Estimating the semantic similarity between text data is one of the challenging and open
research problems in the field of Natural Language Processing (NLP). The versatility of …

Semantic similarity has attracted great concern for a long time in artificial intelligence,
psychology and cognitive science. In recent years the measures based on WordNet have …

The interest in explainable artificial intelligence has grown strongly in recent years because
of the need to convey safety and trust in the 'how'and 'why'of automated decision-making to …

Artificial Intelligence federates numerous scientific fields in the aim of develo** machines
able to assist human operators performing complex treatments---most of which demand high …

The actual functions of a region may not reflect the intent of the original zoning scheme from
planners. To identify the actual urban functional regions, numerous methods have been …

Estimation of the semantic likeness between words is of great importance in many
applications dealing with textual data such as natural language processing, knowledge …

Understanding, representing, and reasoning about Points Of Interest (POI) types such as
Auto Repair, Body Shop, Gas Stations, or Planetarium, is a key aspect of geographic …

Human similarity and relatedness judgements between concepts underlie most of cognitive
capabilities, such as categorisation, memory, decision-making and reasoning. For this …

It is not uncommon in the data anonymization literature to oppose the “old” k k-anonymity
model to the “new” differential privacy model, which offers more robust privacy guarantees …

Purpose This paper aims to identify, evaluate and integrate the findings of all relevant and
high-quality individual studies addressing one or more research questions about …