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Titlebook: Entity Resolution in the Web of Data; Vassilis Christophides,Vasilis Efthymiou,Kostas St Book 2015 Springer Nature Switzerland AG 2015

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發(fā)表于 2025-3-21 16:30:29 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Entity Resolution in the Web of Data
編輯Vassilis Christophides,Vasilis Efthymiou,Kostas St
視頻videohttp://file.papertrans.cn/312/311659/311659.mp4
叢書(shū)名稱Synthesis Lectures on Data, Semantics, and Knowledge
圖書(shū)封面Titlebook: Entity Resolution in the Web of Data; Vassilis Christophides,Vasilis Efthymiou,Kostas St Book 2015 Springer Nature Switzerland AG 2015
描述In recent years, several knowledge bases have been built to enable large-scale knowledge sharing, but also an entity-centric Web search, mixing both structured data and text querying. These knowledge bases offer machine-readable descriptions of real-world entities, e.g., persons, places, published on the Web as Linked Data. However, due to the different information extraction tools and curation policies employed by knowledge bases, multiple, complementary and sometimes conflicting descriptions of the same real-world entities may be provided. Entity resolution aims to identify different descriptions that refer to the same entity appearing either within or across knowledge bases.The objective of this book is to present the new entity resolution challenges stemming from the openness of the Web of data in describing entities by an unbounded number of knowledge bases, the semantic and structural diversity of the descriptions provided across domains even for the same real-world entities, as well as the autonomy of knowledge bases in terms of adopted processes for creating and curating entity descriptions. The scale, diversity, and graph structuring of entity descriptions in the Web of da
出版日期Book 2015
版次1
doihttps://doi.org/10.1007/978-3-031-79468-1
isbn_softcover978-3-031-79467-4
isbn_ebook978-3-031-79468-1Series ISSN 2691-2023 Series E-ISSN 2691-2031
issn_series 2691-2023
copyrightSpringer Nature Switzerland AG 2015
The information of publication is updating

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Matching and Resolving Entities,f data. These descriptions may provide ., and sometimes . information for the same entities. Understanding how two descriptions are related is an essential task to a number of . in the Web of data (e.g., searching, browsing). Due to the open number of KBs and their autonomy in publication and curati
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Conclusions,a of research. The problem has enjoyed a renaissance during recent years, with the avalanche of data-intensive descriptions of real-world entities provided on the Web by government, scientific, corporate or even user-crafted Knowledge Bases (KBs). To foster an . organization of Web data, it is cruci
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Experimental Evaluation of Blocking Algorithms, consideration the specific features of each dataset. Finally, we present the results of blocking when different kinds of links, other than ., are used as ground truth and conclude with a discussion of the lessons learned from this analysis.
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Conclusions,al to reconcile different descriptions, within or across KBs, that refer to the same real-world entity. In this Synthesis lecture, we presented why resolving entities at the Web scale still remains an important and open research problem.
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發(fā)表于 2025-3-23 05:31:37 | 只看該作者
2691-2023 ing both structured data and text querying. These knowledge bases offer machine-readable descriptions of real-world entities, e.g., persons, places, published on the Web as Linked Data. However, due to the different information extraction tools and curation policies employed by knowledge bases, mult
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