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Besides the text content, documents and their associated words usually come with rich sets of meta information, such as categories of documents and semantic/syntactic features of words, like those encoded in word embeddings. Incorporating such meta information directly into the generative process of topic models can improve modelling accuracy and topic quality, especially in the case where the word-occurrence...
With the continuous development of network and database technology, share and conversion on heterogeneous data are still a complex problem currently facing. Current methods are mostly based on the similarity between the field to complete the matching process, although this method can finish partial matches on information, its time complexity is very high due to the large processing data sets and the...
In this paper studies a kind of information matching method based on neural network, and the method combines first-order logic and semantic similarity to complete the table matching, using SOM+ to generate feedback neural network to complete the field matching. The method can effectively reduce the matching time complexity. And by using history match, it effectively reduces the training time of neural...
N-gram language models are useful for modeling the local dependencies of word occurrences but not for capturing global word dependencies. When the window size n is limited, the n-gram is weak in terms of capturing long distance dependencies. Long-distance Dependency information has long been proven useful in language model. However, the improved performance of long-distance LMs over conventional n-gram...
With the increasing number of e-commerce sites, how to get a quick search about the information you want from thousands of e-commerce networks is becoming an urgent problem. In this paper, we present a solution to this problem, first, domain knowledge is established according to the e-commerce field, then we build a deep web information retrieval system based on e-commerce to help users find the goods...
Traversal through a Linked Data Structure (LDS) in applications encounters heavy cache misses and severe performance degradation. Due to tight load-load dependences in LDS traversal, the chance of overlapping the cache misses in exploiting the memory-level parallelism is slim. Furthermore, the irregularity of the missing block addresses makes it difficult for accurate data prefetching without recording...
In this work, a framework of multimedia retrieval system basing on the MPEG-7 standard as information schema will be proposed. It provides a content-based retrieval method which uses MPEG-7 Metadata description. The high efficient of multimedia retrieval as well as the data management is an important issue. Tending to query the multimedia data, the previous text-based retrieval system is too difficult...
Isomerous geological hazard data have four types: structural isomer, syntax isomer, system isomer and semantic isomer. Interoperability of semantic heterogenous data is a difficult issue due to its complexity and implication. Ontology not only describes exactly the meaning of concepts but also inner relationship of the concepts. So ontology can efficiently express common knowledge of specific domain...
For the results of early quantitative studies on color emotions can not be used in large-scale light environment, the quantificational method of color emotions for the large-scale landscape illumination environment was put forward. In a psychophysical experiment, 21 large-scale double chromatic stimuli on 20 chromatic-light emotional scales were assessed. The factor analysis identified two double...
The traditional knowledge push service based on non-semantic is inefficient in the hit ratio and accuracy because of the lack of semantic description and modeling to user preferences and knowledge resources. Semantic Web has unique advantages such as the robotization of the meaning interpretation, the decentralization of knowledge expression and the information identification by ontology. It provides...
How to quickly find image that user needed. It is important to build an index to image database. It is possible to retrieve images from database using a unique identification defined by a human operator as an index to images, but it is more reasonable to index images based on their contents. The principle of Content-Based Image Retrieval system is to retrieve images based on the content of the images...
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