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关键词： 语义组织   语义服务   语义模型   可视化分析   芬兰语义计算研究小组  

摘要： 利用语义网技术对信息资源进行语义组织,提供语义检索、语义集成和语义共享等深层次语义服务,已成为知识组织和服务的趋势。国外已有许多研究和服务机构开展信息资源语义组织和语义服务实践,其中以芬兰语义计算研究小组(SeCo)项目实践最具代表性和前沿性。文章从资源类型与标注深度、语义模型、语义数据构建与集成、语义服务这四个方面,对SeCo实践进行分析,研究发现:语义组织的对象从书目向非书目信息资源扩展;语义标注的深度从外部特征向内容语义深入;信息资源的覆盖范围从单一领域向多领域扩展;语义服务从文本向图像可视化发展;语义服务从单一向多样化发展。

关键词： 传播效果   搜索引擎   大数据  

摘要： 利用搜索引擎检索出的新闻条目,分析得出新闻传播效果、新闻传播路径,可以作为新闻质量、影响力分析的一个重要参数。本文详细讨论了可行性和大体的实现步骤,并对其优劣进行了分析。

关键词： Paid Search   Perceived Advertising Effectiveness   Resource-Based Theory (RBT)   Search Engine Advertising (SEA) Effectiveness   Sponsored Search  

摘要： Search engine advertising (SEA), in which businesses (or advertisers) bid on keywords and pay search engine providers (e.g. Google) to get a secure place on the first page of search results, is a prominent source of revenue for search engine companies, and an effective method for businesses to promote their visibility on the Web. SEA is a complex and dynamic form of advertising and managing it effectively is still a challenge for many businesses, particularly smaller businesses. Building upon resource-based theory, this study has developed a context-specific model for understanding advertisers' competency factors that influence SEA effectiveness. Using structural equation modelling and survey data collected from 142 businesses, this research has found that SEA effectiveness is influenced by organizations' ability to manage keywords and bids, ability to analyse and monitor outcomes, advertising expertise, commitment to SEA task, and the use of external experts. Moderating relationships between the factors have been examined, and the implications of the findings for both academics and practitioners have been discussed.

摘要： Do online search engines aid or hinder our efforts to find relevant and reliable information on a topic? Halavais addresses this question in the second edition of Search Engine Society pointing out in the Introdction that 'search reduces the amount of information available to us, and in doing so introduction bias' (p. 1).

关键词： Clinical decision support   Precision medicine   Knowledge bases   Bayesian inference   Information retrieval  

摘要： By providing clinicians with information regarding treatment options for molecular sub-types of complex diseases with genetic origin, such as cancer, information retrieval (IR) systems play an important role in precision medicine. In this paper, we propose Bayesian Precision Medicine (BPM), a novel probabilistic framework for query expansion in information retrieval systems for Clinical Decision Support (CDS) in Precision Medicine (PM). Such systems can assist clinicians with selecting personalized treatment of complex diseases based on the patients' genomic data, such as gene mutations. In particular, we focus on a clinical decision support scenario in which clinicians provide two types of information in their queries: (1) short description of a patient's case, which may contain information regarding the type of cancer that a patient has as well as symptoms and demographics, and (2) gene mutations, which may contain gene names, mutation code and type of mutation. The goal of an IR system in this scenario is to rank biomedical articles from a large collection, such as the MEDLINE, based on their relevance to the provided query. One of the main challenges faced by IR systems in this scenario is semantic matching of heterogeneous information (gene names, medical terminology and other query keywords) in queries and relevant biomedical articles. To address this challenge, we propose a probabilistic framework that enables mapping gene mutations provided in a given query onto the biomedical concepts that are related to the entire query and can be effectively utilized for query expansion. The BPM obtains candidate query expansion concepts from biomedical knowledge bases, the Unified Medical Language System (UMLS) and the Drug-Gene Interaction Database (DGIdb), as well as the top-ranked MEDLINE articles retrieved for the original query. The BPM then utilizes information from the Catalog of Somatic Mutations in Cancer (COSMIC) and co-occurrence statistics in MEDLINE to asses

关键词： 局域网   信息资源  

摘要： 随着信息化的发展,网络已经成为城市基础数据通信网建设中不可或缺的一部分,信息化也越来越完善。电脑软件也给事业单位带来了极大的方便,同时,各事业单位的内部自动化网络建设也面临着许多需要改进的问题。