一种基于情感词典和朴素贝叶斯的中文文本情感分类方法*

基于朴素贝叶斯理论提出了一种新的中文文本情感分类方法。这种方法利用情感词典对文本进行处理和表示,基于朴素贝叶斯理论构建文本情感分类器,并以互联网上宾馆中文评论作为分类研究的对象。实验表明,使用提出的方法构成的分类器具有分类速度快、分类准确度高、鲁棒性强等特点,并且适合于大量中文文本情感分类应用系统。     

Exploiting Ontology for Software License Agreements

Software end-users need to sign licenses to seal an agreement with the product providers. Habitually, users agree with the license (i.e. terms and conditions) without fully understanding the agreement. To address this issue, an ontological model is developed to formulate the user requirements and license agreements formally. This paper, introduces ontological model that includes the abstract license ontology of common features found in di?erent license agreements. The abstract license ontology is then extended to a few real world license agreements. The resulting model can be used for di?erent purposes such as querying the appropriate licenses for a speciˉc requirement or checking the license terms and conditions with user requirements.     

Web-Based Semantic Similarity: An Evaluation in the Biomedical Domain

Computation of semantic similarity between concepts is a very common problem in many language related tasks and knowledge domains. In the biomedical field, several approaches have been developed to deal with this issue by exploiting the structured knowledge available in domain ontologies (such as SNOMED-CT or MeSH) and specific, closed and reliable corpora (such as clinical data). However, in recent years, the enormous growth of the Web has motivated researchers to start using it as the corpus to assist semantic analysis of language. This paper proposes and evaluates the use of the Web as background corpus for measuring the similarity of biomedical concepts. Several ontology-based similarity measures have been studied and tested, using a benchmark composed by biomedical terms, comparing the results obtained when applying them to the Web against approaches in which specific clinical data were used. Results show that the similarity values obtained from the Web for ontology-based measures are at least and even more reliable than those obtained from specific clinical data, showing the suitability of the Web as information corpus for the biomedical domain.     

智能电网建设中的无功优化技术

为消除传统无功补偿设计方法所造成的布局不合理、利用率和效率低下等问题,电网无功优化与电压调节智能化无疑将是智能电网建设规划的重要组成部分.新的无功规划方案将涉及电网无功补偿布局、实时监测与调配、新型计量与考核.新的无功补偿优化体系将对相关产业产生巨大的影响.     

模糊粗糙逻辑语义及其推理

主要从粗糙集、模糊集、逻辑学等三个方面来定义模糊粗糙逻辑的概念,给出了带逻辑符号＂┑,∧,∨,→,＂的模糊粗糙逻辑的真值区间的运算。并分别从＂→,┑,∧,∨＂四个逻辑运算符研究了模糊粗糙逻辑的语义推理。     

智能电网建设时期的需求侧管理

电力需求侧管理从20世纪70年代以来已经逐渐成为发达国家电力行业规范管理模式,我国目前处在发展时期。国家电网“建设坚强的智能电网”工作针对需求侧管理制定“全覆盖、全采集、全预付费”的总体目标,这是智能电网建设的重点环节,其推行对智能电网建设的目标起着举足轻重的作用,建设与发展必须与智能电网的长远规划保持高度一致。本文分析了传统需求侧管理的特点及局限性,以及为配合智能电网建设工作的开展,基于智能电网构架下电力需求侧管理所需的技术变革。     

智能电网建设的产业带动效应分析

电网在电力工业运行中处于枢纽和中介地位,是国民经济的重要组成部分。自然垄断性决定了电网建设具有范围经济性、规模经济性。根据乘数效应,对电网的投资将带动相关产业的发展。智能电网投资建设将在扩内需、调结构和促发展方面发挥重要作用。     

坚强智能电网是建设陕西能源强省的重要依托

文章结合智能电网的研究,详细分析了陕西资源和经济发展的突出特征,结合智能电网建设对陕西新能源接入的影响,分析了坚强智能电网对陕西实现资源转化,确立能源强省战略的推动作用。     

网格环境中基于p-中值选址的副本放置算法

针对现有的副本放置中存在的问题,基于p-中值选址的方法,提出了一种动态的多副本放置算法.该算法预先设置副本的数量,根据网络带宽、存储空间和文件请求次数等条件,求解目标函数--全局费用的最小化,从而确定副本的位置,并随着网格环境的变化而调整.采用Optor-Sim模拟器实验,分析了副本数量、存储空间与副本放置的关系.结果表明:与LRU和基于经济模型的方法相比,该算法能减少数据访问时间和网络利用率.     

《汉语大词典》补正

《汉语大词典》是当今规模最大、收词最为丰赡的大型语文辞书,但由于编写时种种条件的限制和多种因素的影响,尚存在种种缺失。本文根据佛经语料在汉语词汇研究和辞书编纂中的作用,对照《汉语大词典》的实际情况,用实例说明《汉语大词典》未能充分利用佛经语料而导致的“词语失收”、“义项缺失”、“书证过晚”三个方面的缺失,以引起人们对佛经语料的重视。