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Semantic Information Fusion of Linked Open Data and Social Big Data for the Creation of an Extended Corporate CRM Database

机译：链接的开放数据和社交大数据的语义信息融合，以创建扩展的公司CRM数据库

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摘要

The amount of on-line available open information from heterogeneous sources and domains is growing at an extremely fast pace, and constitutes an important knowledge base for the consideration of industries and companies. In this context, two relevant data providers can be highlighted: the "Linked Open Data" and "Social Media" paradigms. The fusion of these data sources - structured the former, and raw data the latter -, along with the information contained in structured corporate databases within the organizations themselves, may unveil significant business opportunities and competitive advantage to those who are able to understand and leverage their value. In this paper, we present a use case that represents the creation of an existing and potential customer knowledge base, exploiting social and linked open data based on which any given organization might infer valuable information as a support for decision making. In order to achieve this a solution based on the synergy of big data and semantic technologies will be designed and developed. The first will be used to implement the tasks of collection and initial data fusion based on natural language processing techniques, whereas the latter will perform semantic aggregation, persistence, reasoning and retrieval of information, as well as the triggering of alerts over the semantized information.
机译：来自异构源和域的在线可用开放信息的数量正以极快的速度增长，并且构成了考虑行业和公司的重要知识库。在这种情况下，可以突出显示两个相关的数据提供者：“链接的开放数据”和“社交媒体”范例。这些数据源（前者为结构化数据，后者为原始数据）的融合，以及组织内部结构化的公司数据库中包含的信息，可能为那些能够理解和利用其资源的人带来巨大的商机和竞争优势值。在本文中，我们提出一个用例，代表创建一个现有的和潜在的客户知识库，利用社交和链接的开放数据，任何给定的组织都可以以此为基础推断出有价值的信息，以作为决策支持。为了实现这一目标，将设计和开发基于大数据和语义技术协同作用的解决方案。前者将用于基于自然语言处理技术来执行收集和初始数据融合的任务，而后者将执行语义聚合，信息的持久性，推理和检索，以及触发关于语义化信息的警报。

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