semantic relationship造句
例句與造句
- semantic relationships and second language acquisition
語義關(guān)系與第二語言詞匯習(xí)得 - a new approach to the classification of turning complex sentences by semantic relationship
轉(zhuǎn)折復(fù)句語義分類的新嘗試栽 - so . m . halper had presented a methodology based on the metaclass mechanism to incorporate the part-whole semantic relationships into oodbs
為此，m.halper等人提出了一種基于元類機(jī)制的，將部分-整體語義聯(lián)系集成到oodbs中的方法。 - wordnet, a project hosted by princeton university, has created a structured database of words and synonyms linked by their semantic relationships
并且只有當(dāng)您很好地定義了抽象模型時(shí)，它才能被用來生成構(gòu)成應(yīng)用程序設(shè)計(jì)編程方面的結(jié)果構(gòu)件。 - concept lattice's capability of catching the relationship between two sets can be used to get the semantic relationships among page sets based on usage
將概念格作為存儲(chǔ)頻繁頁面集的數(shù)據(jù)結(jié)構(gòu)，一方面是由于概念格關(guān)于兩個(gè)集合之間關(guān)系的描述有助于發(fā)現(xiàn)頁面集合基于用戶使用而產(chǎn)生的語義關(guān)聯(lián)。 - It's difficult to find semantic relationship in a sentence. 用semantic relationship造句挺難的
- at the same time, constructing of building model is realized by use of semantic relationship of object-oriented, which help for spatial analysis and query on building or building group
同時(shí)利用面向?qū)ο蟮恼Z義關(guān)系實(shí)現(xiàn)了建筑物模型的構(gòu)造表達(dá)，方便了以建筑物或建筑群為單元進(jìn)行空間分析與查詢。 - in this paper, two kinds of associates are established among the designing nodes, and realized with data structure on the base of s _ cad, which are the inherent relationship and the " semantic relationship "
在s_dbs的基礎(chǔ)上完成了兩種設(shè)計(jì)結(jié)點(diǎn)關(guān)聯(lián)關(guān)系的建立：固有關(guān)聯(lián)和“語義”關(guān)聯(lián)，并在數(shù)據(jù)結(jié)構(gòu)上作了實(shí)現(xiàn)。 - the article takes a peek into the tense issue in this special kind of sentence in the aspect of semantic relationship, and suggests two subtypes of the structure, each presenting different features
摘要在漢語兼語句內(nèi)部語義關(guān)系分析的基礎(chǔ)上對(duì)該類特殊句式的時(shí)體問題進(jìn)行探討，認(rèn)為兼語句在語義上可分為兩大類，各類在使用的時(shí)體形式上體現(xiàn)各不相同的特點(diǎn)。 - this thesis also proposes a similarity metric of classes and the combine method of the semantic relationship, and explores the optimization of semantic measurement . classes are key software components in an object-oriented software system
文中還提出了對(duì)oo類之間的語義關(guān)系進(jìn)行量化、壓縮的方法，并對(duì)oo類聚集中關(guān)系的類型語義的相對(duì)權(quán)重進(jìn)行了試驗(yàn)研究。 - or object-oriented data modeling techniques like omt . uml and cord / yourdon . part-whole semantic relationship is the familiar relationship between objects, but the popular commercial oodbs do not provide the built-in support for it
該聯(lián)系是現(xiàn)實(shí)世界中客觀實(shí)體之間常見的聯(lián)系，然而流行的商用面向?qū)ο髷?shù)據(jù)庫系統(tǒng)oodbs并沒有為這種聯(lián)系提供內(nèi)在(bulit-in)的支持。 - aiming at this problem, in this dissertation, we present a new methodology to incorporate part-whole semantic relationship into oodbs . our methodology is universal for there is no stringent requirement of oodbs
本文針對(duì)這一問題，在halper等人研究的基礎(chǔ)上提出了一種新的，將部分-整體語義聯(lián)系集成到oodbs中的方法，該方法對(duì)于oodbs本身沒有任何的限制，因此具有較廣泛的通用性。 - 2 . combined the science literature's features, we apply the degree of approaching and fuzzy semantic relationship between fuzzy sets to chinese text classification respectively, test and compare the two algorithms
結(jié)合科技文獻(xiàn)的結(jié)構(gòu)特點(diǎn)，將模糊集間的貼近度和模糊語義關(guān)聯(lián)度(fuzzysemanticrelationship)兩種概念的分類算法分別應(yīng)用于中文文本分類，測(cè)試并對(duì)比了這兩種算法的分類性能。 - our model has enhanced the ability to express the integrity of objects . part-whole semantic relationship plays an important role in modeling information models for complex application systems . this is true whether one employs traditional data modeling techniques like er
與傳統(tǒng)的建模技術(shù)(如er)，以及當(dāng)前流行的面向?qū)ο蠼＜夹g(shù)(如omt，uml和coad/yourdon等)一樣，部分-整體語義聯(lián)系在為復(fù)雜應(yīng)用系統(tǒng)建立模型時(shí)也起著重要的作用。 - through analyzing several current-prevailing geography information types and gis data formats, this paper proposes a both user-oriented and multi-resource-heterogeneous-information-system-oriented scheme that describes the urban space semantic information entity based on ontology . moreover, ontology-based topology and semantic relationship of the urban space entity are provided . this paper also presents a synthetic query model of ontology-driven space information and a methodology of semantic integration
本文在分析了國內(nèi)外流行的gis系統(tǒng)的地理信息類型和數(shù)據(jù)格式的基礎(chǔ)上，提出基于本體論的，面向用戶應(yīng)用、面向多源異構(gòu)信息系統(tǒng)的城市空間語義信息實(shí)體的描述方法，提出基于本體的城市空間實(shí)體拓?fù)潢P(guān)系及語義關(guān)系，確立了本體驅(qū)動(dòng)的空間信息的綜合查詢模型，以及語義信息集成方法。 - recent proposal have suggested web usage mining as an enabling mechanism to overcome the problem associated with more traditional web personalization techniques such as collaborative or content-based filtering . these problems include lack of scalability . reliance on subjective user ratings or static profiles, and the inability to capture a richer set of semantic relationships among objects . yet, usage-based personalization can be problematic when little usage data is available pertaining to some objects or when the site content changes regularly . for more effective personalization, both usage and content attributes of a site should be integrated into a web minging framwork and used by the recommendation engine in a uniform manner
為解決傳統(tǒng)技術(shù)中出現(xiàn)的這些問題，一些研究提出將web使用日志的挖掘應(yīng)用到個(gè)人化技術(shù)中。web使用記錄的挖掘雖然有諸多的優(yōu)點(diǎn)，卻不能適應(yīng)用戶的使用信息較難獲取及站點(diǎn)內(nèi)容經(jīng)常變化的情況。為了使個(gè)人化系統(tǒng)更有效，我們需要將web使用記錄的挖掘與web內(nèi)容挖掘集成到同一個(gè)結(jié)構(gòu)中，由推薦引擎以統(tǒng)一的方式使用他們。
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