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Table 2 Identifying and capturing early aspects Life-cycle phases Early-aspects activities

in focus aspect-oriented programming Discovering Early Aspects
by An Integrated

Table 2. Decision Support Consultation Based on Diagnostic Quality Scores*

in unknown title
by unknown authors

Table 3: Geographical Area Where the Enterprise is Located.

in for the Austrian Society of Applied Research in Tourism (ASART), and Technical Advisor of the Federation of European Cities ’ Tourist Offices (FECTO). His main research activities are
by Karl W. Wöber
"... In PAGE 19: ... This study proposes six criteria (S) in the weighting approach to establish homogeneity while preserving sample size. The stratification is done on the basis of the type of serv- ices offered by the establishments S1 (Table 2), the number of days of operation S2, the geographical area where the enterprise is located S3 ( Table3 ), the ownership S4 (Table 4), the size S5 (measured by turnover and number of employees) and the category S6 (Table 5). [Insert Table 2-5 about here] Selection of the comparability values is a crucial decision because it has a significant influence on the performance of the decision support system.... ..."

Table 1. Some Knowledge Modeling Techniques. All the knowledge modeling techniques presented in Table 1 have different advantages depending on what knowledge is of interest to capture. Design Rationale, for example, captures decisions made during design so as to not lose the knowledge behind how and why certain decisions were made. A number of definitions on KBE system exist, see Table 2. Still, there are always parts in the process that the commercial KBE systems lack the ability to handle. This is where a new approach called Knowledge Enabled Engineering can be used, by incorporating KBE and other knowledge rich strategies [26]. This method will be based on existing theories and incorporate company engineering methods and systems.

in Preface
by Patrik Boart, Patrik Boart, Patrik Boart, Patrik Boart 2005
"... In PAGE 17: ....2.2 Capturing life cycle intent A wish to allow modification and iteration until all product life-cycle specifications are fully satisfied has been addressed in the area of capturing life cycle intent, Figure 1. Numerous efforts have been done to support different disciplines where many knowledge-modelling techniques have been developed, Table1 . The main idea has been to show how these methods can reduce the lead-time of the product development process and increase the quality of the processes.... In PAGE 17: ... [21], 2004 Agents and case based reasoning (CBR) Induction motors Product Support Diagnostics Yang et al. [22], 2004 Table1 . Knowledge Modelling Techniques.... In PAGE 18: ... Support is needed to help participating teams cooperate and achieve a balanced view before design decisions. With the help of modelling techniques presented in Table1 , different support system are developed to assist engineers perform their tasks. A number of Knowledge Based System (KBS) definitions exist; see Table 2.... In PAGE 23: ...as the knowledge exists in a number of disciplines from business to maintenance activities. A number of modelling techniques, Table1 , have been used to capture, support or automate different engineering activities. No technique will capture all aspects within the engineering domain.... In PAGE 40: ... Definitions on Knowledge Based Systems. 4 Knowledge Enabled Engineering Approach Methods exist to capture and model knowledge, all with their advantages and disadvantages as seen in Table1 . Regardless what system/method is chosen, none will be the best in solving all problems.... In PAGE 60: ...3 Knowledge formalization The acquired knowledge was formalized through a company format used for building object oriented product models. Table1 shows an example from the formalized knowledge corresponding to the acquired knowledge in section 3.2.... In PAGE 60: ...3.1 Table1 . Excerpt from the formalized knowledge.... ..."

Table: Selected aspects of KM support for value-creation strategies

in Shareholder Value through Knowledge Management - How IT-based knowledge management generates the conditions for creating and retaining value
by Martin Stadelmann, Dr. Martin Stadelmann

Table 2. List of selected decisions, along with their alternatives, quality attributes, and stakeholders Design Decision Alternatives Quality Attributes Stakeholders

in A quality-driven systematic approach for architecting distributed software applications
by Tariq Al-naeem, Ian Gorton, Muhammed Ali Babar, Fethi Rabhi, Boualem Benatallah 2005
"... In PAGE 12: ... For example, the Heterogeneity decision is inferior to Architecture decision. A list of the selected design decisions is shown in Table2 , along with the corresponding alternatives that were considered, relevant quality attributes, and the stakeholders participating in the decision-making process. Highlighted alternatives represent the real selections made.... ..."
Cited by 5

