As a basic method of spatial data operation, keyword query can provide meaningful information to meet user demands by searching textual datasets. How accurately understand users’ intentions and efficiently retrieve results from big are always the focus research. Spatial their complex correlation between features not only enrich connotation objects but also bring difficulties efficient recogniti...

Abstract Multistores are data management systems that enable query processing across different and heterogeneous databases; besides the distribution of data, complexity factors like schema heterogeneity replication must be resolved through integration fusion activities. Our multistore solution relies on a dataspace to provide user with an integrated view available enables formulation execution ...

Set similarity query is a primitive for many applications, such as data integration, cleaning, and gene sequence alignment. Most of the existing algorithms are inverted index based, they usually filter unqualified sets one by do not have sufficient support duplicated sets, thus leading to low efficiency. To solve this problem, paper designs T-starTrie, an efficient trie based set query, which c...

Transformer-based architectures in natural language processing force input size limits that can be problematic when long documents need to processed. This paper overcomes this issue for keyphrase extraction by chunking the while keeping a global context as query defining topic which relevant keyphrases should extracted. The developed system employs pre-trained BERT model and adapts it estimate ...