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 …

Triple stores have long provided RDF storage as well as data access using expressive,
formal query languages such as SPARQL. The new end users of the Semantic Web …

Linked Data is develo** towards a large, global repository for structured, interlinked
descriptions of real-world entities. An emerging problem in many Web applications making …

RDF knowledge graphs are typically searched using triple-pattern queries. Often, triple-
pattern queries will return too many or too few results, making it difficult for users to find …

Faceted search and querying are two well-known paradigms to search the Semantic Web.
Querying languages, such as SPARQL, offer expressive means for searching RDF datasets …

Abstract Linked Open Data provides data on the web in a machine readable way with typed
links between related entities. Means of accessing Linked Open Data include crawling …

Purpose The purpose of this paper is to present a generic pipeline for Resource Description
Framework (RDF) graph mining to provide a comprehensive review of each step in the …

Linked Data (LD) provides principles for publishing data that underpin the development of
an emerging web of data. LD follows the web in providing low barriers to entry: publishers …

Semantic search attempts to go beyond the current state of the art in information access by
addressing information needs on the semantic level, ie considering the meaning of users' …

An increasing amount of structured data on the Web has attracted industry attention and
renewed research interest in what is collectively referred to as semantic search. These …