Abecker, A., Bernardi, A., Hinkelmann, K., Kuhn, O. & Sintek, M. (1998), "Toward a technology for organizational memories", IEEE Intelligent Systems 13(3), 40--48. Home/Search Document Details and Download
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Work with Knowledge for Support of e-Government - Jan Paralic Tomas (Correct)
....is a customized assistance help that meets the individual situation and competence [11] One way how to achieve progress in this direction is to focus on the way how knowledge is handled. Knowledge management [10] generally deals with several activities relevant in knowledge life cycle [1]: identification, acquisition, development, dissemination (sharing) use and preservation of organization s knowledge. Our approach to knowledge management in the e Government context supports most of the activities mentioned above. Based on this approach, a Web based system Webocrat [7] has been ....
Abecker A., Bernardi A. Hinkelmann K. Khn, O. & Sintek M. (1998): Toward a Technology for Organizational Memories, IEEE Intelligent Systems, 13, May/June, p.40-48.
Initiating Organizational Memories using Ontology.. - Kalfoglou, Alani.. (2002) (Correct)
....organizational memory. 1 Introduction Organizational memories (hereafter, OMs) have been studied as means for providing easy access and retrieval of relevant information to users. There are several technologies which support the implementation and deployment of OMs (some of them identified in [1]) however, there is relatively little support for the initial set up of an OM. When implementing and deploying an OM, it is difficult to identify the right information to include. This task is, normally, a knowledge engineer s job, to identify relevant information and populate the OM accordingly. ....
....information and populate the OM accordingly. This process though, is time consuming, manual and error prone given the diversity and quantity of resources to be analyzed for relevance. Semi automatic methods and techniques exist, but these are bound to individual technologies, as for example in [1] where the authors state that: the knowledge engineer [then] integrates the information obtained from the thesaurus generator into the OM semi automatically, scanning the similarity thesaurus and deciding which relations should be formalized and added to the knowledge base or ontology, which ....
[Article contains additional citation context not shown here]
A. Abecker, A. Bernardi, K. Hinkelmann, O. Kuhn, and M. Sintek, `Toward a Technology for Organizational Memories', IEEE Intelligent Systems, 13(3), 40--48, (June 1998).
Knowledge Processes and Ontologies - Schnurr, Studer, Sure (2001) (6 citations) (Correct)
....that are inherent in ontology based KM approaches support Alun Preece s saying Every KM project needs a knowledge engineer . 2 Knowledge Items in Knowledge Processes and Meta Processes The core concern of IT supported knowledge management is the computer assisted capitalization of knowledge [1]. Because information technology may only deal with digital, preferably highlystructured, knowledge the typical KM approach distinguishes between computer based encoding in an organizational memory and direct transfer that is done by humans. Sticking to what is almost readily available, KM systems ....
....Processes in the center of consideration. The reader may note that we contrast two rather extreme positions in Table 1. As becomes obvious in recent research papers, current knowledge management research tends to move away from the document focus to a focus on knowledge items and processes [1, 10]. While for a multitude of settings we still see the necessity for the document oriented view, we argue for a more constructivist view of the Knowledge Processes. In particular, we believe that the exuberant exchange and trading of knowledge within and across organizations still has to begin ....
[Article contains additional citation context not shown here]
A. Abecker, A. Bernardi, K. Hinkelmann, O. Kuhn, and M. Sintek. Toward a technology for organizational memories. IEEE Intelligent Systems, pages 40--48, May / June 1998.
Workflow Context as a Means for Intelligent Information Support - Maus (2001) (3 citations) (Correct)
....access methods, and contents. To enable precise content retrieval from heterogeneous sources, a representation scheme for uniform knowledge descriptions is needed. To this end, structure and metadata, information content, and information context are modelled on the basis of formal ontologies [2]. KnowMore uses three types of ontologies, namely domain ontology: contains the concepts used to model the contents of information sources. enterprise ontology: comprises the concepts used in WfMS; it is based upon the ADONIS meta model [9] and close to the notions of the WfMC [23] ....
A. Abecker, A. Bernardi, K. Hinkelmann, O. Kuhn, and M. Sintek. Toward a Technology for Organizational Memories. IEEE Intelligent Systems, June 1998.
Towards Agent-Mediated Knowledge Management - van Elst, Dignum, Abecker Self-citation (Abecker) (Correct)
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A. Abecker, A. Bernardi, K. Hinkelmann, O. K uhn, and M. Sintek. Toward a technology for organizational memories. IEEE Intelligent Systems, 13(3):40--48, 1998.
Towards Agent-Mediated Knowledge Management - Virginia Dignum And Self-citation (Abecker) (Correct)
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A. Abecker, A. Bernardi, K. Hinkelmann, O. K uhn, and M. Sintek. Toward a technology for organizational memories. IEEE Intelligent Systems, 13(3):40--48, 1998.
