knowledge management methods reflect ways to undertake knowledge management objectives and actions taken for implementation. However, little has been written on the topic. The paper summarizes main topics of knowledge...
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Protecting personal privacy and its right are a respect for the human rights, the necessary condition for healthy development of a democratic society and the important criteria of maintaining the basic dignity to be h...
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The credit card industry has been growing rapidly in recent years, and credit risk assessment becomes critically important for financial companies. In this paper, a novel support vector machine (SVM) based ensemble mo...
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knowledge resource is becoming the most important in an organization, Its exploring degree has direct influence on the core competitive power of the organization. System is also an integral part, the basis and protect...
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Internetware can be formed through aggregation of Internetware entities bottom-up to satisfy the user's requirements. In the process, capability description of Internetware entity plays an important role. This pap...
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Internetware can be formed through aggregation of Internetware entities bottom-up to satisfy the user's requirements. In the process, capability description of Internetware entity plays an important role. This paper proposes a capability description of Internetware entity based on environment ontology. The environment ontology includes environment entities and possible interactions with the environment entities in a particular domain. Tree-like hierarchical state machines are also included in the ontology to describe domain life-cycle of the environment entities. On the basis of the ideas, the capability of Internetware entity is embodied by interacting with environment entities and the changes of the environment entities during the interactions. Finally, this paper describes the matchmaking between capability descriptions of Internetware entities to support the discovery of Internetware entity. An example of online education course is given to illustrate the ideas.
Developing an integration management system for business continuity, records and knowledge (IMS of BRK) is beneficial to the collaboration, optimization and innovation of business continuity management system (BCMS), ...
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The requirements of OLAP applications increase rapidly by dramatically increased data volume, users, query volume and query complexity. The requirement for shortening update period in data warehouse is another crucial...
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Many of management systems for business continuity, records and knowledge (BRK) are standalone. Connections and networks of business continuity management systems (BCMS), records management systems (RMS) and knowledge...
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ISBN:
(纸本)9788988678251
Many of management systems for business continuity, records and knowledge (BRK) are standalone. Connections and networks of business continuity management systems (BCMS), records management systems (RMS) and knowledge management systems (KMS) are expected to study for facing challenges from evidence-based collaborations in a networked working environment, in terms of control of documented information for business efficiency;guarantee of evidentiality and quality of documented information for organizational effectiveness;and sharing, protecting and increasing values of records as business and knowledge assets for knowledge economy. Based on review of ideas of integration management thinking, best practice frameworks of business continuity management, records management and knowledge management, management models of BCMS, RMS and KMS, an architecture framework towards comprehensive integration management of BRK is proposed by vertical integration design and crosswise integration operations. Case studies demonstrate that such architecture framework has implications to enhance controls of efficiency, effectiveness, and economy of organizational resources and assets adaptable to complex global competition;to improve quality assurance of documented information for supporting evidence-based governance adaptable to dynamic changing of information and communication technologies;to consistent accumulation, sharing and exchanging evidence, memory and knowledge along e-business processes to promote collaboration, optimization and innovation of BCMS, RMS and KMS.
This paper proposes a new method to cluster law texts based on referential relation of laws. We extract law entities (an entity represents a law) and their referential relation from law texts. Then SimRank algorithm i...
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This paper proposes a new method to cluster law texts based on referential relation of laws. We extract law entities (an entity represents a law) and their referential relation from law texts. Then SimRank algorithm is applied to calculate law entity's similarity through referential relation and law clustering is carried out based on the SimRank similarity. This is the first time to apply SimRank algorithm in the domain of Law and use it to carry out text clustering. Prototype and experiments show that our solution is feasible. We also publish the extracted data as Linked Law data with RDF data model, which forms the first open semantic web database in Law domain. Linked Law data enables user to access law data with rich data links and query web data by application interface of Semantic Web.
In this paper, we analyse the data access characteristics of a typical XML information retrieval system and propose a new query aware buffer replacement algorithm based on prediction of Minimum Reuse Distance (MRD for...
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In this paper, we analyse the data access characteristics of a typical XML information retrieval system and propose a new query aware buffer replacement algorithm based on prediction of Minimum Reuse Distance (MRD for short). The algorithm predicts an object's next reference distance according to the retrieval system's running status and replaces the objects that have maximum reuse distances. The factors considered in the replacement algorithm include the access frequency, creation cost, and size of objects, as well as the queries being executed. By taking into account the queries currently running or queuing in the system, MRD algorithm can predict more accurately the reuse distances of index data objects.
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