Querying Moving Objects in SECONDO

TL;DR: The design principles of a holistic approach combining real-time processing and archived data analysis to process mobility data “on the fly” are introduced and a few representative examples are introduced to demonstrate the relevance of the approach.

TL;DR: The framework proposed in this paper is a cornerstone towards efficient real-time managing and monitoring of mobile objects through distributed spatio-temporal streams processing on large clusters and enables seamless integration with batch and interactive processing like MapReduce.

TL;DR: The effectiveness and the efficiency of the proposed algorithm are experimentally validated over synthetic and real-world trajectory datasets, demonstrating that STClustering outperforms an off-the-shelf in-DBMS solution using PostGIS by several orders of magnitude.

TL;DR: This work states that machine learning currently offers some of the most cost-effective tools for building predictive models from biological data, e.g., for annotating new genomic sequences, for predicting macromolecular function, for identifying functionally important sites in proteins, and for discovering the networks of genetic interactions that orchestrate important biological processes.

TL;DR: The goal is to develop data models and query languages as well as DBMS implementations supporting such entities, enabling new kinds of database applications.

TL;DR: The goal of SECONDO is to provide a "generic" database system frame that can be filled with implementations of various DBMS data models, and it is believed to be an excellent tool for teaching database architecture and implementation concepts.

TL;DR: The implementation of the ROSE algebra is described, providing data structures for the types and new realm-based geometric algorithms for the operations, and the main techniques used are (parallel) traversal of objects, plane-sweep, and graph algorithms.

TL;DR: This paper presents the system functionality, given by a uniform set of user commands that are valid for all data models, and the extensible system architecture, and describes the key strategies for extensible query processing in the SECONDO environment and explains the structure of the algebra modules.