The development of the Internet in recent years has made it possible and useful to access
many different information systems anywhere in the world to obtain information. While there …

We present a method for measuring the semantic similarity of texts using a corpus-based
measure of semantic word similarity and a normalized and modified version of the Longest …

Approximate data matching is a central problem in several data management processes,
such as data integration, data cleaning, approximate queries, similarity search and so on. An …

Abstract Measuring Semantic Textual Similarity (STS), between words/terms, sentences,
paragraph and document plays an important role in computer science and computational …

Integrated information systems provide users and applications with a unified view of
heterogeneous data sources. To provide a single consistent result for every object …

The Web as a global information space is developing from a Web of documents to a Web of
data. This development opens new ways for addressing complex information needs. Search …

Heterogeneous and dirty data is abundant. It is stored under different, often opaque
schemata, it represents identical real-world objects multiple times, causing duplicates, and it …

Producing reliable information is the ultimate goal of data processing. The ocean of data
created with the advances of science and technologies calls for integration of data coming …

Many application scenarios can significantly benefit from the identification and processing of
similarities in the data. Even though some work has been done to extend the semantics of …

Group-by is a core database operation that is used extensively in OLTP, OLAP, and decision
support systems. In many application scenarios, it is required to group similar but not …