Current crawler-based search engines usually return a long list of search results containing a lot of noise documents. By indexing collected documents on topic path in taxonomy, t...
We propose a new method for handwritten word-spotting which does not require prior training or gathering examples for querying. More precisely, a model is trained "on the fly...
Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...
The SQL queries produced in XML-to-SQL query translation are often unnecessarily complex, even for simple input XML queries. In this paper we argue that relational systems can do ...
The Web has evolved from a global information space of linked documents to a web of linked data. The Web of Data enables answering complex, structured queries that could not be an...