Workflow-Embedded Organizational Memory Access: The.. - Abecker, Bernardi.. Self-citation (Abecker Bernardi) (Correct)
....oriented knowledge management (BPOKM) and sketch some basic approaches to achieve this goal. Then we describe the DECOR (Delivery of contextsensitive organisational knowledge) project which develops, tests, and consolidates methods and tools for BPOKM. DECOR builds upon the KnowMore framework [1,2] for organizational memories (OM) but tries to overcome some limitations of this approach. In the DECOR project, three end user environments serve as testbeds for validation and iterative improvement of innovative approaches to build: knowledge archives organised around formal representations ....
Abecker, A., A. Bernardi, K. Hinkelmann, O. Khn, and M. Sintek (1998), Towards a Technology for Organizational Memories. IEEE Intelligent Systems, 13(3), May/June.
Using Information Extraction Rules for Extending.. - Sintek, Junker, van.. (2001) (1 citation) Self-citation (Abecker Sintek) (Correct)
.... systems cannot be achieved) Hence, a main goal of the FRODO project is to develop a scalable, extensible OM middleware built for easy integration of new components and linking of collaborating components [2] FRODO builds upon the KnowMore framework for contextually aware, ontology based OMs [3,4], but relaxes some constraints of the original model, especially the idea of a centralized OM using one overall set of organizational ontologies. Besides the technical provisions for such a distributed, highly dynamic environment, we lay special emphasis on considerations and methods which are ....
....with other system parts, and representing knowledge about a continuously changing world [10] These two assumptions lead to two characteristics of our approach: Learning ontological information from text documents should be a main component of the overall scenario. We set the goal already in [3]. In the meanwhile we sketched a method for business process oriented knowledge modeling in the company, realized as an amalgamation of the CommonKADS [6] and the IDEF5 [7] suites of methods [2] We build upon the Prot eg e 2000 knowledge acquisition and modeling tool [8] which we extended already ....
Abecker, A., Bernardi, A., Hinkelmann, K., K uhn, O., and Sintek, M. (1998). Towards a Technology for Organizational Memories. IEEE Intelligent Systems, 13(3), May/June.
Using Information Extraction Rules for Extending Domain.. - Position Statement For Self-citation (Abecker Sintek) (Correct)
.... systems cannot be achieved) Hence, a main goal of the FRODO project is to develop a scalable, extensible OM middleware built for easy integration of new components and linking of collaborating components [2] FRODO builds upon the KnowMore framework for contextually aware, ontology based OMs [3,4], but relaxes some constraints of the original model, especially the idea of a centralized OM using one overall set of organizational ontologies. Besides the technical provisions for such a distributed, highly dynamic environment, we lay special emphasis on considerations and methods which are ....
....with other system parts, and representing knowledge about a continuously changing world [10] These two assumptions lead to two characteristics of our approach: # Learning ontological information from text documents should be a main component of the overall scenario. We set the goal already in [3]. In the meanwhile we sketched a method for business process oriented knowledge modeling in the company, realized as an amalgamation of the CommonKADS [6] and the IDEF5 [7] suites of methods [2] We build upon the Protege 2000 knowledge acquisition and modeling tool [8] which we extended already ....
Abecker, A., Bernardi, A., Hinkelmann, K., Kuhn, O., and Sintek, M. (1998). Towards a Technology for Organizational Memories. IEEE Intelligent Systems, 13(3), May/June.
Ontology-Related Services in Agent-Based Distributed Information .. - van Elst (2001) Self-citation (Abecker) (Correct)
....information needs as well as information resources. Technical support for Organizational Memories is often based on centralized approaches which seem well suited to guarantee that the complete information available is considered [5] For instance, in the KnowMore framework (see Figure 1, [1]) the problem of several heterogenous information sources is tackled by the introduction of a uniform knowledge description level: The various information items are annotated by knowledge descriptions which are based on an agreed upon vocabulary, namely the information, enterprise, and domain ....
....information processing and retrieval process content description, e.g.keywords, classification meta information, e.g. author, role, structural description application layer knowledge access knowledge description source layer Figure 1. The KnowMore OM framework [1] change due to reorganizations of an enterprise s structure. Furthermore, OM system are typically not established at once for a whole company, but introduced step by step (in terms of time and space) in various places (e.g. departments) To allow for a comprehensive management of knowledge, ....
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A. Abecker, A. Bernardi, K. Hinkelmann, O. Kuhn, and M. Sintek. Toward a technology for organizational memories. IEEE Intelligent Systems, May/June 1998.
Domain Ontology Agents in Distributed Organizational Memories - van Elst, Abecker (2001) (6 citations) Self-citation (Abecker) (Correct)
....particular. Technical support for such a vision is often based on centralized approaches which seem well suited to guarantee that the complete information available is considered [Bonifacio et al. 2000] For instance, in OM reference architecture (Figure 1) derived from the KnowMore framework [Abecker et al. 1998] , the problem of several heterogeneous information sources is tackled by the introduction of a uniform knowledge description level: The various information items are annotated by knowledge descriptions which are based on an agreed upon vocabulary, namely the information, enterprise, and domain ....
