Zobrazeno 1 - 10
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pro vyhledávání: '"Madnick, Stuart E"'
Autor:
Zhu, Hongwei, Madnick, Stuart E.
In this paper, we first identify semantic heterogeneities that, when not resolved, often cause serious data quality problems. We discuss the especially challenging problems of temporal and aggregational ontological heterogeneity, which concerns how c
Externí odkaz:
http://hdl.handle.net/1721.1/30208
The underlying assumptions for interpreting the meaning of data often change over time, which further complicates the problem of semantic heterogeneities among autonomous data sources. As an extension to the COntext INterchange (COIN) framework, this
Externí odkaz:
http://hdl.handle.net/1721.1/7436
The COntext INterchange (COIN) strategy is an approach to solving the problem of interoperability of semantically heterogeneous data sources through context mediation. COIN has used its own notation and syntax for representing ontologies. More recent
Externí odkaz:
http://hdl.handle.net/1721.1/7414
Autor:
Zhu, Hongwei, Madnick, Stuart E.
Many online services access a large number of autonomous data sources and at the same time need to meet different user requirements. It is essential for these services to achieve semantic interoperability among these information exchange entities. In
Externí odkaz:
http://hdl.handle.net/1721.1/7413
Autor:
Madnick, Stuart E.
Data quality issues have taken on increasing importance in recent years. In our research, we have discovered that many “data quality” problems are actually “data misinterpretation” problems – that is, problems with data semantics. In this p
Externí odkaz:
http://hdl.handle.net/1721.1/3861
Web aggregation has been available regionally for several years, but this service has not been offered globally. As an example, using multiple regional comparison aggregators, we analyze the global prices for a Sony camcorder, which differ by more th
Externí odkaz:
http://hdl.handle.net/1721.1/3679
The shift towards global networking brings with it many opportunities and challenges. In this paper, we discuss key technologies in achieving global semantic interoperability among heterogeneous information systems, including both traditional and web
Externí odkaz:
http://hdl.handle.net/1721.1/3683
The development of web technology has led to the emergence of web aggregation, a service that collects existing web data and turns them into more useful information. We review the development of both comparison and relationship aggregation and discus
Externí odkaz:
http://hdl.handle.net/1721.1/3682
While there are efforts to establish a single international accounting standard, there are strong current and future needs to handle heterogeneous accounting methods and systems. We advocate a context-based approach to dealing with multiple accountin
Externí odkaz:
http://hdl.handle.net/1721.1/3680