Languages embody a lot of words that are considered as synonyms, and people just take it for granted that such words are identical in meaning without any discrimination. However, a corpus-based approach to the study o...Languages embody a lot of words that are considered as synonyms, and people just take it for granted that such words are identical in meaning without any discrimination. However, a corpus-based approach to the study of the collocational behavior of the two frequently-used pairs of synonyms （selection and option, ill and sick） reveals significant discrepancies in the use of these two pairs of synonyms by Chinese English learners and native speakers. According to the analysis, the major problems lie in the current ways of vocabulary teaching and learning. This paper aims to highlight the important role of the corpus-based collocational research in English vocabulary teaching and learning. In the end, some suggestions concerning vocabulary teaching and leaming are put forward on the basis of corpus-based research.展开更多
This paper discusses the issue of the hidden curriculum in the setting of a language classroom. The author first talks about the definition of the hidden curriculum from a theoretical perspective and proposes her own ...This paper discusses the issue of the hidden curriculum in the setting of a language classroom. The author first talks about the definition of the hidden curriculum from a theoretical perspective and proposes her own working definition. She then elaborates on the reasons and main manifestations of the hidden curriculum from the teachers＇ and learners＇ angles respectively with examples taken from language classrooms. Based on some profound reflections, some feasible suggestions on how to minimize the negative impacts of the hidden curriculum are suggested. On the basis of the previous discussion, the author reaches a conclusion： Language teachers should not avoid or ignore the hidden curriculum existing in the language teaching processes; rather, they are expected to face it positively and try their very best to solve the problems it brings. A sound attitude towards the hidden curriculum can help language teachers better understand and implement the formal or official curriculum made by the school or the state.展开更多
The paper considers the problem of semantic processing of web documents by designing an approach, which combines extracted semantic document model and domain- related knowledge base. The knowledge base is populated wi...The paper considers the problem of semantic processing of web documents by designing an approach, which combines extracted semantic document model and domain- related knowledge base. The knowledge base is populated with learnt classification rules categorizing documents into topics. Classification provides for the reduction of the dimensio0ality of the document feature space. The semantic model of retrieved web documents is semantically labeled by querying domain ontology and processed with content-based classification method. The model obtained is mapped to the existing knowledge base by implementing inference algorithm. It enables models of the same semantic type to be recognized and integrated into the knowledge base. The approach provides for the domain knowledge integration and assists the extraction and modeling web documents semantics. Implementation results of the proposed approach are presented.展开更多
To support the rapid automatic services composition and fulfill multi-quality of service （multi- QoS） demand, we propose a novel approach to realize services composition automatically by a prefihering process. Aimed...To support the rapid automatic services composition and fulfill multi-quality of service （multi- QoS） demand, we propose a novel approach to realize services composition automatically by a prefihering process. Aimed at a set of web services with similar functionality and different quality of service （QoS） , a semantic services chain is given and a corresponding constructing algorithm is proposed to construct the data structure. A pre-filtering process is put forward to find whether a composition service before planning exists. It can avoid aborted planning. An optimal planning algorithm is proposed which can choose the most suitable service from a lot of similar candidate services based on semantic service chains and multi-QoS values. The algorithms can improve the correctness and automation performances of automated semantic web services composition. As an example, a concrete composite process is analyzed. Experimental results show the validity of the composite process.展开更多
Identification of disease-causing genes among a large number of candidates is a fundamental challenge in human disease studies.However,it is still time-consuming and laborious to determine the real disease-causing gen...Identification of disease-causing genes among a large number of candidates is a fundamental challenge in human disease studies.However,it is still time-consuming and laborious to determine the real disease-causing genes by biological experiments.With the advances of the high-throughput techniques,a large number of protein-protein interactions have been produced.Therefore,to address this issue,several methods based on protein interaction network have been proposed.In this paper,we propose a shortest path-based algorithm,named SPranker,to prioritize disease-causing genes in protein interaction networks.Considering the fact that diseases with similar phenotypes are generally caused by functionally related genes,we further propose an improved algorithm SPGOranker by integrating the semantic similarity of gene ontology(GO)annotations.SPGOranker not only considers the topological similarity between protein pairs in a protein interaction network but also takes their functional similarity into account.The proposed algorithms SPranker and SPGOranker were applied to 1598 known orphan disease-causing genes from 172 orphan diseases and compared with three state-of-the-art approaches,ICN,VS and RWR.The experimental results show that SPranker and SPGOranker outperform ICN,VS,and RWR for the prioritization of orphan disease-causing genes.Importantly,for the case study of severe combined immunodeficiency,SPranker and SPGOranker predict several novel causal genes.展开更多
文摘Languages embody a lot of words that are considered as synonyms, and people just take it for granted that such words are identical in meaning without any discrimination. However, a corpus-based approach to the study of the collocational behavior of the two frequently-used pairs of synonyms （selection and option, ill and sick） reveals significant discrepancies in the use of these two pairs of synonyms by Chinese English learners and native speakers. According to the analysis, the major problems lie in the current ways of vocabulary teaching and learning. This paper aims to highlight the important role of the corpus-based collocational research in English vocabulary teaching and learning. In the end, some suggestions concerning vocabulary teaching and leaming are put forward on the basis of corpus-based research.
