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Database And Information-retrieval Methods For Knowledge Discovery

机译:用于知识发现的数据库和信息检索方法

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We have presented motivations for and approaches toward integrating the historically separated DB and IR methodologies. While deep DB/IR integration may be wishful thinking, at least for the time being, we observe strong trends toward adopting IR concepts in the DB world and vice versa. In addition to applications that must be able to manage structured and unstructured data or highly heterogeneous information sources, we also see increasing interest and success inrnextracting entities and relationships from text sources. The envisioned path toward automatically building and growing comprehensive knowledge bases with expressive search and ranking capabilities may take a long time to mature. In any case, it is an exciting and rewarding challenge that should appeal to and benefit from innovation in several research communities, most notably DB and IR.
机译:我们提出了整合历史上分离的数据库和IR方法论的动机和方法。尽管深度DB / IR集成可能是一厢情愿的想法,但至少在目前,我们观察到在DB世界中采用IR概念的强烈趋势,反之亦然。除了必须能够管理结构化和非结构化数据或高度异构的信息源的应用程序之外,我们还看到越来越感兴趣和成功地从文本源中提取实体和关系。自动构建和发展具有表达能力的搜索和排名功能的综合知识库的设想路径可能需要很长时间才能成熟。无论如何,这是一个激动人心且有意义的挑战,应该吸引并受益于几个研究社区的创新,尤其是DB和IR。

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