EDBT

We are in the midst of very exciting times in which structured data is having a profound impact on many aspects of our lives. In many countries, citizens take for granted the fact that governments, local authorities, and non-government organizations ...

In this paper we review the history of systems for managing "Big Data" as well as today's activities and architectures from the (perhaps biased) perspective of three "database guys" who have been watching this space for a number of years and are ...

Similarity among mobile entities is an important type of query for many application domains. This tutorial provides a comprehensive overview of the different challenges related to assessing the similarity of spatio-temporal objects, along with the ...

During the last decade, data management and storage have become increasingly distributed. In consideration of the huge amount of data available in such systems, advanced query operators, such as skyline queries, are necessary to help users process the ...

Increased availability of large repositories of chemical compounds has created new challenges and opportunities for the application of data-mining and indexing techniques to problems in chemical informatics. The primary goal in analysis of molecular ...

Physical design represents one of the hardest problems for database management systems. Without proper tuning, systems cannot achieve good performance. Offline indexing creates indexes a priori assuming good workload knowledge and idle time. More ...

Uncertain data is inherently important in a lot of real-world applications, such as environmental surveillance and mobile tracking. Probabilistic convex hull is very useful for discovering the territory of imprecise data in such applications with a high ...

One of the leading challenges for pervasive computing is to ease the application development to smoothly handle the surrounding environment. We consider the case where the environment produces heterogeneous and continuous data, e. g. temperature ...

Contrary to recent trends in database systems research focussing on scaling out workloads on a cluster of commodity computers, this demo will break grounds for scale-up. We show that an elastic multi-tenancy solution can be achieved by combining a many-...

The recent growth of non-relational databases (often termed as NoSQL) is an interesting phenomenon that has generated both interest and criticism. One of the major drawbacks that is often referred to is the heterogeneity of the languages and interfaces ...

The ability to track and trace individual items, especially through large-scale and distributed networks, is the key to realizing many important business applications such as supply chain management, asset tracking, and counterfeit detection. ...

Modern Complex Event Processing (CEP) systems often need an high degree of customization in order to implement required application logic. The use of declarative languages, such as CQL, often leads to complicated and hard to maintain application code. ...

Usage of background knowledge about events and their relations to other concepts in the application domain, can improve the quality of event processing. In this paper, we describe a system for knowledge-based event detection of complex stock market ...

Mobility data sources feed larger and larger trajectory databases nowadays. Due to the need of extracting useful knowledge patterns that improve services based on users' and customers' behavior, querying and mining such databases has gained significant ...

The emergence of mobile and ambient computing technologies brings democratization in the access to information and data; services play a crucial role, thereby opening new research challenges for data querying. A promising method to access data within ...

The demonstration is devoted to the desktop-level interactions offered by Cador, a content-based document management system currently under development. Cador provides a rule-based language to query and manipulate large collections of documents ...

The Web of Data is an open environment consisting of very large, inter-linked RDF datasets from various domains (e.g., DBpedia, GeoNames, ACM, PubMed, etc.) accessed through SPARQL queries. Establishing interoperability in this environment has become a ...

The rapid proliferation of online forums has made it possible for people to share their intentions, wishes and experiences by posting comments with the aim of getting advice from other members of the forum. Extracting intentions from these comments ...

An increasing number of systems provide the ability to semantically annotate documents. OpenCalais [4], Evri API [2], Zemanta [6], and Alchemy API [1] are web-hosted systems that return annotated documents, i. e. documents with annotations that are ...

Complex Event Processing (CEP) over event streams has become increasingly important for real-time applications ranging from healthcare to supply chain management. In such applications, arbitrarily complex sequence patterns as well as non existence of ...

We tackle two important problems that arise in simulation-based studies of various data-related properties in the context of Wireless Sensor Networks (WSNs): (1) reducing the turnaround time for completing the simulations in a large-scale parameter ...

Extracting knowledge from data is, in most cases, not restricted to the analysis itself but accompanied by preparation and post-processing steps. Handling data coming directly from the source, e. g. a sensor, often requires preconditioning like parsing ...