Conceptual Information Systems unfold the conceptual structure of data stored in relational databases. In the design phase of the system, conceptual hierarchies have to be created which describe diier-ent aspects of the data. In this paper, we describe two principal ways of designing such conceptual hierarchies, data driven design and theory driven design, and discuss advantages and drawbacks. ...

The purpose of this descriptive study is to investigate the perceptions of occupational therapists working in school-based settings regarding their level of preparation for practice. The Survey of School-Based Practice was mailed to 1,102 occupational therapists working in school-based practice (SBP) throughout the United States. The mailing was based on a random sampling of 20% of the School S...

In this paper, we address the problem of detecting expressions of moral values in tweets using content analysis. This is a particularly challenging problem because moral values are often only implicitly signaled in language, and tweets contain little contextual information due to length constraints. To address these obstacles, we present a novel approach to automatically acquire background know...

AKT is a major research project applying a variety of technologies to knowledge management. Knowledge is a dynamic, ubiquitous resource, which is to be found equally in an expert's head, under terabytes of data, or explicitly stated in manuals. AKT will extend knowledge management technologies to exploit the potential of the semantic web, covering the use of knowledge over its entire lifecycle,...

Knowledge is becoming increasingly recognized as a valuable resource. Given its importance it is surprising that expert systems technology has not become a more common means of utilizing knowledge. In this chapter we review some of the history of expert systems, the shortcomings of first generation expert systems, current approaches and future decisions. In particular we consider a knowledge ac...

The goal of a coreference resolution (CR) system is to take unstructured text and produce coreference chains of all the entities within it. This task is normally broken down into subordinate steps, such as detecting what entities can participate in coreference relations and what links between entities can be determined. This research attempts to address several problems found in general corefer...

Motivated by enabling intelligent robots/agents to make use of open-source knowledge resources to solve open-ended tasks, a weighted causal theory is introduced as the formal basis for the development of these robots/agents. The action model of a robot/agent is specified as a causal theory following McCain and Turner’s nonmonotonic causal theories. New knowledge is needed when the robot/agent i...

Language acquisition addresses two important text processing issues. The immediate problem is understanding a text in spite of the existence of lexical gaps. The long term issue is that the understander must incorporate new words into its lexicon for future use. This paper describes an approach to constructing new lexical entries in a gradual process by analyzing a sequence of example texts. Th...

Being expensive and time consuming, human knowledge acquisition has consistently been a major bottleneck for solving real problems. In this paper, we present a practical framework for acquiring high quality non-expert knowledge from on-demand workforce using Amazon Mechanical Turk (MTurk). We show how to apply this framework to collect large-scale human knowledge on AOL query classification in ...