The World Health Organization estimates that almost one-third of the world's adult population are suffering from hypertension which has gradually become a "silent killer". Due to the varieties of anti-hypertensive drugs, patients are interested in how these drugs can be selected to match their respective conditions. This study provides a personalized recommendation service system of anti-hypertensive drugs based on context-awareness and designs a context ontology framework of the service. In addition, this paper introduces a Semantic Web Rule Language (SWRL)-based rule to provide high-level context reasoning and information recommendation and to overcome the limitation of ontology reasoning. To make the information recommendation of the drugs more personalized, this study also devises three categories of information recommendation rules that match different priority levels and uses a ranking algorithm to optimize the recommendation. The experiment conducted shows that combining the anti-hypertensive drugs personalized recommendation service context ontology (HyRCO) with the optimized rule reasoning can achieve a higher-quality personalized drug recommendation service. Accordingly this exploratory study of the personalized recommendation service for hypertensive drugs and its method can be easily adopted for other diseases.

Mining product reviews and sentiment analysis are of great significance, whether for academic research purposes or optimizing business strategies. We propose a feature-level sentiment analysis framework based on rules parsing and fine-grained domain ontology for Chinese reviews. Fine-grained ontology is used to describe synonymous expressions of product features, which are reflected in word changes in online reviews. First, a semiautomatic construction method is developed by using Word2Vec for fine-grained ontology. Then, feature-level sentiment analysis that combines rules parsing and the fine-grained domain ontology is conducted to extract explicit and implicit features from product reviews. Finally, the domain sentiment dictionary and context sentiment dictionary are established to identify sentiment polarities for the extracted feature-sentiment combinations. An experiment is conducted on the basis of product reviews crawled from Chinese e-commerce websites. The results demonstrate the effectiveness of our approach.

Urban‒rural integration development (URID) is the solution to the excessive urban‒rural gap, unequal and insufficient development in urban‒rural areas, along with the process of dynamic and balanced urban‒rural growth. The promotion of high-quality development and sustainable development in the Yellow River Basin (YRB) depends heavily on the scientific development of an evaluation index for urban‒rural integration (URI), the quantitative measurement of the level of URI, and the accurate identification of the spatial layout of URI. The URI indicator system is built using the new development philosophy, and 94 cities in the YRB are used as samples. The spatial and temporal evolution characteristics of the URID in the YRB were studied from 2010 to 2020 using the entropy value method and coupled coordination model. The study shows that from 2010 to 2020, along the YRB, both urban and rural development (URD) levels generally increased. However, regional differences increased and development levels varied, showing a trend of uneven development between provinces. Overall, the degree of URID was increasing and still low, but there are three main types of urban‒rural coupling and coordination (URCC) that are relatively stable: barely coordinated, primary coordination, and on the verge of disorder. Primary coordination replaced barely coordinated as the dominant type over time. Finally, it is suggested that urban and rural regions should not be “managed separately” but rather should be viewed as a cohesive organic whole; to drive urban cluster construction and spur rural development, to further close the urban‒rural divide, reliance on the city centre is necessary. Concurrently, this encourages the transfer of farm labour and supports the coordinated growth of urban‒rural industries; investment in advantageous industries is strengthened; the construction of URIs should be promoted at a more microscopic city and county level; and strong support is provided to achieve high-quality sustainable development of the YRB. It is important to put into practice the new development philosophy, investigate the fundamental causes of the growing urban‒rural divide, change the development strategy, and optimize this new development path.