With the ever increasing size of the web, relevant information extraction on the Internet with
a query formed by a few keywords has become a big challenge. Query Expansion (QE) …

Abstract Semantic Question Answering (SQA) removes two major access requirements to
the Semantic Web: the mastery of a formal query language like SPARQL and knowledge of …

This review presents various perspectives on converting user keywords into a formal query.
Without understanding the dataset's underlying structure, how can a user input a text-based …

We exploit the visual properties of concepts for lexical entailment detection by examining a
concept's generality. We introduce three unsupervised methods for determining a concept's …

As an increasing amount of the knowledge graph is published as Linked Open Data,
semantic entity search is required to develop new applications. However, the use of …

The big data era is witnessing a prevalent shift of data from homogeneous to
heterogeneous, from isolated to linked. Exemplar outcomes of this shift are a wide range of …

Lexical and semantic matches are commonly used as relevance measurements for
information retrieval. Together they estimate the semantic equivalence between the query …

This paper investigates how Linked Open Data (LOD) can be used for recommendations
and information retrieval within digital libraries. While numerous studies on both research …

Query expansion (QE) is an important process in information retrieval applications that
improves the user query and helps in retrieving relevant results. In this paper, we introduce a …

For non-expert users, a textual query is the most popular and simple means for
communicating with a retrieval or question answering system. However, there is a risk of …