Web clustering engines organize search results by topic, thus offering a complementary
view to the flat-ranked list returned by conventional search engines. In this survey, we …

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 …

As an increasing amount of RDF data is published as Linked Data, intuitive ways of
accessing this data become more and more important. Question answering approaches …

Estimation of the semantic likeness between words is of great importance in many
applications dealing with textual data such as natural language processing, knowledge …

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 …

An ontology is an explicit formal conceptualization of some domain of interest. Ontologies
are increasingly used in various fields such as knowledge management, information …

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 …

The evaluation of ontologies is still an emerging field. A set of preliminary ideas and
frameworks have been suggested in the literature. This chapter collects ontology quality …

Ontology alignment identifies semantically matching entities in different ontologies. Various
ontology alignment strategies have been proposed; however, few systems have explored …

Abstract The Web of Linked Data forms a single, globally distributed dataspace. Due to the
openness of this dataspace, it is not possible to know in advance all data sources that might …