Download Conceptual Modeling: 35th International Conference, ER 2016, by Isabelle Comyn-Wattiau, Katsumi Tanaka, Il-Yeol Song, PDF

By Isabelle Comyn-Wattiau, Katsumi Tanaka, Il-Yeol Song, Shuichiro Yamamoto, Motoshi Saeki

This e-book constitutes the refereed lawsuits of the 345h foreign convention on Conceptual Modeling, ER 2016, held in Gifu, Japan, in November 2016.

The 23 complete and 18 brief papers awarded including three keynotes have been conscientiously reviewed and chosen from 113 submissions. The papers are prepared in topical sections on Analytics and Conceptual Modeling; Conceptual Modeling and Ontologies; requisites Engineering; complex Conceptual Modeling; Semantic Annotations; Modeling and Executing enterprise tactics; company procedure administration and Modeling; purposes and Experiments of Conceptual Modeling; Schema Mapping; Conceptual Modeling assistance; and target Modeling.

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Additional resources for Conceptual Modeling: 35th International Conference, ER 2016, Gifu, Japan, November 14-17, 2016, Proceedings

Example text

In future, we plan to study ORA-semantics on NoSQL databases, and keyword search on multiple databases that are represented by various data models including RDB, XML and NoSQL. References 1. : Synthesizing third normal form relations from functional dependencies. ACM Trans. Database Syst. 1, 277–298 (1976) 2. : The entity-relationship model: toward a unified view of data. ACM Trans. Database Syst. 1, 9–36 (1976) 3. : A relational model of data for large shared data banks. ACM Commun. 13, 377–387 (1970) 4.

As we will discuss next, this data sharing implies a CM exercise to identify the relevant concepts and their corresponding relationships. Only having such a CM-based background, an efficient data analysis can be done and assessed. For instance, a recent analysis of the ClinVar data source on variant interpretation comparisons concluded that 11 % (12,895 up to 118,169) of variants had two or more submitters, and 17 % (2229 up to 12,895) were interpreted differently [22, 23]. Increasingly, genetic tests provide ambiguous results, leaving doctors and scientists searching to make sense of these “variants of unknown significance”.

The most similar experience, the 1000 Genomes database, stores several TB of data. Still worse, it is not just a problem of data loading, it is a problem of data management. We should be able to “read” any particular genome, to compare different genomes, to edit a genome as we do with a conventional program… Genome editing technologies start to be a reality and the practical implications of all these facts are anticipating a revolution in our human concept of medicine, leading to the medicine of precision, a personalized medicine where any treatment will be dependent on the personal “genomic” code of the patient.

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