一种改进的基于文档结构的信息检索方法

传统信息检索方法忽视了文档结构对信息检索过程的影响.本文提出了一种改进的基于文档结构的信息检索方法,该方法首先使用第一类特征域对检索文档集进行过滤,然后使用第二类特征域进行匹配排序;引入AHP方法动态确定各特征域的重要性权重因子;最后使用向量内积计算的方法合成总相似度值.实验结果表明该方法可以提高信息检索的查准率和检索结果的排序合理性.     

置换矩阵的两种等价类

给出了置换矩阵的迹类和置换相似类,这两种类价类能有效地展示置换阵矩阵的内部格局,深化其认识。     

两种方法评价不同高度涡度相关系统的观测结果

主要通过常规气象参数、湍流特性和能量闭合度对2套涡度相关系统的观测结果进行了比较研究.对2层高度湍流特性的研究中,以相似理论为基础,分析了垂直风速的标准差和稳定度参数zL(观测高度与莫宁霍夫长度比值)的关系,2层观测结果对垂直风速的标准差和稳定度参数zL的模拟方程显示23m观测数据的模拟结果更符合通用方程的经验参数.最后对2层高度的半年时间内(20030101)～(20030630)总体能量闭合度和能量闭合度的时间变化趋势作了对比研究.结果表明,39m观测结果的总体能量闭合度要高于23m的总体能量闭合度;但从各自的能量闭合度的时间变化来看,23m在冬季的能量闭合度要高于39m,而在春季39m的能量闭合度要高于23m.     

A concept–relationship acquisition and inference approach for hierarchical taxonomy construction from tags

Taxonomy construction is a resource-demanding, top–down, and time consuming effort. It does not always cater for the prevailing context of the captured information. This paper proposes a novel approach to automatically convert tags into a hierarchical taxonomy. Folksonomy describes the process by which many users add metadata in the form of keywords or tags to shared content. Using folksonomy as a knowledge source for nominating tags, the proposed method first converts the tags into a hierarchy. This serves to harness a core set of taxonomy terms; the generated hierarchical structure facilitates users’ information navigation behavior and permits personalizations. Newly acquired tags are then progressively integrated into a taxonomy in a largely automated way to complete the taxonomy creation process. Common taxonomy construction techniques are based on 3 main approaches: clustering, lexico-syntactic pattern matching, and automatic acquisition from machine-readable dictionaries. In contrast to these prevailing approaches, this paper proposes a taxonomy construction analysis based on heuristic rules and deep syntactic analysis. The proposed method requires only a relatively small corpus to create a preliminary taxonomy. The approach has been evaluated using an expert-defined taxonomy in the environmental protection domain and encouraging results were yielded.     

基于特征向量的中文文献相似度评价

科技文献抄袭现象伴随着科学技术的发展时有发生,这严重损害了文献原作者,也对科技文献的严肃性提出了挑战。本文利用分词技术提取文献特征向量,并结合动态规划算法对文献的相似度给出具体评价,针对不同抄袭的现象,发现其中存在的规律,具体问题具体分析。最后给出实际实验结果,为文献评审提供参考。     

信息检索技术综述

在现有研究的基础上,对信息检索技术进行概述,首先对基于关键词匹配的信息检索技术进行了讨论,并指出其不足。其次针对关键词检索中存在的问题对两类语义检索进行了研究,实现了把信息检索从基于关键词层面提高到知识层面。     

面向数字图书馆的本体学习研究

面向语义Web的智能数字图书馆的实现很大程度上依赖于本体的建立,本体与数字图书馆中的数字资源采集、数字馆藏和用户访问网关都密切相关。在本体构建方面,目前存在的绝大多数本体都是手工生成的,该方法效率低、出错率高,更难以维护和更新。这对语义级数字图书馆的实现造成了巨大的障碍。为此提出了一种面向数字图书馆的本体学习方法GOLF,通过对各专业领域中大量的Web文档集和语料库进行挖掘来实现本体学习,并分别讨论了本体学习中本体概念的抽取、概念之间语义关系的抽取和分类体系的自动构建等关键技术。     

Criminal Action Graph: A semantic representation model of judgement documents for legal charge prediction

Semantic information in judgement documents has been an important source in Artificial Intelligence and Law. Sequential representation is the traditional structure for analyzing judgement documents and supporting the legal charge prediction task. The main problem is that it is not effective to represent the criminal semantic information. In this paper, to represent and verify the criminal semantic information such as multi-linked legal features, we propose a novel criminal semantic representation model, which constructs the Criminal Action Graph (CAG) by extracting criminal actions linked in two temporal relationships. Based on the CAG, a Graph Convolutional Network is also adopted as the predictor for legal charge prediction. We evaluate the validity of CAG on the confusing charges which composed of 32,000 judgement documents on five confusing charge sets. The CAG reaches about 88% accuracy averagely, more than 3% over the compared model. The experimental standard deviation also show the stability of our model, which is about 0.0032 on average, nearly 0. The results show the effectiveness of our model for representing and using the semantic information in judgement documents.     

中国与东盟纺织品服装贸易发展前景及对策分析

我国的纺织品发展是引人关注的,配额制更是我国纺织品发展过程中的一个代表性产物。随着我国经济发展的深层次化,纺织品服装业也发生了显著的变化。属于典型的劳动密集型产业的纺织服装业在我国逐渐走向“衰弱”,而在与此相应的东盟各国却得到了飞速发展。在中国和东盟积极筹建中国———东盟自由贸易区的背景下,应认真分析我国与东盟主要国家纺织服装业对外贸易与双边贸易的现状,以及我国和东盟此行业的竞争关系,以提高我国纺织服装行业的竞争力并在加强区域经济合作的基础上采取相应的策略,以达到最终质的转变及双赢的目的。     

WCONS+:一种基于WCONS的本体集成

提出一种本体集成方法WCONS+,将本体集成过程分为准备、映射、集成和检测4个阶段,并通过集成军用飞机本体和电子对抗装备本体对这一方法进行了实验,结果初步证明该方法的有效性。