摘要：Legal English is characterized by the great number of legal terms,which cause difficulties for learners or translators to fully understand these legal concepts and to find equivalents in their native *** comprehend these special terms accurately,we need to resort to semantic taxonomy and frame semantics which provide cognitive frameworks to illustrate the semantic complexities of legal *** is high time as well as the first time to apply L?bner’s theory of semantic taxonomy and Fillmore’s frame semantics to interpret English legal *** to L?bner,meanings of some linguistic unit can be analyzed into three levels:expression meaning,utterance meaning and communicative meaning,corresponding with three types of equivalency:formal,semantic and *** dictionaries,as well as encyclopedias,have been trying to expose these three levels of meaning in the *** far as legal dictionaries are concerned,the job should be more complicated since legal terms embody unusual expression meaning though the expressions may take on common looks and the utterance meaning in addition to the functional meaning involve more intriguing legal procedures or *** abundance of legal language contributes to this complexity in interpreting legal ***’s theory and methodology of frame semantics pave the road to solving this *** paper provides examples of how to use the special methodology to do the interpretation for the purpose of promoting legal literacy.

摘要：The integration of the two fast-developing scientific research areas semantic Web and Web Mining is known as semantic Web Mining. The huge increase in the amount of semantic Web data became a perfect target for many researchers to apply Data Mining techniques on it. This paper gives a detailed state-of-the-art survey of on-going research in this new area. It shows the positive effects of semantic Web Mining, the obstacles faced by researchers and propose number of approaches to deal with the very complex and heterogeneous information and knowledge which are produced by the technologies of semantic Web.

摘要：In the proposal, a construction project memory process based on the semantic annotation is presented. A project Mem-ory concerns the representation and the identification of the experience acquired during projects realization. The main feature of this approach is that the semantic annotation is used to build a continuous semantic design rationale process. We propose in this paper, a semantic traceability in four stages (identifying, structuring, annotating and integrating). The identification and the structuring phases use a model called Extended Marguerite model which fully considers the objectives of the project memory. The annotation phase exploits the results of precedent phase to prepare the final phase. Examples are presented from a case study in an Algerian firm called ENMTP. The architecture supporting the modelling engine is presented. Finally, an evaluation of the degree of the semantic annotation brought by proposed process is given.

摘要：Low-dimensional representation is a convenient method of obtaining a synthetic view of complex datasets and has been used in various domains for a long time. When the representation is related to words in a document, this kind of representation is also called a semantic map. The two most popular methods are self-organizing maps and generative topographic mapping. The second approach is statistically well-founded but far less computationally efficient than the first. On the other hand, a drawback of self-organizing maps is that they do not project all points, but only map nodes. This paper presents a method of obtaining the projections for all data points complementary to the self-organizing map nodes. The idea is to project points so that their initial distances to some cluster centers are as conserved as possible. The method is tested on an oil flow dataset and then applied to a large protein sequence dataset described by keywords. It has been integrated into an interactive data browser for biological databases.

摘要：传统的信息检索已经不能适应校园网知识资源扩大的需要,基于语义的知识检索克服了它的缺陷。本文提出了一种基于semantic Web的校园网知识检索模型,把分散的知识资源整合,建立面向语义理解的数据模式,并对用户的检索请求进行推理,找出概念上的相关性,从而实现有效的智能检索。

摘要：根据赢性工学基本原理及方法对秋冬男式皮鞋的款式进行研究。采用调查问卷和集群分析法建立款式设计要素空间和意象语意空阃。在问卷调查法的基础上，采用语意差异法（SD，semantic Differential）进行综合分析，获得产品款式设计要素与意性词语间的关联性。

摘要：In Georgian the verbal form comprises the names expressing the subjective-objective references of certain quantity,which shows the representing signs to express the category of the subjective and objective ***,sometimes the subjective person is expressed by the sign of the objective person or vice versa,which is called inversion in Georgian *** are many options about the reason of *** static verbs are considered as the oldest verbs as believed by many *** are the verbs of feeling and owning;they are inverse,bipersonal and hold the dative *** think that inversion cannot be only explained with the static *** are the verbs,which are not static but are *** believe that it must be one and the same aspect in every case:perfect *** Indo-European languages,the verbs of the perfect semantics have been converted from the class of the lexical words into the grammar *** the Georgian language encountered the need to express the perfect forms respective to Indo-European languages,thus,the third series has been generated and it used the form as the model,belonging to the verbs of bipersonal non-transitional“perfect semantics”in *** form has been supplemented by preverb and has become dynamic and gradually acquired various semantic nuances characterizing the perfect tense:resultativity,will,evidentiality,interrogative and negative,*** our opinion such verbs are not the continuation of the I and II series;they are the standalone link of the verb system,namely the perfect group characterized with the dative construction,which is inverse and always bipersonal.

摘要：In order to improve the quality of web search,a new query expansion method by choosing meaningful structure data from a domain database is *** categories attributes into three different classes,named as concept attribute,context attribute and meaningless attribute,according to their semantic features which are document frequency features and distinguishing capability *** also defines the semantic relevance between two attributes when they have correlations in the *** it proposes trie-bitmap structure and pair pointer tables to implement efficient algorithms for discovering attribute semantic feature and detecting their semantic *** using semantic attributes and their semantic relevances,expansion words can be generated and embedded into a vector space model with interpolation *** experiments use an IMDB movie database and real texts collections to evaluate the proposed method by comparing its performance with a classical vector space *** results show that the proposed method can improve text search efficiently and also improve both semantic features and semantic relevances with good separation capabilities.

摘要：This study investigated the relationship between a subject’s evaluation of injection molding machines (IMMs) and formal design features using Kansei engineering. This investigation used 12 word pairs to evaluate the IMM configurations and employed the semantic differential method to explore the perception of 60 interviewees of 12 examples. The relationship between product feature design and corresponding words was derived by multiple regression analysis. Factor analysis reveals that the 12 examples can be categorized as two styles—advanced style and succinct style. For the advanced style, an IMM should use a rectangular form for the clamping-unit cover and a full-cover for the injection-unit. For the succinct style, the IMM configuration should use a beveled form for the safety cover and a vertical rectangular form for the clamping-unit cover. Quantitative data and suggested guidelines for the relationship between design features and interviewee evaluations are useful to product designers when formulating design strategies.

摘要：研究语义级的三维CAD建模方法,并在三维CAD智能培训平台上进行了应用。首先介绍了基于XML的数据级建模和基于Sem antic W eb的语义级建模;然后探讨了面向三维CAD的静态的几何特征建模和动态的造型过程建模;最后基于语义建模在三维CAD系统环境下开发了智能培训系统,验证了本文方法的有效性。