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With globalization and rising competition, innovation cycles have shortened in recent years. Thus, the need for flexible and quickly changeable IT systems motivated companies to adopt new technologies and IT architectures, leading to novel concepts like the Industrial Internet of Things or Industrie 4.0. These concepts make it necessary to propagate information through multiple software systems and...
In situ processing is a promising solution to the problem of imbalance between computational capabilities and I/O bandwidth in current and future supercomputers. Initially designed for staging I/O, in situ middleware now can support a wide range of domains such as visualization, machine learning, filtering, and feature tracking. Doing so requires in situ middleware to manage complex heterogeneous...
Filtering and finding items of interest in large volumes of data, such as products in an e-commerce application or invoices in an ERP web platform can be a burdensome task, either for novice users that do not have insights on how the data is modeled or for those users who are already accustomed to the used system, but usually their filtering needs are significantly more complex. Natural language processing...
As the capabilities of remote sensing devices keep improving, large amounts of Earth Observation (EO) data are being generated by satellites every day, recording the status of environment. The EO data produced are drastically expanding in precision, quantity and size. However, the capacity of managing, retrieving and reasoning the big EO data from heterogeneous EO data sources across the world is...
This paper deals with the object detection, recognition and categorization taking into account its ability to convert into some other object. This is possible when the object variance includes an individual ability to change one or more of its properties within some fixed computational framework. The potentially convertible individuals are gathered into the variable domains, in turn. The variance...
As of today, building automation systems are present in almost any commercial building. They perform climate control, lightning control, access control, surveillance, and quite a few other tasks. As a result of their evolutionary development, building automation systems are divided into separate silos of disciplines that are not well integrated with each other. As of today, a variety of communication...
On the basis of regular expression, by rational extension and reconstruction, the concept of homologous regular expressions(abbreviated to HRegExp) is put forward. The syntax structure and element organization of simple data type and complex data type in schemas can be described perfectly by using HRegExp. Algorithms for analysing and extracting the HRegExp from various GML schemas are introduced.
Nowadays, ontology as a knowledge sharing approach plays an important role in semantic interoperability of enterprise applications (EAs). However, the manual process of ontology construction requires deep understanding of the domain. This approach is difficult, expensive and time-consuming. To overcome the knowledge acquisition bottleneck, ontology learning field aims to provide automatic and semi-automatic...
Scientific discovery increasingly requires collaboration between scientific sub-domains that often have different representations for their data. To bridge gaps between varying domain representations, researchers are developing metadata and semantic representations meaningful to broader communities. Through exploiting these representations we propose a logical model and architecture by which cross-domain...
This paper proposes the semantic generalization. This generalization makes it possible for a shape graph, which corresponds to a relation schema in the relational data model, to have elements by considering the semantics of the elements of the original shape graphs even if there is no common element in the original shape graphs. For this purpose, viewpoints and relationship trees are introduced. A...
Data model changes in software applications raise a reusability problem with files saved before the changes. This paper describes program support for data translation by using a software extension for an integrated development environment. The extension translates data from a binary file used by earlier versions of the tool to a set of XML files which correspond to the model of the new tool. Logic...
As a necessary part of our daily life, choose what dishes to cook that is a problem and troubles many people every day. In recent years, there has been a proliferation of multimedia recipe data on the Web 2.0 communities. To assist people to navigate and search on from large amounts of recipes, a suitable recipe model is crucial and indispensable. However, recipes have some distinct characteristics...
Valid-time indeterminacy concerns not knowing exactly when a fact holds in the modeled reality. In this paper, we first propose a reference approach (data model and algebra) in which all possible temporal scenarios induced by valid-time indeterminacy can be extensionally modeled. We then specify a family of sixteen more compact representational data models. We demonstrate their correctness with respect...
As a kind of data model, a formal context must be extracted from some actual data sources such as documents. For case of unstructured Chinese document, it is the first question to decide how to express the document. Vector space model (VSM) which is the dominant model of document expression now takes a single word as a feature item, so that neglects the lexical semantic relationship between words...
Expressive power has been a well-established as a dimension of measuring the quality of a computer language. Easiness is another dimension. It is the main stream of development in programming language and database management. However, there has not been a method to precisely measure the easiness of a computer language. This article discusses easiness. Provided that a data model be easier than a programming...
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