语义搜索

基于P2P的结构化半分布式语义搜索算法

Semantic search algorithm based on structured half-distributed P2P network

在本文中，将介绍语义搜索，并执行必要的步骤来启用EasySemanticSearch功能，对电话号码进行搜索。

In this article , get an introduction to semantic search and follow the necessary steps to enable the Easy Semantic Search functionality with an example processing of telephone numbers .

推理是实现语义搜索的基础，描述逻辑已经成为了语义Web的逻辑基础。

Description logic has become the logic base for Semantic Web .

问答式检索和问答系统（QuestionAnsweringSystem）就是其中一个重要的研究课题，也是研究下一代语义搜索引擎的重要研究方向。

Question Answering ( QA ) system has been an important research topic which is the important research direction for next generation search engines .

搜索引擎很难通过语义搜索Web信息，主要是因为Web上大多数信息是以人类用户可读和可理解的形式存在的。

Search engines to search the Web information through semantic is very difficult , because that most of the information on the Web is completely user-readable and human understandable .

一种基于本体的具有语义搜索功能的E-learning模型

An E-learning Model with Semantic-search Function Based on Ontology

提出了基于CDSS的语义搜索算法。

Proposed cloud-based semantic search .

公司官员厄尔·雷尼森（EarlRennison）表示，被称为语义搜索的计算机程序能够处理大量信息。

Company official Earl Rennison says computer programs called " semantic search " are able to process huge amounts of information .

公司官员EarlRennison说，公司使用名为“语义搜索”的程序来处理大量数据，包括数百万份简历，来将技术工人与职位空缺联系起来。

Company official Earl Rennison says computer programs called " semantic search " are able to process huge amounts of in formation . That in cludes millions of resumes , to help connect skilled people with open jobs .

语义搜索正是用来解决这一问题的关键技术。

Semantic Search is a key technology to solve this problem .

研究了结合不同网页时间的搜索结果排序算法，提出了三种适合不同时态语义搜索的网页排序算法。

We proposed three types of ranking algorithms suitable for different temporal search .

传统搜索引擎与语义搜索引擎比较研究

Comparative Study on Common and Semantic Search Engines

给出了一种基于分组的语义搜索方法-GBSS。

A group-based semantic search method-GBSS was presented .

基于语义搜索的语音交互系统模型研究

Voice interaction system model based on semantic search

但并不能完全适用于语义搜索。

However it is not fully applicable .

语义搜索引擎概念模型

A Conceptual Model for Semantic Search Engine

这种方法可以被用来解决大型图像数据库中的语义搜索问题。

Automatic image annotation can be used to facilitate semantic search in large image databases .

基于元数据的语义搜索技术研究

A Study on Metadata-based Semantic Search Technology

基于概念图匹配的语义搜索

Semantic Search by Matching Conceptual Graphs

语义搜索要求文本分析组件分析文档的概念相关性并创建可搜索的元数据。

Semantic search requires text analysis components to analyze documents for concepts of relevance and create searchable metadata .

对供需智能匹配的关键字搜索算法和语义搜索算法进行了分析和比较。

Keyword search algorithm of supply and demand of intelligent matching and semantic search algorithm are analyzed and compared .

本体是概念、属性及其相互关系的网络，是语义搜索的基础。

Ontology is a network including notions , properties and relations , ontology is the base of semantic web .

第三章主要是对语义搜索用户的行为模式研究，并对研究数据进行分析。

The third chapter is the research on the semantic search user behavior , and research on the data analysis .

第四章提出了语义搜索代理产品的设计理念，并构建了语义搜索代理的用户交互模型。

Chapter four proposed the semantic search agent product design concept and build a semantic search agent user interaction model .

语义搜索引擎将检索策略从传统的关键词层面上升到语义层面，结合智能推理技术，改善搜索的性能。

The search strategy of semantic search engine improves from traditional keyword level up to semantic level , with intelligent reasoning .

雷尼森表示，语义搜索旨在从关键字周边的单词或词组中找到合适的匹配。

Earl Rennison says semantic search is designed to choose the right match from the words or expressions around a key word .

模型支持灵活的语义搜索，拥有良好的可扩展性，保证任意节点的路由都能覆盖全网络。

The model supports flexible semantic search and high scalability , and ensures that each node can reach any corner of the network .

2008年，他开始研究一种语义搜索引擎，使它从不同来源搜集数据，为直接的提问题和查询提供答案。

In2008 , he started working on a semantic search engine that collects data from different sources and gives answers to direct questions and queries .

分布式缓存主要是提高平台服务语义搜索的效率，加入缓存后，服务平均语义搜索时间减少了10倍。

Distributed caching is mainly to improve the efficiency of semantic search . using the cache , the semantic search time reduces to one-tenth of the original .

近些年来，将本体技术应用于搜索引擎当中创造出的基于本体的语义搜索引擎开始受到人们的关注。

In recent years , people concern more on the usage of ontology in search engine to create a more intelligent search and solve the above problem .