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Hemiparesis is the most common impairment after stroke, and the initial severity of hemiparesis had been the strongest predictor of neuromotor functional recovery level. However, the intervention response of stroke survivors does not always correlate with their initial level of impairment, which implies the existence of other factors that may significantly affect stroke survivors' recovery process...
Extract-Transform-Loading (ETL) tools integrate data from source side to target in building data warehouse. However data structure and semantic heterogeneity exits widely in the enterprise information systems. On the purpose of eliminate data heterogeneity so as to construct data warehouse, this paper introduces domain ontology into ETL process of finding the data sources, defining the rules of data...
Ontologies act like a bridge between user expressions and raw data. Hence, they can play an important role in assisting the users in their search for Web pages. Different users use different queries according to their knowledge and intuition to find the results. The numbers of relevant Web pages returned to users differ depending on the terms entered into the search box of traditional search engines...
Sentiment analysis is an important subtask for Opinion Mining, among which how to identify the opinion-element relation between a topic and a sentiment modifying it is an essential step. This paper presents a novel method to identify the opinion-element relation based on the dependency parsing analysis as well as shallow semantic analysis, using an ontology dictionary and a collocation database to...
Ontology databases in Semantic Grid can grow very large making it more complex and difficult to manage. Sub-ontology extraction in compliance with the user requirements paves the way for sub-ontology reuse in sub-ontology/ontology tailoring. As new developments and discoveries are unleashed, or when sub-ontology will be reused, the need to update the extracted sub-ontology is deemed necessary. In...
Next-generation patients are far from being peripheral to health-care. They are central to understanding the effectiveness and efficiency of services and how they can be improved. Today a lot of patients are used to reviewing local health services on-line but this social information is just stored in natural language text and it is not machine-accessible and machine-processable. To distil knowledge...
Data mining aims to mine the latent and worthy information from a large amount of data, however customers usually can't express their needs accurately or data resources were not defined specifically, it is often for people to obtain the useful data as well as plentiful of the useless data. Introducing ontology and agent into data mining, Ontology may carry on a more explicit definition in the semantic...
Building ontology from scratch need identify the basic concepts, and their attributes and relationships. In terms of information integration, draft concepts, attributes and relationships can be directly captured by processing schemas of data sources. In this context, we present a hybrid semantic discovery approach, which is an extension of our previous work[1][2] to capture concepts, attributes and...
Worldwide health scientists are producing, accessing, analyzing, integrating, and storing massive amounts of digital medical data daily, through observation, experimentation, and simulation. If we were able to effectively transfer and integrate data from all possible resources, then a deeper understanding of all these data sets and better exposed knowledge, along with appropriate insights and actions,...
The system of arms information extraction based on the ontology, consists of two parts: knowledge base, processing program. It realizes the arms category determination based on text categorization, and realizes the arms object determination based on named entity recognition. It realizes the information extraction according to information extraction rules based on syntax and semantic constraint. It...
Searching for special information in today's information explosion becomes more and more difficult. Using large search engines like Google is not suitable because they usually find millions of results out of millions of databases. In this paper, we investigated a new method to avoid the user's trouble of find what they need from massive data found by global engines. A new search framework based on...
Compare with SOAP-based service that based on interfaces access pattern, RESTful web service is HTTP-based and use resource as the operation object. On the purpose of supporting RESTful in the enterprise information application, a Resource-oriented Information Supported Framework is constructed based on ontology construction and evolution. First, the initial ontology with relational pattern is extracted...
Central to any collaboration problem is the need that the information being considered is as complete and up-to-date as possible. However, information sources tend to be disparate in their location and in both their structure and semantics. Additionally, many information sources such as web pages, blogs, etc were developed for interaction between humans and not in a form that can be shared easily...
Visual wrappers use visual information in addition to the DOM Tree properties in the extraction of data records. However, a closer look indicates that visual information can also be used to align data records into tabular form. In this paper, we propose a data alignment algorithm to align data records using DOM Tree properties and visual cue of data records. Our data alignment algorithm uses a regular...
Development of information systems for the systems health management domain are typically concerned with data collection assets, such as customer data systems or on-platform data recording devices, or the need for data warehouses to integrate copies of data from these sources. We propose that there exists a significant capability gap in this area - there is a need in the health management domain to...
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