semantic reconciliation

英辞郎では「意味的調和」だったが、IT関連ではそれはちょっと厳しいなあ。
「セマンティック レコンシリエイション」はよけいわからないし。。。

●Tools and Solutions for Semantic Reconciliation　　KLICT-project: ChaSe: Chain Services in ICT (FY-077)
https://doc.telin.nl/dscgi/ds.py/Get/File-22331/semantic_reconciliation_in_supply_chain_information_services.pdf

1.2 Semantic reconciliation challenge

One of the major problems in developing these kind of supply chain information services
is that the collection process has to deal with heterogeneous data sources, fragmentation
or incompleteness of information and possibly out-of-order and time-shifted data. In
order to offer end-users of the different services coherent views on this information, data
has to be cleansed, harmonized, reconciled and combined. The most intriguing part of
this information integration process is definitely to reconcile information with different
semantic frames of reference.

In the last decades, the focus of many enterprise information systems has been on
connecting information sources via networks, and on transforming information structures
automatically for different purposes, but understanding the information is still a task
reserved for humans who are aware of the context in which particular information was
generated. This highest level of integration is called semantic reconciliation (or semantic
integration). For automated systems, semantic reconciliation is still a hard nut to crack.

8.1 Definition

The following definition of semantic reconciliation is given within the scope of the ChaSe project.

　　Semantic reconciliation (is the process which) endeavors to understand 
　　the meaning of relevant information items in data from heterogeneous data sources, 
　　and to bring these information items in correspondence with an existing semantic data model.

These information items include ?but are not restricted to- names, nouns, verbs, codes,
classifications, measures, and references. Both, information items and data are supposed
to be structured in one or another form. This form is called a schema. The preceding
chapters in this document provide more information on the syntactical and structural
requirements to these schemas and the associated syntactical and structural integration
challenges, issues and solutions. Note that nearly always the underlying syntactical and
structural integration are a necessary part of the overall reconciliation process.

Semantic schema integration deals with either the merging of different conceptual
schemas or a mapping of a conceptual schema on a conceptual reference or master
schema.