A medical Chatbot using machine learning and natural language understanding

Multimedia Tools and Applications - For people with busy schedules, travelling to and from a hospital for treatment is considerably time consuming, which leads them to ignore their health problems....     

Personalized web feeds based on ontology technologies

The rapid development of the social Web has resulted in diverse Web 2.0 applications for accessing various Web feeds such as Weblogs, news headlines, business products, real time information and Podcasts. Due to the masses of Web feeds available on the Internet, a major challenge is how to access them efficiently. Conventional methods of manually finding and matching keyword for Web feeds are time-consuming and inaccurate. This study addresses this issue by defining a Personalized Web Feeds Framework (PWFF) for integrating ontology technologies into Web feeds and user profiles. The proposed PWFF is used to develop an Ontology-based Personalized Web Feed Platform (OPWFP) that provides customized Web feeds for personnel needs. To demonstrate the feasibility of OPWFP, the experimental results illustrate the efficiency and effectiveness of the proposed approach.     

Intergroup consensus/disagreement in support of group-based hierarchy: An examination of socio-structural and psycho-cultural factors.

A meta-analysis examined the extent to which socio-structural and psycho-cultural characteristics of societies correspond with how much gender and ethnic/racial groups differ on their support of group-based hierarchy. Robustly, women opposed group-based hierarchy more than men did, and members of lower power ethnic/racial groups opposed group-based hierarchy more than members of higher power ethnic/racial groups did. As predicted by social dominance theory, gender differences were larger, more stable, and less variable from sample to sample than differences between ethnic/racial groups. Subordinate gender and ethnic/racial group members disagreed more with dominants in their views of group-based hierarchy in societies that can be considered more liberal and modern (e.g., emphasizing individualism and change from traditions), as well as in societies that enjoyed greater gender equality. The relations between gender and ethnic/racial groups are discussed, and implications are developed for social dominance theory, social role theory, biosocial theory, social identity theory, system justification theory, realistic group conflict theory, and relative deprivation theory. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

XML-Based Information Fusion Architecture Based on Cloud Computing Ecosystem

Considering cloud computing from an organizational and end user computing point of view, it is a new paradigm for deploying, managing and offering services through a shared infrastructure. Current development of cloud computing applications, however, are the lack of a uniformly approach to cope with the heterogeneous information fusion. This leads cloud computing to inefficient development and a low potential reuse. This study addresses these issues to propose a novel Web 2.0 Mashups as a Service, called WMaaS, which is a fundamental cloud service model. The WMaaS is developed based on a XML-based Mashups Architecture (XMA) that is composed of Web 2.0 Mashups technologies, including Web Data, Web API, Web Interaction, and Web Presentation to associate with existing service models. To demonstrate the feasibility of this approach, this study implemented a Ubiquitous Location-based Service System (ULSS) that is a cloud computing application developed based on WMaaS to provide continuous and location-based schedule information for organization monitoring and end user needs.     

Integrating ontology technology with folksonomies for personalized social tag recommendation

Social tagging systems leverage social interoperability by facilitating the searching, sharing, and exchanging of tagging resources. A major drawback of existing social tagging systems is that social tags are used as keywords in keyword-based search. They focus on keywords and human interpretability rather than on computer interpretable semantic knowledge. Therefore, social tags are useful for information sharing and organizing, but they lack the computer-interpretability needed to facilitate a personalized social tag recommendation. An interesting issue is how to automatically generate a personalized social tag recommendation list to users when a resource is accessed by users. The novel solution proposed in this study is a hybrid approach based on semantic tag-based resource profile and user preference to provide personalized social tag recommendation. Experiments show that the Precision and Recall of the proposed hybrid approach effectively improves the accuracy of social tag recommendation.     

