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Table 3: Some Relations from the Conceptual Model

in 2000b. Selective Analysis for Automatic Abstracting: Evaluating Indicativeness and Acceptability
by Horacio Saggion, Guy Lapalme 2000
"... In PAGE 4: ...tc.), thinking (interest, opinion, etc.), identifying (define, describe, etc.). Some of these relations are presented in Table3 . Note that we have identified only a few linguistic expressions used in order to express particular elements of the conceptual model, this is because we were mainly concerned with the development of a general method of text summarization and the task of constructing such linguistic resources is time consuming.... ..."
Cited by 2

Table 1. Stereotypes and tags for conceptual modelling

in Data Mining and Semantic Web services
by Elita Miliauskaitė, Lina Nemuraitė
"... In PAGE 9: ... Example of constraints on reflexive relationship for class A having mandatory relationship with class B 8. The summary of stereotypes and tags for representation of integrity constraints All proposed stereotypes and tags are listed in Table1 (standard UML stereotypes as lt; lt;enumera- tion gt; gt;, lt; lt;dataType gt; gt; are not included here). They may be considered as potential UML profile for precise conceptual modelling including integrity con- straints.... ..."

Table 5. Results of the implementation of the conceptual model

in Building the Record Keeping System (RKS). Process Improvement Triggered By Management Of Archival Documents Geert-Jan van Bussel Management consultant and Assistant professor
by Ferdinand Ector
"... In PAGE 8: ... The performance of the business process is improved, and, besides effectiveness and efficiency, legitimacy and accountability are guaranteed too. For each task, the re- sults of the implementation are shown in Table5 . In ana- lyzing these results, we considered the parallelism and branching between tasks and the use of archival docu- ments.... ..."

Table B.1 - Conceptual Model Plan

in Mathematical models. 4. Air – Pollution – Meteorological aspects – British Columbia. 5. Atmospheric diffusion – Mathematical
by Models I. Sakiyama, Steven K. (steven Koji 2005

Table 1: Conceptual description of the regions

in Constructing a Path Database for Scene Categorization
by Pau Baiget, Carles Fernández, Ariel Amato, Xavier Roca, Jordi Gonzàlez
"... In PAGE 5: ... The predicates on road, on sideway seg, and on crosswalk are derived from the agent posi- tion at each time t, using the scene model. As an example, Table1 shows a description obtained from a tracked human trajectory, which denotes an agent crossing the road while walking along the crosswalk. 4 Conclusions and Further Work In this work we have presented a method to auto- matically extract conceptual information from a sce- nario by means of a set of existing agent trajectories, a calibrated camera, and an ontology of the possible semantic regions.... ..."

Table 1: Conceptual Map of Interrelations

in Third-Party Resource Usage for Pervasive Computing: Case for Support - EPSRC Programmable Networks Initiative (3rd call)
by M. Hennessy, T. Owen, J. Rathke, V. Sassone, I. Wakeman, D. Watson
"... In PAGE 3: ... It will lead to our concluding milestone, the design and pro- totyping of a language (for end-to-end pervasive services) which will embed: resource negotiation, adaptive behaviour, security of access, control of resource usage, trust, and an as- sociated working market-based system for third-party com- putation, with pricing structures informed partly by program reputation. Workplan The description of our workplan is arranged under six head- ings, whose mutual dependencies and relative timing are il- lustrated respectively in Table1 and 2 below. Resource Models.... ..."

Table 1. ERP Publications at Selected International IS Conferences 1997-2000.

in unknown title
by unknown authors 2001
"... In PAGE 5: ... Publications during the period 1997-2000 were analyzed. Table1 lists the number of publications identified from IS journals and conferences. We also included relevant articles from other scientific publications we found during the collection process.... ..."

Table A.2-1 Conceptual Model for the CAU 263 Leachfield System Conceptual Model

in unknown title
by unknown authors

Table Animation of Fast Oriented Line Integral Convolution for Vector Field Visualization, Proceedings of the 8- th International Conference in Central Europe on Computer Graphics, Visu- alization and Interactive Digital Me- dia apos;2000, 2000, pp. 4-11.

in A Survey on Visualization of Vector Fields By Texture-Based Methods
by A. Sanna, P. Montuschi, P. Montuschi 2000
Cited by 12

Table 1. Comparison between the Feature Model and Conceptual Variability Model

in Tracing Software Product Line Variability – From Problem to Solution Space
by Kathrin Berg, Judith Bishop, Dirk Muthig, Fraunhofer Iese
"... In PAGE 9: ... Table1 shows a comparison between the feature model and the conceptual variability model for traceability with regards to a unified approach. 5.... ..."
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