Linked Data today available on the Web mostly represent snapshots at particular points in time. The temporal aspect of data is mostly taken into account only by adding and removing triples to keep datasets up-to-date, thus neglecting the importance to keep track of the evolution of data over time. To overcome this limitation, we introduce the LinkHisData framework to automatize the creation and...

[1] In this paper we present a multidecadal and global three-dimensional stable water isotope data set. This is accomplished by incorporating processes of the stable water isotopes into an atmospheric general circulation model and by applying a spectral nudging technique toward Reanalysis dynamical fields. Unlike the global model simulations forced only by sea surface temperature (SST), the dyn...

The storage and analysis of large amounts of time-varying spatial and aspatial data is becoming an important feature of many application domains. This has fuelled the need for spatio-temporal extensions to data models and their associated querying facilities. To date, much of this work has focused on the relational data model, with object data models receiving far less consideration. Where desc...

Background. In this paper, we address the challenge of recovering a time sequence of counts from aggregated historical data. For example, given a mixture of the monthly and weekly sums, how can we find the daily counts of people infected with flu? In general, what is the best way to recover historical counts from aggregated, possibly overlapping historical reports, in the presence of missing va...

Although the typical study in psychology involves the quantitative analysis of contemporary research participants, occasionally psychologists will study historical persons or events. Moreover, these historical data may be analyzed using either qualitative or quantitative techniques. After giving examples from the subdisciplines of cognitive, developmental, differential, abnormal, and social psy...

We describe CITlab’s recognition system for the ANWRESH-2014 competition attached to the 14. International Conference on Frontiers in Handwriting Recognition, ICFHR 2014. The task comprises word recognition from segmented historical documents. The core components of our system are based on multi-dimensional recurrent neural networks (MDRNN) and connectionist temporal classification (CTC). The s...

Data reverse engineering is a rapidly growing field which is sometimes misunderstood. In our effort to promote the realization that data reverse engineering is a valuable and essential part of reverse engineering and is now finding its place in software engineering, we present a summary of the history of data reverse engineering. In this paper, a definition of data reverse engineering, a summar...

3 About tetrachloroethylene 7 I Study materials I-1 Study sample lots, etc .. 14 I-2 Identity, stability of study sample 14 I -2-1. Identity 14 I-2-2 Stability 14 I-3 Laboratory animals 14 II Study methods IIL Administration II-1-1 Administration route, administration method, and administration period 15 II-1-2. Administration concentration and reason for establishing the same 15 II-1-3 Method ...

Two-factor authentication is increasingly demanded in the Internet of Things (IoT), especially those deployed in the critical infrastructure. However, resource and operational constraints of typical IoT devices are the key impediment, especially when the IoT device acts as a verifier. This paper proposes a novel authentication factor (namely, historical data) which, when combined with the conve...

business objects (Obj) 16 Basic abstract geoscience business objects, including projects, wells, well logs, markers, zones, and seismic data Concrete business object input/output (I/O) 15 Concrete input/output behaviors for abstract business object persistence mechanisms Data import/export filters (Filter) 14 Abstract factories, strategies, and GUI components for importing and exporting “foreig...