Concept Indexes (original) (raw)
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Proceedings of the international ACM SIGGROUP conference on Supporting group work - GROUP '99, 1999
Marking text in a document is a convenient way of identifying bits of knowledge that are relevant for the reader, a colleague or a larger group. Based on such markings, networks of concepts with hyperlinks to their occurrences in a collection of documents can be developed. On the Internet, marked documents can easily be shared, concepts can be constructed collaboratively and the concept-document network can be used for navigation and direct access. Text marking, grounded concepts and the Lntemet as base technology are characteristics of our tool for managing so called "concept indexes". We describe the current and the new design and outline some application scenarios: electronic help desks, information digests on the Web, teaching design in virtual classes and planning under quality control in distributed teams. Keywords Knowledge management, documents, collaboration, software agents, text marking concepts, MOTIVATION Marking Text in Documents Index Enter synonyms (comma separated) I 1 Enter related phrases (comma separated) J L-J
E13001 Knowledge Modelling Techniques Molia MS Word 97 2003
This paper Knowledge Modelling Techniques for Developing Knowledge Management, Systems Knowledge management is fast becoming a commercial necessity for many organizations, in order that they manage their intellectual assets and gain competitive advantage. To maximise that advantage, knowledge management needs to be available across the whole of the enterprise. Before a knowledge management system can be built, the knowledge that pervades the organization must be identified and modelled. This paper reviews four important modelling techniques that are used to develop knowledge management systems.Knowledge modelling, knowledge management, knowledge management system, knowledge, knowledge engineering.
A holistic framework for knowledge discovery and management
Communications of the ACM, 2009
knowledge management, and knowledge transfer can be attributed to many factors including the advances in information and communication technologies; data explosion and information overload; the expected significant loss in the workforce as the baby boomers retire; and, the need for organizations to better utilize their intellectual capital to stay ahead of the competition. As with the massive amounts of information being added to corporate databases and the Internet everyday, effective and efficient knowledge discovery and its management has become an imminent problem. In spite of addressing a special part of the problem, which has been the case in a vast amount of the recently published research articles on knowledge management, in this paper we propose a holistic framework for knowledge management. This highly integrated framework is composed of a number of interdependent modules designed to perform the activities of the knowledge management cycle including creating, extracting, storing and using/reusing knowledge. By exploiting various existing technologies such as data warehousing, data mining and text mining, along with Web crawling and federated search engines, this integrated system provides the knowledge worker with the most relevant information to make the best possible decision in a timely manner. This article emphasizes the importance of knowledge management, makes the case for an integrated knowledge management framework, displays and discusses a holistic knowledge management framework, elaborates on the required capabilities and functionalities of such a framework, and concludes with the future directions and final recommendations.
Practical techniques for organizing and measuring knowledge
1994
Abstract This research is concerned with the problem of making knowledge acquisition and representation practical for a wide variety of people. The key question investigated is the following: What features are needed in what this research defines as a knowledge management system, so that people who are not computer specialists can use it for tasks that involve manipulating complex ideas?
This work introduces a conceptual framework and its current implementation to support the semantic enrichment of knowledge sources. It improves the ability for indexing and searching of knowledge sources, enabled by a reference ontology and a set of services which implement the searching and indexing capabilities. Essentially, our approach defines an appropriate knowledge representation based on semantic vectors which are created using three different but complementary algorithms for each knowledge source, using respectively the concepts and their equivalent terms, the taxonomical relations, and ontological relations. We introduce the conceptual framework, its technical architecture (and respective implementation) supporting a modular set of semantic services based on individual collaboration in a project-based environment (for Building & Construction sector). The main elements defined by the architecture are an ontology (to encapsulate human knowledge), a set of web services to support the management of the ontology and adequate handling of knowledge providing search/indexing capabilities (through statistical/semantically calculus). This paper also provides some examples detailing the indexation process of knowledge sources, adopting two distinct algorithms: "Lexical Entries-based" and "Taxonomy-based". Results achieved so far and future goals pursued here are also presented.
FROM DOCUMENT MANAGEMENT TO KNOWLEDGE MANAGEMENT
2009
Documents circulating in paper form are increasingly being substituted by its electronic equivalent in the modern office today so that any stored document can be retrieved whenever needed later on. The office worker is already burdened with information overload, so effective and effcient retrieval facilities become an important factor affecting worker productivity.
