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The main goal of knowledge management is to improve the management of information and knowledge within and across enterprises. Enterprise knowledge is embedded in enterprise's data managed in a wide range of information systems (e.g., product data management, enterprise resource planning systems). These enterprise data can correspond to textual, nu...
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Context 1
... architectural overview of integrated CBES is illustrated in Fig. 2. The architecture is composed of four components: (i) data aggregation interfaces for indexing data sources and file types available in an enterprise, (ii) index database for textual and numerical attributes from the IT- systems and extract descriptors from multimedia data, (iii) ES engine to support integrated CBES, and (iv) GUI to ...
Context 2
... data aggregation component provides functionalities to index and map enterprise data from different IT-systems, as depicted in Fig. 2. This component consists of two sub- components: (i) mapping and indexing of attributes from different IT-systems like ERP-, PDM-or CRM-systems to the columns of the predefined index database, and (ii) services for deriving content-based descriptors for multimedia data (e.g., images, 3D CAD ...
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In the era of the 4.0 industrial revolution, companies are trying to implement information technology to increase competitive competitiveness. Information technology is implemented within the company to increase productivity and help achieve quality, time standards, and satisfaction for consumers and employees, wherein business this is manifested i...
Citations
... Innovation, then, is considered an intangible resource that is very difficult to imitate. However, the main goal of KM in many organizations seems to be focused on improving the management of information and knowledge within and across enterprises [3]. KM in most organization is centered on maintaining continuity and consistency of capturing the knowledge, and publishing it appropriately to be easily and quickly used by those who require it including staff, customers and other stakeholders. ...
Knowledge Management (KM) is a dynamic system to identify important information, collect it from those who possess it, store it, and finally, share it with those required including employees, customers and other stakeholders. Today, a good KM system consolidates a company's internal expertise with external information by generating and collecting as much as useful information in order to improve processes, customer relations, decision making, employee morale, performance and most importantly revenue and profit. This paper explores the framework of KM by identifying two core phases, i.e., knowledge creation and knowledge usage and then maps each respectively to creativity and innovation. Invention and innovation are extremely dependent on the availability and richness of knowledge; however, the major challenge in many organizations is that KM is focused on maintaining continuity and consistency of capturing that knowledge and publishing it appropriately in order to be used by those who need it. This structure alone treats ineffectively with the creativity and invention process and leave not much spaces for innovation to be stimulated. Meanwhile, there is no solid measurement tool to assess performance and productivity of KM systems. In order to address these challenges, this paper integrates the four traditional steps of KM including Capturing, Storing, Disseminating and Implementing by Planning, Leading and Adapting (PLA) aspect to form a two dimensional model for directing and leading the whole KM process. The new model can potentially foster creativity in the first two steps of capturing and storing and then stimulate innovation in the second two steps of disseminating and implementing. Finally, the paper studies Apple Inc., as one of the most innovative companies in order to illustrate the possible application of this novel model.
... To fulfill the aforesaid requirements, a framework for an integrated enterprise search is envisaged, depicted in Fig. 1 [23]. Along the PLC, several IT-systems (e.g., PDM system, ERP system) are used in different process contexts (e.g., calculation, engineering) to manipulate product and process data. ...
... An overview of content-based enterprise search framework (adapted from[23]) ...
An enterprise employs various search systems in isolation to retrieve knowledge from its data sources. Usually, these search
systems fulfill specific requirements of a department. Overall, the search systems are not efficient and do not consider a
holistic view of an enterprise. To overcome the aforesaid issues, an integrated content-based enterprise search framework
is envisaged. The framework employs various indexing and retrieval methods for content-based retrieval of enterprise entities
like 3D models and 2D drawings. Further, to conveniently access enterprise databases and increase search effectiveness, several
interaction techniques are identified as follows: (i) interaction using (alpha-) numeric properties, (ii) interaction utilizing
sketches, (iii) interaction employing 3D shapes, and (iv) interaction with cluster browsing. Depending on process context
and domain experts’ requirements, diverse interaction techniques can be combined to identify the required knowledge from enterprises’
data sources. Finally, case studies are presented to validate the envisaged framework.
Keywordscontent-based enterprise search–interaction techniques–multimedia objects–3D model retrieval–image-based retrieval