文摘This paper discusses the issue of the hidden curriculum in the setting of a language classroom. The author first talks about the definition of the hidden curriculum from a theoretical perspective and proposes her own working definition. She then elaborates on the reasons and main manifestations of the hidden curriculum from the teachers＇ and learners＇ angles respectively with examples taken from language classrooms. Based on some profound reflections, some feasible suggestions on how to minimize the negative impacts of the hidden curriculum are suggested. On the basis of the previous discussion, the author reaches a conclusion： Language teachers should not avoid or ignore the hidden curriculum existing in the language teaching processes; rather, they are expected to face it positively and try their very best to solve the problems it brings. A sound attitude towards the hidden curriculum can help language teachers better understand and implement the formal or official curriculum made by the school or the state.
文摘The paper considers the problem of semantic processing of web documents by designing an approach, which combines extracted semantic document model and domain- related knowledge base. The knowledge base is populated with learnt classification rules categorizing documents into topics. Classification provides for the reduction of the dimensio0ality of the document feature space. The semantic model of retrieved web documents is semantically labeled by querying domain ontology and processed with content-based classification method. The model obtained is mapped to the existing knowledge base by implementing inference algorithm. It enables models of the same semantic type to be recognized and integrated into the knowledge base. The approach provides for the domain knowledge integration and assists the extraction and modeling web documents semantics. Implementation results of the proposed approach are presented.
基金Supported by the National Natural Science Foundation of China （No. 61201252, 60775037） , Humanities and Social Sciences Foundation of the Ministry of Education （No. 10YJC870046 ）, Natural Science Research Key Project of Anhui Provincial Higher Education （No. KJ2011 A128） , Soft Science Project of Anhui Province （ No. 11020503009）.
文摘To support the rapid automatic services composition and fulfill multi-quality of service （multi- QoS） demand, we propose a novel approach to realize services composition automatically by a prefihering process. Aimed at a set of web services with similar functionality and different quality of service （QoS） , a semantic services chain is given and a corresponding constructing algorithm is proposed to construct the data structure. A pre-filtering process is put forward to find whether a composition service before planning exists. It can avoid aborted planning. An optimal planning algorithm is proposed which can choose the most suitable service from a lot of similar candidate services based on semantic service chains and multi-QoS values. The algorithms can improve the correctness and automation performances of automated semantic web services composition. As an example, a concrete composite process is analyzed. Experimental results show the validity of the composite process.
基金supported in part by the National Natural Science Foundation of China(61370024,61428209,61232001)Program for New Century Excellent Talents in University(NCET-12-0547)
文摘Identification of disease-causing genes among a large number of candidates is a fundamental challenge in human disease studies.However,it is still time-consuming and laborious to determine the real disease-causing genes by biological experiments.With the advances of the high-throughput techniques,a large number of protein-protein interactions have been produced.Therefore,to address this issue,several methods based on protein interaction network have been proposed.In this paper,we propose a shortest path-based algorithm,named SPranker,to prioritize disease-causing genes in protein interaction networks.Considering the fact that diseases with similar phenotypes are generally caused by functionally related genes,we further propose an improved algorithm SPGOranker by integrating the semantic similarity of gene ontology(GO)annotations.SPGOranker not only considers the topological similarity between protein pairs in a protein interaction network but also takes their functional similarity into account.The proposed algorithms SPranker and SPGOranker were applied to 1598 known orphan disease-causing genes from 172 orphan diseases and compared with three state-of-the-art approaches,ICN,VS and RWR.The experimental results show that SPranker and SPGOranker outperform ICN,VS,and RWR for the prioritization of orphan disease-causing genes.Importantly,for the case study of severe combined immunodeficiency,SPranker and SPGOranker predict several novel causal genes.