Gender differences in shoppers’ behavioural reactions to ultra-low price tags at online merchants

Mistakenly-tagged low prices are harmful to online merchants but difficult to avoid completely, thus it is meaningful to track shoppers’ abnormal response to them and develop resolutions accordingly. In light of relevant issues received rare attention from both practitioners and researchers, this work aimed to identify shoppers’ typical behavioural reactions to ultra-low prices at Internet merchants, and further investigate gender differences in particular behavioural aspects. A consensus-based positional voting system, the modified Borda count and the Pareto analysis were applied to profile general shoppers’ behavioural responses. A survey was conducted to measure the intensity of subjects’ intention toward the identified behavioural aspects. Analysis using independent samples t-tests were performed to investigate gender differences in these reactions. Besides providing an insight into shoppers’ behavioural reactions to ultra-low prices at Internet storefronts, this work provides practitioners a basis for developing resolutions that are adaptive to customer populations with different proportions of male to female.     

Differentiation of Cordyceps Sinensis by a PCR-Single-Stranded Conformation Polymorphism-Based Method and Characterization of the Fermented Products in Taiwan

Cordyceps sinensis (Berk.) Sacc., which is a part of traditional Chinese medicine, has been used as a tonic food and herbal medicine in Asia for centuries. C. sinensis is sold as powders, and the quality is often questionable. To confirm the quality of C. sinensis, products were purchased from different supermarkets in Taiwan. Product samples were analyzed using PCR-single-stranded conformation polymorphism (PCR-SSCP) assay based on internal transcribed spacer 2 (ITS2). PCR-SSCP patterns distinguished ten samples into six groups, but no sample was grouped with representative C. sinensis (rCS). Only two of the ten C. sinensis functional ingredient samples (CSFFMS) tested CB and ST, were similar to the reference product of C. sinensis. This in consistent result could be caused by poor fermentation control process, contamination of original marketing samples or adultration. Therefore, the use of PCR-SSCP could be used for species differentiation or the detection of mutations based on ITS2 region in C. sinensis. The method represents a potential novel means for the differentiation of Cordyceps herbal medicines/functional ingredients and could be used as a quality control in the Cordyceps fermentation industry.     

OWL-L: An OWL-based language for Web resources links

Although providing metadata association, XLink lacks computer-interpretability to support knowledge representation for intelligent applications. This study proposes an OWL-based language, called OWL-L, to make Web resources links computer-interpretable. Two aspects of OWL-L, link profile and link model are described. The link profile provides the information required for an agent to discover a link, while the link model provides information that enables an agent to exploit a link. Finally, this study describes the feasibility of using role/arcRole properties of links to represent OWL-based ontologies, which can thus seamlessly interoperate and integrate with OWL-L to enhance knowledge representation.     

Integrated machine learning with semantic web for open government data recommendation based on cloud computing

Open government data (OGD) is a type of trusted information that can be used to verify the correctness of information on social platforms. Finding interesting OGD to serve personalized needs to facilitate the development of social platforms is a challenging research topic. This study explores how to link the Taiwanese government's open data platform with Facebook and how to recommend related OGD. First, an integrated machine learning with semantic web into cloud computing framework is defined. Next, the linked data query platform (LDQP) is developed to validate its feasibility. The LDQP provides a graphical approach for personal query and links with related Facebook fan pages. LDQP automatically finds highly relevant OGD based on recent topics that users are following on Facebook when users login to Facebook via the LDQP. In this way, the LDQP query result can be dynamically adjusted and graphically displayed according to user's Facebook operations.     

Optimization of Lipase Production by Burkholderia sp. Using Response Surface Methodology

Response surface methodology (RSM) was employed to optimize the extracellular lipase production by Burkholderia sp. HL-10. Preliminary tests showed that olive oil, tryptone and Tween-80 exhibited significant effects on the lipase production. The optimum concentrations of these three components were determined using a faced-centered central composite design (FCCCD). The analysis of variance revealed that the established model was significant (p < 0.01). The optimized medium containing 0.65% olive oil (v/v), 2.42% tryptone (w/v) and 0.15% Tween-80 (v/v) resulted in a maximum activity of 122.3 U/mL, about three fold higher than that in basal medium. Approximately 99% of validity of the predicted value was achieved.