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To improve cancer survival rates and prognosis, one of the first steps is to improve our understanding of contributory factors associated with cancer survival. Prior research has suggested that cancer survival is influenced by multiple factors from multiple levels. Most of existing analyses of cancer survival used data from a single source. Nevertheless, there are key challenges in integrating variables...
The analysis and decision scenarios, which are more complex in many domains, request more unstructured data to be reorganized with the structured data for analyzing. An architecture is proposed in this paper for data reconstruction to support OLAP analysis based on the knowledge graph and XML data warehouse technologies. In this architecture, the data cubes can be built with the data of two kinds...
Ontology is a hotspot of research in knowledge engineering. It is an effective means that building an ontology-based domain knowledge base to realize the sharing of domain knowledge. Manual building needs lots of repetitive work, which is inefficient and hard to migrate from one field to others. To solve the above problems, this paper presents an approach of domain ontology construction based on resource...
Ontology matching is a basic method for resolving ontology heterogeneity. In order to achieve the finest matching result through aggregation, a couple of measuring methods are often applied to the process of ontology matching and then the results of all methods produced are aggregated. This paper proposes a new method in aggregating the similarity through analysis of existing methods. Our proposal...
The domain knowledge has a direct impact on the result of question - answering (Q & A) in the restricted domain question answering system (QA). In this paper, a method of answer extraction for domain Chinese question-and-answer (Q&A) is proposed, which based on the analysis of interrogative sentence and the answer type, carrying on the text retrieval with the help of the domain knowledge and...
In previous research works, the causality generally refers to the existence of causality in mathematics and physics. In recent years, detection and clarification of cause-effect relationships, causality detection, among texts, events or objects has been elevated to a prominent research topic of natural and social sciences over the human knowledge development history. This paper demonstrates a causality...
Sentence parsing has a long research history in the fields of machine learning and natural language processing. The state-of-the-art techniques for tackling this task are mostly based on statistical language learning. How human parsing sentences is also an important research topic attracting research efforts for decades in the field of cognitive psychology. Some behavioristic experiments have convinced...
We propose that the semantic formal model for P3P and EPAL-based privacy protection policies can be enforced and expressed as a variety of ontologies and rules (ontologies+rules) combinations, such as DLP, SWRL, AL-log, DL- log, DL+log, and MKNF, etc. Based on P3P and EPAL's original expressions and their dictionaries, several ontologies+rules semantic enforcement of privacy protection policies will...
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