....of magnitude longer than the creation duration. However, the stability of a domain to be formalized is prevalently an externally determined factor. Therefore formalization degree must be chosen carefully, according to the expected stability. In the information delivery architecture described in [Abecker et al. 1998] , for instance, three ontologies are used for information modeling, namely: i) the information ontology, a meta model for structural description of information items (formats, types etc. ii) the enterprise ontology to specify creation and intended application context, and (iii) the domain ....
A. Abecker, A. Bernardi, K. Hinkelmann, O. Kuhn, and M. Sintek. Toward a technology for organizational memories. IEEE Intelligent Systems, May/June 1998.
Group Memory Based on the Task Information - James (Correct)
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Abecker, A., Bernardi, A., Hinkelmann, K., Kuhn, O. & Sintek, M. (1998), "Toward a technology for organizational memories", IEEE Intelligent Systems 13(3), 40--48.
Agile Development of Diagnostic Knowledge Systems - Baumeister (2004) (Correct)
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Andreas Abecker, Ansgar Bernardi, Knut Hinkelmann, Otto Kuhn, and Michael Sintek. Toward a Technology for Organizational Memories. IEEE Intelligent Systems, 13(3):40--48, 1998.
Ontology-based Information Retrieval - Jan (Correct)
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Abecker A., Bernardi A. Hinkelmann K. Khn, O. & Sintek M. (1998): Toward a Technology for Organizational Memories, IEEE Intelligent Systems, 13, May/June, p.40-48.
Developing an Intranet-based Knowledge Management.. - Sarkar, Bandyopadhyay (2002) (Correct)
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Andreas Abecker, Ansgar Bernardi, Knut Hinkelmann,Otto Kuhn, and Michael Sintek, "Towards a Technology for Organizational Memories", IEEE Intelligent Systems, May-June, 1998, pp. 40-48.
Deploying Ontologies in Software Design - Kalfoglou (2000) (Correct)
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A. Abecker, A. Bernardi, K. Hinkelmann, O. Kuhn, and M. Sintek. Toward a Technology for Organizational Memories. IEEE Intelligent Systems, 13(3):40--48, June 1998.
Advanced Information Search - Multinational (Correct)
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Abecker, A., Bernardi, A., Hinkelmann, K., K uhn, O., and Sintek, M. (1998). Towards a technology for organizational memories. IEEE Intelligent Systems, pages 40--48.
Knowledge Enhanced e-Government Portal - Jan Paralic Tomassabol (Correct)
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Abecker A., Bernardi A. Hinkelmann K. Khn, O. & Sintek M.: Toward a Technology for Organizational Memories, IEEE Intelligent Systems, 13 (1998) 40-48
Corporate Information Network (CoIN): Experience.. - Decker, Althoff.. (2001) (Correct)
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Abecker, A..; Bernadi, A.; Hinkelmann, K..; Khn, O.; Sintek, M.: Towards a Technology for Organizational Memories, IEEE Intelligent Systems 1998.
Corporate Information Network (COIN): The.. - Jedlitschka.. (2001) (Correct)
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Abecker, A..; Bernadi, A.; Hinkelmann, K..; Khn, O.; Sintek, M.: Towards a Technology for Organizational Memories, IEEE Intelligent Systems 1998.
On-To-Knowledge Methodology (OTKM) - Sure, Staab, Studer (2003) (Correct)
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A. Abecker, A. Bernardi, K. Hinkelmann, O. Kuehn, and M. Sintek. Toward a technology for organizational memories. IEEE Intelligent Systems, 13(3):40-48, 1998.
Initiating Organizational Memories using.. - Alani, Kalfoglou.. (2002) (Correct)
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Abecker A., Bernardi, A., Hinkelmann, K., Kuhn, O., and Sintek, M. Toward a Technology for Organizational Memories, IEEE Intelligent Systems, 13(3), 4048, June 1998.
Support of Knowledge Management in Distributed Environment - Paralic, Paralic, Mach (2001) (Correct)
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Abecker A., Bernardi A. Hinkelmann K. Ktihn, O. & Sintek M. (1998): Toward a Technology for Organizational Memories, 1EEE Intelligent Systems, 13, May/June, p.40-48
Integrating Business Process Descriptions and Lessons.. - Decker, Althoff.. (2001) (Correct)
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Abecker, A..; Bernadi, A.; Hinkelmann, K..; Khn, O.; Sintek, M.: Towards a Technology for Organizational Memories, IEEE Intelligent Systems 1998.
Knowledge Processes and Ontologies - Staab, Studer, Schnurr (2001) (6 citations) (Correct)
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A. Abecker et al., "Toward a Technology for Organizational Memories," IEEE Intelligent Systems, vol. 13, no. 3, May/June 1998, pp. 40--48.
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