Gathering and processing large amounts of data is increasing every day. Record linkage is
one of the most complex data-intensive tasks, which is used to accurately match records …

As cities are becoming green and smart, public information systems are being revamped to
adopt digital technologies. There are several sources (official or not) that can provide …

Deduplication is the task of identifying the entities in a data set which refer to the same real
world object. Over the last decades, this problem has been largely investigated and many …

Instance matching is a key task in knowledge graph fusion, and it is critical to improving the
efficiency of instance matching, given the increasing scale of knowledge graphs. Blocking …

Currently, the use of large ontologies in various areas of knowledge is increasing. Since
these ontologies can present overlap** of content, the identification of correspondences …

Modern parallel computing programming models, such as MapReduce (MR), have proven to
be powerful tools for efficient parallel execution of data-intensive tasks such as Entity …

Modeling business processes as a set of activities to accomplish goals naturally makes them
be executed several times. Usually, such executions produce a large portion of provenance …

Entity Matching (EM), ie, the task of identifying all entities referring to the same realworld
object, is an important and difficult task for data sources integration and cleansing. A major …

Record Linkage (RL) is the task of identifying duplicate entities in a dataset or multiple
datasets. In the era of Big Data, this task has gained notorious attention due to the intrinsic …

Recent years have seen an increasing use of large ontologies in various areas of
knowledge, eg health and agriculture. In this scenario, ontology matching is an important …