Keyword queries enjoy widespread usage as they represent an intuitive way of specifying
information needs. Recently, answering keyword queries on graph-structured data has …

In this paper, we present an ontology-based information extraction and retrieval system and
its application in the soccer domain. In general, we deal with three issues in semantic …

Constructing semantic queries is a demanding task for human users, as it requires
mastering a query language as well as the schema which has been used for storing the …

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 …

Along with the rapid growth of the data Web, searching linked objects for information needs
and for reusing become emergent for ordinary Web users and developers, respectively. To …

Purpose–The purpose of this paper is to discuss sentiment search, which not only retrieves
data related to submitted keywords but also identifies sentiment opinion implied in the …

A combination of tools and methods known as" graph mining" is used to evaluate real-world
graphs, forecast the potential effects of a given graph's structure and properties for various …

Effective techniques for keyword search over RDF databases incorporate an explicit
interpretation phase that maps keywords in a keyword query to structured query constructs …

This article introduces an algorithm to automatically translate a user-specified keyword-
based query K to a SPARQL query Q so that the answers Q returns are also answers for K …

Our purpose is to hide the complexity of formulating a query expressed in a graph query
language such as SPARQL. We propose a mechanism allowing queries to be expressed in …