Evaluating effectiveness of linguistic technologies of knowledge identification in text collections

The possibility of using integral coefficients of recall and precision to evaluate effectiveness of linguistic technologies of knowledge identification in texts is analyzed in the paper. An approach is based on the method of test collections, which is used for experimental validation of received effectiveness coefficients, and on methods of mathematical statistics. The problem of maximizing the reliability of sample results in their propagation on the general population of the tested text collection is studied. The method for determining the confidence interval for the attribute proportion, which is based on Wilson’s formula, and the method for determining the required size of the relevant sample under specified relative error and confidence probability, are considered

Evaluating effectiveness of linguistic technologies of knowledge identification in text collections

The possibility of using integral coefficients of recall and precision to evaluate effectiveness of linguistic technologies of knowledge identification in texts is analyzed in the paper. An approach is based on the method of test collections, which is used for experimental validation of received effectiveness coefficients, and on methods of mathematical statistics. The problem of maximizing the reliability of sample results in their propagation on the general population of the tested text collection is studied. The method for determining the confidence interval for the attribute proportion, which is based on Wilson’s formula, and the method for determining the required size of the relevant sample under specified relative error and confidence probability, are considered

Developing a Theory of Knowledge Identification Effectiveness in Knowledge Management

This paper reports on research conducted to explore the problems that organisations have with respect to a key first step in effective Knowledge Management: Knowledge Identification. The paper reports on the results from an exploratory, interpretive investigation on the problems organisations have with respect to identifying what knowledge exists within their boundaries. The research conducted 17 interviews of Knowledge Management practitioners, the data from which were analysed using domain analysis and cognitive mapping. The research identified 25 lower-level problems with Knowledge Identification and 4 higher-level factors that potentially explain Knowledge Identification Effectiveness: Knowledge Needs Identification, Knowledge Recording, KI Methods Effectiveness and KI Operationalisation. The paper explains the four factors and formulates them into a nascent (untested) theory that explains Knowledge Identification Effectiveness, which is further hypothesised to influence Knowledge Management Effectiveness

Zero Knowledge Identification and Verification of Voting Systems

Current methods of voter identification, especially in India, are highly primitive and error-prone, depending on verification by (mostly) sight, by highly trusted election officials. This paper attempts to provide a trustless and zero-knowledge method of voter identification, while simultaneously reducing error. It also proposes a method for vote verification, that is, ensuring that the vote cast by a legal voter is registered as cast and tallied as registered. While numerous methods of zero-knowledge identification are available in the literature, very few of those are implementable on a large scale and subject to the type of constraints that are present, eg., in India. This paper attempts to provide a solution which, while preserving the integrity of the available methods, will also be more scalable and cost-effective.Comment: 11 pages, 4 figures, 1 tabl

How organisations know what they know : a survey of knowledge identification methods among Australian organisations

Literature surrounding the Knowledge Management process of identifying what knowledge exists within an organisation is scarce. This research project set out to fill the research gaps surrounding that particular Knowledge Management process called Knowledge Identification. This paper reports on the findings of a survey sent to 973 Australian organisations to investigate their Knowledge Identification practices. The survey findings show that while organisations do perceive Knowledge Identification to be important, the practice of KI has not reached mainstream adoption yet. The reasons why and why not, and the range of methods organisations currently use to establish what knowledge exists within their four walls are identified. The survey findings also reveal two opposing approaches organisations take in practising KI: proactive KI and reactive KI.<br /

Taxonomies for Development

{Excerpt} Organizations spend millions of dollars on management systems without commensurate investments in the categorization needed to organize the information they rest on. Taxonomy work is strategic work: it enables efficient and interoperable retrieval and sharing of data, information, and knowledge by building needs and natural workflows in intuitive structures. Bible readers think that taxonomy is the world’s oldest profession. Whatever the case, the word is now synonymous with any hierarchical system of classification that orders domains of inquiry into groups and signifies natural relationships among these. (A taxonomic scheme is often depicted as a “tree” and individual taxonomic units as “branches” in the tree.) Almost anything can be classified according to some taxonomic scheme. Resulting catalogs provide conceptual frameworks for miscellaneous purposes including knowledge identification, creation, storage, sharing, and use, including related decision making

Increasing the knowledge, identification and treatment of osteoporosis through education and shared decision-making with residents living in a retirement village community

Objective: This pilot study explored whether individual goal setting in a retirement village setting could improve strategies to strengthen bones in an ageing population and help prevent osteoporosis. Methods: A two-phased osteoporosis prevention program was developed, piloted and evaluated involving a group education session followed by the development of individualised Bone Plans based upon personal understanding of individual fracture risk and lifestyle factors. Results: A significant improvement in knowledge and understanding of factors to prevent and manage osteoporosis was achieved, and changes in lifestyle behaviours were sustained at six months. Conclusion: Success was due to education by specialist medical and health personnel, flexibility of goal setting, use of group sessions and location of the program within the retirement community setting. The ‘Mind Your Bones’ program is a feasible and acceptable way to translate preventative bone health messages to a large number of people via the retirement village network

Knowledge Identification for Personnel Allocation to Research Projects: A Proposal Methodology

Today, knowledge has been acknowledged as an important source of competitive advantage and value creation for organizations. The leveraging of individual knowledge in an organization is important to improve its competitiveness and internal processes. The proposal presented in this work is oriented to organizations that develop research projects and need employees with the skills and competencies necessary for their development. This is difficult because the people in charge of personnel allocation to research projects do not always have the sufficient knowledge for doing an efficient allocation. The objective of this article is proposing a methodology that allows the identification of key knowledge of the employees that can be available for the people in charge of personnel allocation to research projects. A first conceptual approach, based on literature review and the comparison with other similar works, allows proposing a methodology focused in five key phases. This proposal will allow the organizations to identify, capture and disseminate key employees’ knowledge to make it available when it is needed. Keywords: Knowledge Management, Knowledge Identification, Key Knowledge, Human Resource Management, Personnel Allocatio