Type-theoretic Means for Querying Heterogeneous Data Sources Available via Cloud APIs

Querying Heterogeneous Information Sources

We witness a rapid increase in the number of structured information sources that are available online, especially on the WWW. These sources store interrelated data on topics such as product information, stock market information, entertainment , etc. We would like to use the data stored in these databases to answer complex queries that go beyond keyword searches. We describe the Information Mani...

Adaptive relaxation for querying heterogeneous XML data sources

Searching XML data with a structured XML query can improve the precision of results compared with a keyword search. However, the structural heterogeneity of the large number of XML data sources makes it difficult to answer the structured query exactly. As such, query relaxation is necessary. Previous work on XML query relaxation poses the address this issue, we propose an adaptive relaxation ap...

SINGAPORE: A system for querying heterogeneous data sources

SINGAPORE (SINGle Access POint for heterogeneous data REposiotries) is a system for querying data sources which are structurally heterogeneous, i.e. they contain structured, semistructured and/or unstructured data. Its main focus is on o ering a uni ed query language, so that retrieving information can be supported by the traditional task of database querying, but also by a more vague or \fuzzy...

Querying distributed heterogeneous structured and semi-structured data sources

Price-Optimal Querying with Data APIs

Data is increasingly being purchased online in data markets and REST APIs have emerged as a favored method to acquire such data. Typically, sellers charge buyers based on how much data they purchase. In many scenarios, buyers need to make repeated calls to the seller’s API. The challenge is then for buyers to keep track of the data they purchase and avoid purchasing the same data twice. In this...