Advances in Conceptual Modeling: ER 2014 Workshops, ENMO, by Marta Indulska, Sandeep Purao

By Marta Indulska, Sandeep Purao

This ebook constitutes the refereed lawsuits of workshops, held on the thirty third overseas convention on Conceptual Modeling, ER 2014, in Atlanta, GA, united states in October 2014. The 24 revised complete and six brief papers have been rigorously reviewed and chosen out of fifty nine submissions and are offered including four demonstrations. The papers are prepared in sections regarding the person workshops: the 1st overseas Workshop on firm Modeling, ENMO 2014; the second one overseas Workshop on Modeling and administration of huge info, MoBiD 2014; the 1st foreign Workshop on Conceptual Modeling in standards and company research, MReBA 2014; the 1st foreign Workshop on caliber of versions and versions of caliber, QMMQ 2014; the eighth overseas Workshop on Semantic and Conceptual concerns in GIS, SeCoGIS 2014; and the eleventh overseas Workshop on internet info platforms Modeling, WISM 2014. The contributions conceal various themes in conceptual modeling, together with specifications and firm modeling, modeling of huge facts, spatial conceptual modeling, exploring the standard of types, and concerns particular to the layout of net info systems.

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In BORO a fundamental relation between elements is whole-parts. Whole-part patterns also explain how different fourdimensional objects overlap. This overlap can be both spatial and/or temporal. For example, if a car was red last week and is green this week, we can see this as a red temporal part followed by a green temporal part, where the temporal parts are timeslices of the whole car. Classes in BORO are defined as sets and therefore are immutable, similarly to sets in mathematical set theory.

The hash partitioning technique splits the graph data based on the fixed hash values. It is inefficient because it does not consider the connectivity of graph data. On the other hand, the range partitioning technique can maintain the connectivity of the graph data. However, it is limited to specific types of issues. Lin [10] partitioned input data based on the range partitioning technique which groups related vertices to a data partition according to the domain names. Although the scheme shows improved performance of PageRank of a large-scale graph from multiple domians, it is impossible to be applied to a large-scale web graph which comes from a single domain.

G: BPM as ”beat per minute” - health). 2 Execution The main purpose of this phase is to perform activities which extract and synthesize data from papers. There are three stages associated with the execution phase: (1) Select Primary Studies, (2) Execute Data Extraction and (3) Synthesize Extracted Data. Select Primary Studies. The automatic search resulted in 1079 papers potentially being relevant for our survey. IEEE delivered 82% of the results, followed by ScienceDirect (11%) and the ACM (7%).

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