Graph database models can be defined as those in which data structures for the schema
and instances are modeled as graphs or generalizations of them, and data manipulation is …

Reputation systems offer a medium where users can quantify the trustworthiness or
reliability of individuals providing online services or products. In the past, researchers have …

Since its inception by Google, Knowledge Graph has become a term that is recently
ubiquitously used yet does not have a well-established definition. This section attempts to …

Smart speakers such as Alexa and Google Home introduced Artificial Intelligence (AI) in
millions soon billions of households, making AI an everyday experience. We can now look …

The limitations of traditional databases, in particular the relational model, to cover the
requirements of current applications has lead the development of new database …

Advances in sensor data collection technology, such as pervasive and embedded devices,
and RFID Technology have lead to a large number of smart devices which are connected to …

Much work has been devoted to supporting RDF data. But state-of-the-art systems and
methods still cannot handle web scale RDF data effectively. Furthermore, many useful and …

Despite the intense interest towards realizing the Semantic Web vision, most existing RDF
data management schemes are constrained in terms of efficiency and scalability. Still, the …

We present the architecture of an end-to-end semantic search engine that uses a graph data
model to enable interactive query answering over structured and interlinked data collected …

Abstract Data on the Semantic Web is semi-structured and does not follow one fixed
schema. Faceted browsing [23] is a natural technique for navigating such data, partitioning …