautions that are in order to ensure the representativeness of a sample in traditional statistical analysis. Several examples are …

Solving The Data Deluge Problem, Jens G. Pohl

Collaborative Agent Design (CAD) Research Center

The paper postulates that the information technology revolution that is commonly referred to as the Information Age is currently in a transition stage between data-processing and knowledge management that should be more aptly referred to as the Data Age. Symptoms of this transition stage are a data deluge problem that is evidenced by the inability of human computer-users to effectively analyze and draw useful conclusions from the overwhelming volume of data that is being collected, the increasing complexity of networked systems, and the acknowledged vulnerability of virtually all existing digital systems to cyber security threats.

The author suggests that the …

Conveyance Estimator Ontology: Conceptual Models And Object Models, Xiaoshan Pan, Jens G. Pohl

Collaborative Agent Design (CAD) Research Center

This paper proposes the construction of a Conceptual Model as a logical step prior to the preparation of the Object Model of an ontology to facilitate the design and development of software systems in which a high-level internal representation of context supports some intelligent capabilities. The intent of the Conceptual Model is to be expressive for human interpretation utilizing descriptions that are readily understood by laypersons, subject matter experts, and software developers who may be concerned with only a particular portion of the software system. The intent of the Object Model (as a subset of an ontology) is to be …

Increasing The Expressiveness Of Owl Through Procedural Attachments, Dennis Taylor, Jens G. Pohl

Collaborative Agent Design (CAD) Research Center

The purpose of this paper is to provide an introduction to the OWL Web ontology language, a survey focused on the current state of the art in OWL inferencing capabilities, and a historical perspective on procedural attachments. The perspective is aligned with current OWL research. Several limitations of the OWL language and proposed extensions to overcome these limitations are discussed. A framework that provides empirical testing support for evaluating the effects of procedural attachments to the OWL inferencing capabilities is outlined. The examples presented suggest that it is possible to provide rule-based extensibility support for OWL that does not limit …

The Representation Of Context In Computer Software, Hisham Assal, Kym Pohl, Jens G. Pohl

Collaborative Agent Design (CAD) Research Center

Computers do not have the equivalent of a human cognitive system and therefore store data simply as the numbers and words that are entered into the computer. For a computer to interpret data it requires an information structure that provides at least some level of context. This can be accomplished utilizing an ontology of objects with characteristics, semantic behavior, and a rich set of relationships to create a virtual version of real world situations and provide the context within which intelligent logic (e.g., agents) can automatically operate.

This paper discusses the process of developing ontologies that serve to …

Alternative Paths To Intelligent Systems, Jens G. Pohl

Collaborative Agent Design (CAD) Research Center

This paper examines the three prevalent approaches to Artificial Intelligence (AI), namely symbolic reasoning systems, connectionist systems, and emergent systems based on the principles of the subsumption theory. Distinguished by their top-down and bottom-up mechanisms all three approaches have strengths and weaknesses. While the logical reasoning approach is precise and well supported by mathematical theories and procedures, it is constrained by a largely predefined representational model. Connectionist systems, on the other hand, are able to recognize patterns even if these patterns are only similar and not identical to the patterns that they have been trained to recognize, but they have …

Knowledge Management Enterprise Services (Kmes): Concepts And Implementation Principles, Jens G. Pohl

Collaborative Agent Design (CAD) Research Center

The purpose of this paper is to present concepts and implementation principles related to the design and development of reusable software services that are capable of assisting users at the operational level. Knowledge Management Enterprise Services (KMES) are an implementation of the service-oriented architecture paradigm, with a focus on the exchange of data within the meaningful context of a particular application (i.e., knowledge) domain. This requires a KMES service to incorporate a high level representation of this knowledge domain in the form of an ontology that is shared among all collaborating services within the application environment and at the same …

The Evolution Of Intelligent Computer Software And The Semantic Web, Jens G. Pohl

Collaborative Agent Design (CAD) Research Center

The purpose of this paper is to trace the evolution of intelligent software from data-centric applications that essentially encapsulate their data environment to ontology-based applications with automated reasoning capabilities. The author draws a distinction between human intelligence and component capabilities within a more general definition of intelligence, which may be embedded in computer software. The primary vehicle in the quest for intelligent software has been the gradual recognition of the central role played by data and information, rather than the logic and functionality of the application. The three milestones in this evolution have been: the separation of data management from …

Ontological Approaches For Semantic Interoperability, Michael A. Zang, Jens G. Pohl

Collaborative Agent Design (CAD) Research Center

This paper provides a basic description of the concept of an ontology. It then describes how ontologies are structured and employed in the context of interfaces between software based information systems. This usage is discussed in the context of three successive levels of semantic interoperability between two example systems. The paper goes on to suggest that the interfaces between information systems should perhaps be viewed and implemented as systems themselves. The paper concludes by providing a brief summary of what was discussed.

The Emerging Knowledge Management Paradigm: Some Organizational And Technical Issues, Jens G. Pohl

Collaborative Agent Design (CAD) Research Center

This paper addresses the expectations, organizational implications, and information processing requirements, of the emerging knowledge management paradigm. A brief discussion of the enablement of the individual through the wide-spread availability of computer and communication facilities, is followed by a description of the structural evolution of organizations, and the architecture of a computer-based knowledge management system. The author discusses two trends that are driven by the treatment of information and knowledge as a commodity: increased concern for the management and exploitation of knowledge within organizations; and, the creation of an organizational environment that facilitates the acquisition, sharing and application of knowledge. …

Data, Information, And Knowledge In The Context Of Sils, Michael A. Zang, Jens G. Pohl

Collaborative Agent Design (CAD) Research Center

Data, information, and knowledge are becoming increasingly common terms in the literature of the software industry. This terminology originated some time ago in the disciplines of cognitive science and artificial intelligence to reference three closely related but distinct concepts. Traditionally, mainstream software engineering has lumped all three concepts together as data and has only recently begun to distinguish between them. Unfortunately, the popular desire to distinguish between data, information, and knowledge within the mainstream has blurred the individual meanings of the words to the point where there is no longer a clear-cut distinction between them for most people. This problem …

Adapting To The Information Age, Jens G. Pohl

Collaborative Agent Design (CAD) Research Center

This paper draws attention to the profound changes that human civilization is experiencing as it moves from an industrial environment into an information environment, in which unprecedented emphasis is placed on the knowledge and capabilities of the individual. A clear distinction is drawn between data and information in relationship to computer-based facilities, and the transition of data-processing to the higher levels of information and knowledge representation in quasi intelligent decision-support systems. It is argued that the cultivation of its human capital becomes a foundational requirement for the success of a knowledge-based organization. In such an organization traditional practices of hierarchical, …