Impact Of Domain Knowledge Research Articles

A Reusable and Executable Information Model of Experiments on Human Decision Making in Systems Engineering and Design

Understanding decision making in design is becoming increasingly important within systems engineering and design research. While controlled experiments are used for testing hypotheses and are playing a significant role in developing theories, there is a lack of support for capturing and reusing knowledge associated with experimental design. The goal of this paper is to model the information required for designing and executing experiments, thereby enabling the reuse of past experimental designs. Using declarative formulations of four aspects of an experiment, namely, problem , process , participants and incentives , we extract the generic elements and standardize the structure of information as a Decision Experiment Design Support (DEDS) template, based on which an ontology is developed. The information necessary to execute an experiment is archived as DEDS templates and represented by a frame-based ontology that can be reused from one experiment to another. The approach is illustrated using two example experiments for studying the decision strategies of information acquisition, and the impact of domain knowledge on decisions. This paper offers a fundamental step towards reducing the barriers in designing and executing behavioral experiments for design and systems engineering research.

Impact of domain knowledge on blinded predictions of binding energies by alchemical free energy calculations

The Drug Design Data Resource (D3R) consortium organises blinded challenges to address the latest advances in computational methods for ligand pose prediction, affinity ranking, and free energy calculations. Within the context of the second D3R Grand Challenge several blinded binding free energies predictions were made for two congeneric series of Farsenoid X Receptor (FXR) inhibitors with a semi-automated alchemical free energy calculation workflow featuring FESetup and SOMD software tools. Reasonable performance was observed in retrospective analyses of literature datasets. Nevertheless, blinded predictions on the full D3R datasets were poor due to difficulties encountered with the ranking of compounds that vary in their net-charge. Performance increased for predictions that were restricted to subsets of compounds carrying the same net-charge. Disclosure of X-ray crystallography derived binding modes maintained or improved the correlation with experiment in a subsequent rounds of predictions. The best performing protocols on D3R set1 and set2 were comparable or superior to predictions made on the basis of analysis of literature structure activity relationships (SAR)s only, and comparable or slightly inferior, to the best submissions from other groups.

The impact of domain knowledge on the effectiveness of requirements engineering activities

The impact of domain knowledge on the effectiveness of requirements engineering activities

Familiar Categories and Documentary Forms: Readers’ Perspectives

This paper presents an evaluation of the ways in which three different groups of readers (recordkeepers, teachers and secondary school students) categorise documents. This is used to show how they understand documents, documentary forms and genre. Drawing on a card sorting activity conducted around a set of cards of documents related to The Hobbit by J.R.R. Tolkien, the paper discusses the significance of familiar categories as cultural markers (closely linked to particular rhetorical genres). It considers the impact of domain knowledge on the process of sorting and naming of categories, and compares the approaches taken by participants with those of library catalogues. It finds that there is no single, consistent approach to categorising the cards, with different literary genres, rhetorical genres, reasons for using, format, accessibility, and form all affecting the final categories each participant developed.

The impact of domain knowledge on structured data collection and templated note design.

The objective of this case report is to evaluate the importance of specialized domain knowledge when designing and using structured templated notes in a clinical environment. To analyze the impact of specialization on structured note generation we compared notes generated for three scenarios: 1) We compared the templated history of present illness (HPI) for patients presenting with a dermatology concern to the dermatologist versus the emergency department. 2) We compared the evaluation of chest pain by ED physicians versus cardiologists. 3) Finally, we compared the data elements asked for in the evaluation of the gastrointestinal system between cardiologists and the liver transplant service (LTS). We used the SNOMED CT representation via BioPortal to evaluate specificity and grouping between data elements and specialized physician groups. We found few similarities in structured data elements designed by and for the specific physician groups. The distinctness represented both differences in granularity as well as fundamental differences in data elements requested. When compared to ED physicians, dermatologists had different and more granular elements while cardiologists requested much more granular data. Comparing cardiologists and LTS, there were differences in the data elements requested. This case study supports the importance of domain knowledge in EHR design and implementation. That different specialities should want and use different information is well supported by cognitive science literature. Despite this, it is rare for domain knowledge to be considered in EHR implementation. Physicians with correct domain knowledge should be involved in the design process of templated notes.

Transfer of high domain knowledge to a similar domain

Researchers have widely examined domain knowledge yet rarely investigate the transfer of knowledge from one domain to another. This study sought to fill in the literature gap concerning the impact of domain knowledge on memory in a similar situation. Specifically, this study examined whether high knowledge of baseball could enhance memory for the similar yet unknown domain of cricket, using a 2 (knowledge) x 2 (prime) design. An interaction occurred, indicating that when primed, baseball knowledge improves memory for cricket events in participants with high baseball knowledge but reduces memory in their low-knowledge counterparts. These results suggest that extensive knowledge in one domain allows it to serve as an organizational framework for incoming information in a similar domain; conversely, priming poorly understood domain knowledge results in negative transfer.

Fast searching for information on the Internet to use in a learning context: The impact of domain knowledge

The purpose of the study was to examine the role of domain knowledge when retrieving and using information from the Internet as a resource for essay tasks, as well as to investigate the quality of Internet searches and its relation to essay performance. In two experiments, 100 undergraduates searched the Internet for 30 min and completed two essays; one in which they had high domain knowledge and one in which domain knowledge was low. Two control groups of 70 undergraduates just wrote the essays. Searching the Internet for information enhanced essay performance relative to the control groups only for the topic for which participants had high domain knowledge. In the second experiment, analyses of Internet searches revealed large individual differences in search behaviors and these behaviors did not relate to essay performance, although individuals highlighted the importance of domain knowledge in making their searches easier. Domain knowledge is one factor that educators should pay attention to when using the Internet for learning tasks, particularly when study time is limited, in order to maximize the ability of students to successfully retrieve and use information from the Internet.