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Data provenance is essential for debugging query results, auditing data in cloud environments, and explaining outputs of Big Data analytics. A well-established technique is to represent provenance as annotations on data and to instrument queries to propagate these annotations to produce results annotated with provenance. However, even sophisticated optimizers are often incapable of producing efficient...
Nominal compounds which constituted of two nouns together are very common in reading materials or web pages. The interpretation of these compounds can help us know the meaning of a text or sentences. Traditional approaches utilized the method based on verbs and rules to obtain the interpretation of compounds with low recall. So we investigate an interpretation method based on similarity which makes...
Behavior recognition from large available motion capture data has received wide attention in the computer animation community and is growing increasingly important in recent years. In this paper, we present an efficient motion capture behavior recognition approach via neighborhood preserving dictionary learning. First, we normalize all the motion sequences in the database to make the motion to be...
Home insurance is a critical issue in the state of Florida, considering that residential properties are exposed to hurricane risk each year. To assess hurricane risk and project insured losses, the Florida Public Hurricane Loss Model (FPHLM) funded by the states insurance regulatory agency was developed. The FPHLM is an open and public model that offers an integrated complex computing framework that...
Domain knowledge ontology supports the implementation of intelligent Case Based Reasoning (CBR) systems. Standardized terminologies support efficient indexing and processing of patient data. It is an essential element for the implementation of knowledge-based clinical decision support by exploiting pre-defined semantic relationships, both hierarchical and non-hierarchical in nature. Systemized Nomenclature...
A complex analytic flow in a modern enterprise may perform multiple, logically independent, tasks where each task uses a different processing engine. We term these multi-engine flows hybrid flows. Using multiple processing engines has advantages such as rapid deployment, better performance, lower cost, and so on. However, as the number and variety of these engines grows, developing and maintaining...
Currently, there are no online websites that can provide mutual translation between Chinese and Tibetan. This paper introduces the online dictionary's functions and the technical route. And then this paper proposes the basic method to build Tibetan-Chinese dictionary which is based on Tibetan semantic ontology. Central to this approach is to build Tibetan semantic ontology with some semantic relationship...
The Chinese-English lexical knowledge base based on HNC is an important component of the HNC knowledge base system. As a new stage of the HNC natural language processing, the building of the knowledge base needs a deep development of the association between the target language and the source language in the concept of space. In this paper, the Chinese-English lexical knowledge base model based on...
One of the major problems in heterogeneous databases integration with different scheme and management system, is the data tautology, which involves an issue of semantics in the content mainly from the names and addresses at the time of normalizing the database, this problem is tackled in this article, by means of a neural network to classify the data. The results show that can be proper classification...
Sensor networks are often deployed with the purpose of providing data to large-scale information management and GIS systems, or to collect measurements for specific scientific experiments. The benefits of such use are clear and widely accepted. The reuse of observations in low-cost, lightweight, web applications and mashups is a further compelling use case for sensor networks, but requires provision...
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