Computing query sets for better exploring raw data collections

Figure 2 shows our general approach based on query rewriting techniques and summarised as follows: "given an initial query, provide sets of queries that can help data

Fiscal federalism theorists provide the theory concerning the division of responsibilities over the provision of these public goods between central and

Given an original query q = {w q1 , ..., w qn }, the process of expanding q is three- fold: (1) retrieving relevant tweets answering q using a retrieval model, (2) se- lecting a set

(Extensions of both query language and DL are considered in [7].) The probabilistic component follows the semantics of probabilistic ABoxes from [6], which itself is based on

– Query writing for the expert, exploiting the capacity of the underlying conceptual models and gathering best practices from similar systems, – Discovery of metadata

She also sees that employee Dave ran the related queries, contacts him and ensures data minimization regarding data collection.. 4

Query answering is achieved via: (i) computing the perfect rewrit- ing with respect to the ontology; the original query is reformulated so as to obtain a sound and complete answer

Both the Biological Collections Ontology (BCO) and the Ontologized Minimum Information About BIobank data Sharing (OMIABIS) are ontologies rooted in specimens and