EAN: 9783031794674

SYNTHESIS LECTURES ON DATA SEMANTICS AND KNOWLE...

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
data essentially challenge how two descriptions can be effectively compared for similarity  but
also how resolution algorithms can efficiently avoid examining pairwise all descriptions.The
book covers a wide spectrum of entity resolution issues at the Web scale  including basic
concepts and data structures  main resolution tasks and workflows  as well as state-of-the-art
algorithmic techniques and experimental trade-offs.

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