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Due to the decentralized nature of the Semantic Web, the same real-world entity may be described in various data sources with different ontologies and assigned syntactically distinct identifiers. In order to facilitate data utilization and consumption in the Semantic Web, without compromising the freedom of people to publish their data, one critical problem is to appropriately interlink such heterogeneous...
Data quality is a critical problem for the Semantic Web. We propose that the degree to which a triple deviates from similar triples can be an important heuristic for identifying errors. Inspired by data dependency, which has shown promise in database data quality research, we introduce Semantic Dependency to assess quality of Semantic Web data. The system first builds a summary graph for finding candidate...
To better support information integration on Semantic Web data with varying degrees of quality, this paper proposes an approach to detect triples which reflect some sort of error. In particular, erroneous triples may occur due to factual errors in the original data source, misuse of the ontology by the original data source, or errors in the integration process. Although diagnosing such errors is a...
Researchers have found that Word Sense Disambiguation (WSD) is useful for tasks such as ontology alignment. Many other Semantic Web applications could also be enhanced with WSD results of Semantic Web documents. A system that can provide reusable intermediate WSD results is desirable. Compared to the top sense or a rank of senses, an output of meaningful scores of each possible sense informs subsequent...
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