Abstract
An organized knowledge structure or knowledge base plays a vital role in retaining knowledge where data are processed and organized so that machines can understand. Instructive text (iText) consists of a set of instructions to accomplish a task or operation. Hence, iText includes a group of texts having a title or name of the task or operation and step-by-step instructions on how to accomplish the task. In the case of iText, storing only entities and their relationships with other entities does not always provide a solution for capturing knowledge from iTexts as it consists of parameters and attributes of different entities and their action based on different operations or procedures and the values differ for every individual operation or procedure for the same entity. There is a research gap in iTexts that created limitations to learn about different operations, capture human experience and dynamically update knowledge for every individual operation or instruction. This research presents a knowledge base for capturing and retaining knowledge from iTexts existing in operational documents. From each iTexts, small pieces of knowledge are extracted and represented as nodes linked to one another in the form of a knowledge network called the human experience semantic network (HESN). HESN is the crucial component of our proposed knowledge base. The knowledge base also consists of domain knowledge having different classified terms and key phrases of the specific domain.
Highlights
Instructive texts are different, in terms of structure and textual pattern than standard texts. iTexts usually instruct or describe how to do something in a step-by-step process
This paper presents a knowledge base consisting of human experience semantic network (HESN), which structures knowledge by capturing the human experience from iTexts using grammar, semantic meaning, and domain knowledge consisting of classes and properties of information related to that specific domain
HESN represents the knowledge network that shows the association or relation of a term or key phrase with other terms or key phrases based on different operations
Summary
Instructive texts (iTexts) are different, in terms of structure and textual pattern than standard texts. iTexts usually instruct or describe how to do something in a step-by-step process. If information and human experience from these large number of documents could be extracted, structured and retained in a knowledge base from where desired information could be retrieved at any time, the operational time could be saved and utilized in a much better way This could reduce the expenses for the training and learning purpose. Without proper structuring of knowledge, information retrieval will be an expensive approach This knowledge can be structured in the form of a network, being able to retain the human expertise from these documents in an organized way by developing relationship among the entities, their action, attributes and different values and parameters from each of the iTexts and procedures, which could have information about human role, tool, equipment, location, document, operation, procedure, etc., associated with that particular operation.
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