A large number of published datasets (or sources) that follow Linked Data principles is
currently available and this number grows rapidly. However, the major target of Linked Data …

This article provides a comprehensive overview of the broad area of semantic search on text
and knowledge bases. In a nutshell, semantic search is “search with meaning”. This …

Semantic measures are widely used today to estimate the strength of the semantic
relationship between elements of various types: units of language (eg, words, sentences …

Linking data by finding matching instances in different datasets requires considering many
characteristics, such as structural heterogeneity, implicit knowledge, and URI (Uniform …

The growing volume, variety and complexity of data being collected for scientific purposes
presents challenges for data integration. For data to be truly useful, scientists need not only …

There are various real-world applications and areas, knowledge that handles with
ambiguity, imperfect, or partial are difficult to capture. Such situations cause problems to …

This paper presents a novel information retrieval approach for personalized itinerary search
in urban freight transport systems. The proposed approach is based on the integration of …

Subgraph pattern matching is important for a wide variety of applications such as social
network analysis and knowledge discovery. Despite extensive research over the past few …

The volume of research articles published today associated to instance-based ontology
matching is significant and it is thought to reflect the growing interest of ontology matching …

This paper explores the problem of matching entities across different knowledge graphs.
Given a query entity in one knowledge graph, we wish to find the corresponding real-world …