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首页> 外文期刊>Journal of Intelligent Information Systems >Crowd Sourced Semantic Enrichment (CroSSE) for knowledge driven querying of digital resources
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Crowd Sourced Semantic Enrichment (CroSSE) for knowledge driven querying of digital resources

机译：人群采购语义富集（Crosse）用于知识驱动的数字资源查询

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摘要

Today, most information sources provide factual, objective knowledge, but they fail to capture personalized contextual knowledge which could be used to enrich the available factual data and contribute to their interpretation, in the context of the knowledge of the user who queries the system. This would require a knowledge framework which can accommodate both objective data and semantic enrichments that capture user provided knowledge associated to the factual data in the database. Unfortunately, most conventional DBMSs lack the flexibilities necessary (a) to prevent the data and metadata, evolve quickly with changing application requirements and (b) to capture user-provided and/or crowdsourced data and knowledge for more effective decision support. In this paper, we present Crowd-Sourced Semantic Enrichment (CroSSE) knowledge framework which allows traditional databases and semantic enrichment modules to coexist. CroSSE provides a novel Semantically Enriched SQL (SESQL) language to enrich SQL queries with information from a knowledge base containing semantic annotations. We describe CroSSE and SESQL with examples taken from our SmartGround EU project.
机译：今天，大多数信息来源都提供了事实，客观的知识，但它们未能捕获个性化的上下文知识，这些知识可用于丰富可用的事实数据并在查询系统的用户的知识的背景下促进他们的解释。这需要一个知识框架，该框架可以适应捕获用户提供与数据库中的事实数据相关联的知识的客观数据和语义富集。不幸的是，大多数传统DBMS缺乏必要的灵活性（a）来防止数据和元数据，通过更改应用要求和（b）来捕获用户提供的和/或众群数据和知识以获得更有效的决策支持。在本文中，我们呈现人群源性语义浓缩（Crosse）知识框架，允许传统数据库和语义富集模块共存。 Crosse提供了一种新颖的语义富集的SQL（SESQL）语言，以通过来自包含语义注释的知识库的信息来丰富SQL查询。我们描述了克罗斯特和SESQL，并从我们的Smartground欧盟项目中取出了例子。

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