Knowledge Management: Present Preview
TULSSAA Journal, 2007
Knowledge management is a new concept in Library and Information science. Knowledge is considered as a rich asset these days. The dictionary defines knowledge as the facts, feelings or experiences known by a person or a group of people. Knowledge Management as a new branch of management for achieving breakthrough in business performance through the synergy of people, processes, and technology, its focus is on the management of change, uncertainty, and complexity. K. Navalani said "Knowledge Management caters to the critical issues of organizational adaptation, survival, and competence in face of increasingly discontinuous environmental change.... Essentially, it embodies organizational processes that seek synergistic combination of data and information processing capacity of information technologies, and the creative and innovative capacity of human beings." Information can be considered as a message. It typically has a sender and a receiver. Information is the sort of stuff that can, at least potentially, be saved onto a computer. Data is a type of information that is structured, but has not been interpreted. Knowledge might be described as information that has a use or purpose. Whereas information can be placed onto a computer, knowledge exists in the heads of people. Knowledge is information to which an intent has been attached. In the eighteenth century Dr.Samuel Johnson (1709-84) wrote 'Knowledge is of two kinds. We know a subject ourselves or we know where we can find information upon it'. In the new millennium, however, it is apparent knowledge management is emerging as a dominant force in the overall strategy of organizational management. In July 1999 Tony Blair, the British Prime Minister said, "The knowledge economy is the economy of the future". In knowledge economies, knowledge, expertise and innovation rather than land and machinery are the primary assets of an organization. Such assets must be effectively managed. Knowledge Management caters to the critical issues of organizational adaptation, survival, and competence in face of increasingly discontinuous environmental change. Essentially, it embodies organizational processes that seek synergistic combination of data and information processing capacity of information technologies, and the creative and innovative capacity of human beings. Clearly the goal of knowledge management has sustained individual and business performance through ongoing learning, unlearning, and adaptation. Technologies of computing have inherent limitations. They have difficulty in generating meaningful insights from data as they can't question or re-interpret their programmed logic and assumptions. Given inherent limitations of the technologies of computing, human users of such systems have at least an equally important role in knowledge management. Knowledge management is a part of the continuous business improvement process. It relates to the way an organization works and develops. It recognizes corporate capability and enables skills, knowledge and processes of the organization to be used effectively and creatively to improve business performance. It is more useful to consider
2005
This chapter deals with the part of the library and information science (LIS) curriculum involving knowledge organizational systems and processes, which is an important core of the LIS discipline; arguably-together with information seeking & retrieval (IS&R)-the central core. Knowledge Organization (KO) contributes to make documents accessible for users whether they browse or search. KO is about providing optimal conditions for the identification and retrieval of documents or parts of documents.
Knowledge Organization and Information Retrieval: A Research Agenda
Research in information retrieval is design research; it produces designs and implementation of solutions that are intended to improve information problems and then studies the effectiveness of these solutions. This paper shows many ways in which Knowledge Organization Systems could be used in solutions to improve information seeking, retrieval, and sensemaking and learning, some well-known and others suggested here, and it discusses ways to test such solutions and implications for KOS suggesting many interesting research problems. The paper considers the following component processes of information seeking, retrieval, and sensemaking and learning: 1) Assistance to users in clarifying the information need and formulating a good query for the system being searched; 2) Search and post-search processing. Sensemaking. Includes support for reading. See also #3; 3) Creating structure in whole collection or in search results (also part of sensemaking); 4) Interface design. This is a wide-ranging concept paper focusing on ideas. It is not a paper with empirical results. Resumo: A pesquisa em recuperação da informação é design de pesquisa; ela produz concepções e implantações de soluções que pretendem aprimorar os problemas de informação e a partir daí, estuda a eficácia dessas soluções. Este artigo mostra várias formas nas quais os sistemas de organização do conhecimento (SOCs) poderiam ser usados em soluções para melhorar a busca, recuperação, sensemaking (geração de sentido) e aprendizagem da informação. Alguns são muito conhecidos e outros sugeridos aqui e este trabalho discute formas de testar essas soluções e implicações de SOCs, sugerindo muitos problemas de pesquisa interessantes. Este artigo considera os seguintes componentes dos processos de busca, recuperação, sensemaking e aprendizagem: 1) assistência aos usuários em esclarecer a necessidade da informação e de formular uma boa query para os sistemas que estão sendo buscados; 2) processo de busca e pós-busca. Sensemaking. Inclui suporte para leitura (ver #3); 3) criar estrutura na coleção toda ou nos resultados da busca por (isso também é parte do sensemaking); 4) design de Interface. Este é um artigo conceitualmente amplo, focado em ideias. Este não é um artigo com resultados empíricos.