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 …

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

This paper presents a method for measuring the semantic similarity between concepts in
Knowledge Graphs (KGs) such as WordNet and DBpedia. Previous work on semantic …

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

Text clustering is a critical step in text data analysis and has been extensively studied by the
text mining community. Most existing text clustering algorithms are based on the bag-of …

Lexical resources are widely popular in the field of Sentiment Analysis, as they represent a
resource that directly encodes sentimental knowledge. Usually sentiment lexica are used for …

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 …

With the increasing popularity of large scale Knowledge Graph (KG) s, many applications
such as semantic analysis, search and question answering need to link entity mentions in …

Medical tourism is increasing quickly since it contributes to both the health and tourism
sectors. The use of big social data has been effective in the development of medical tourism …

Recommender systems are effectively used as a personalized information filtering
technology to automatically predict and identify a set of interesting items on behalf of users …