Table 19 contains frequent two-itemsets of the geographical groups.

in Web usage mining. Structuring semantically enriched clickstream data
by Peter I. Hofgesang, Dr. Wojtek Kowalczyk 2004
Cited by 2

Table 1. ADL Support for Aspect-Oriented Architectural Elements

in Reflections on architectural connection: Seven issues on aspects and ADLs
by Thaís Batista, Christina Flach, Chavez Alessandro Garcia, Uirá Kulesza, Awais Rashid Fern, O Castor Filho 2006
"... In PAGE 4: ... Prisma covers components, connectors, and systems (complex components that correspond to configurations), and crosscutting concerns can affect components and connectors. Table1 , in the end of the paper, summarizes these decisions. 3.... ..."
Cited by 4

Table 4. Uses, targeted end-users and current status of major decision support tools used in Agroforestry.

in © 2004 Kluwer Academic Publishers. Printed in the Netherlands. Computer-based tools for decision support in agroforestry: Current state and future needs
by E. A. Ellis, G. Bentrup, M. M. Schoeneberger
"... In PAGE 10: ... Table4 . Continued Decision support tool Intended use Targeted end- users Current status and availability BEAM (Bio-economic Agroforestry Model) Bio-economic assessment of agroforestry systems used for research and develop- ment projects Researchers Available through University of Wales, Bangor, UK http://www.... In PAGE 12: ... (2002), using a modified version of BEAM to assess the impact of Indonesian rubber production under uncertainties of prices and climate, concluded that as a risk aversion strategy, it was bet- ter to use lower planting densities, undertake longer rotations and start tapping later in the life of the trees. Many of the models presented above, and as noted in Table4 , are complex, predominantly used by re- searchers, and not very friendly to the layperson. Al- though some have been applied outside research (for example, BEAM and SCUAF), there is little evidence of use by decision makers, planners, extension agents and landowners.... ..."

Table 1, different support system are developed to assist engineers perform their tasks. A number of Knowledge Based System (KBS) definitions exist; see Table 2. Support system for pre-processing of a car body design [14], performance and manufacturing analysis of a wing [12] was developed with a KBE modelling technique.

in Preface
by Patrik Boart, Patrik Boart, Patrik Boart, Patrik Boart 2005
"... In PAGE 17: ....2.2 Capturing life cycle intent A wish to allow modification and iteration until all product life-cycle specifications are fully satisfied has been addressed in the area of capturing life cycle intent, Figure 1. Numerous efforts have been done to support different disciplines where many knowledge-modelling techniques have been developed, Table1 . The main idea has been to show how these methods can reduce the lead-time of the product development process and increase the quality of the processes.... In PAGE 17: ... [21], 2004 Agents and case based reasoning (CBR) Induction motors Product Support Diagnostics Yang et al. [22], 2004 Table1 . Knowledge Modelling Techniques.... In PAGE 23: ...as the knowledge exists in a number of disciplines from business to maintenance activities. A number of modelling techniques, Table1 , have been used to capture, support or automate different engineering activities. No technique will capture all aspects within the engineering domain.... In PAGE 39: ... [19], 2004 Agents and case based reasoning (CBR) Induction motors Product Support Diagnostics Yang et al. [20], 2004 Table1 . Some Knowledge Modeling Techniques.... In PAGE 39: ... Some Knowledge Modeling Techniques. All the knowledge modeling techniques presented in Table1 have different advantages depending on what knowledge is of interest to capture. Design Rationale, for example, captures decisions made during design so as to not lose the knowledge behind how and why certain decisions were made.... In PAGE 40: ... Definitions on Knowledge Based Systems. 4 Knowledge Enabled Engineering Approach Methods exist to capture and model knowledge, all with their advantages and disadvantages as seen in Table1 . Regardless what system/method is chosen, none will be the best in solving all problems.... In PAGE 60: ...3 Knowledge formalization The acquired knowledge was formalized through a company format used for building object oriented product models. Table1 shows an example from the formalized knowledge corresponding to the acquired knowledge in section 3.2.... In PAGE 60: ...3.1 Table1 . Excerpt from the formalized knowledge.... ..."
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