We have developed a methodology for constructing domain-level expert knowledge bases automatically through crowdsourcing. This approach involves collecting and analyzing the work of numerous students within an intelligent tutor and using an intelligent algorithm to coalesce data to construct the domain model. This evolving expert knowledge base (EEKB) is then utilized to provide expert coaching...

Algorithmic research is an established knowledge engineering process that has allowed researchers to identify new or significant problems, to better understand existing approaches and experimental results, and to obtain new, effective and efficient solutions. While algorithmic researchers regularly contribute to this knowledge base by proposing new problems and novel solutions, the processes cu...

conclusions those with inadequate health literacy had lower kidney knowledge and lower adherence compared to those with adequate health literacy. after controlling for education, health literacy was significantly associated with kidney knowledge and adherence. patients with higher health literacy had higher kidney knowledge and adherence behaviors. in addition, knowledge was a mediator of healt...

There exist a large number of approaches for prioritization of software requirements. Despite of several empirical studies, there is still a lack of evidence of which approaches that are to prefer, since different studies have resulted in different conclusions. Reasons may be due to differences in contexts, variables measured, and data sets used. This paper presents a research framework for stu...

The difficulty of defining and capitalizing the knowledge in an organization from the business data captured in text files. These text files defined as unstructured document that is without a specific format example, plain text. Hence, this paper presents an Interrogative Knowledge Identification framework to identify unstructured documents that encompassed knowledge, information, and data. It ...

Time plays a crucial role in describing dynamic domain and resources on the Web. Most of current ontology languages, without notion of time or change, can only describe domain knowledge in a static sense. In order to bring structure to time-varying information, we propose an interval-based knowledge model (IKM), which is composed of a temporal knowledge schema, temporal integrity constraints an...

We describe the Information Manifold (IM), a system for browsing and querying of multiple networked information sources. As a first contribution, the system demonstrates the viability of knowledge representation technology for retrieval and organization of information from disparate (structured and unstructured) information sources. Such an organization allows the user to pose high-level querie...

High-level vision is concerned with constructing a model of the visual world and making use of this knowledge for later recognition. In this paper, we develop a general framework for representing uncertain knowledge in high-level vision. Starting from a probabilistic network representation, we develop a structure for presenting visual knowledge, and techniques for probability propagation, param...

We have enhanced a computational cognitive agent by embodying it with real and simulated bodies operating in real and simulated worlds. This has allowed us to experiment with various ways that embodiment in-uences the creation and meaning of the agent's beliefs and other terms in its knowledge base, including: symbol-grounding by perception and action; rst-person privileged knowledge; the repre...