Search and information retrieval systems are becoming more expressive in interpreting user
queries beyond the traditional weighted bag-of-words model of document retrieval. For …

More and more (semi) structured information is becoming available on the web in the form of
documents embedding metadata (eg, RDF, RDFa, Microformats and others). There are …

Regular expressions are the dominant technique to extract business relevant entities (eg,
invoice numbers or product names) from text data (eg, invoices), since these entity types …

The rise of the Social Web and advances in the Semantic Web provides unprecedented
possibilities for the development of novel methods to enhance the information retrieval (IR) …

This article provides a technical review of semantic search methods used to support text‐
based search over formal Semantic Web knowledge bases. Our focus is on ranking methods …

In real applications, there are many domains that are full of uncertainty. As the resource
description language of the Semantic Web, vagueness RDF data are playing an …

Web Search Engines provide a huge number of answers in response to a user query, many
of which are not relevant, whereas some of the most relevant ones may not be found. In the …

With enormous data emerging on the Web, traditional keyword searching is challenged by
short queries posed by users to vaguely describe their information need. Query expansion …

In this paper, we identify the problems of current semantic and hybrid search systems, which
seek to bridge structure and unstructured data, and propose solutions. We introduce a novel …

Modeling collaboration processes is a challenging task. Existing modeling approaches are
not capable of expressing the unpredictable, non-routine nature of human collaboration …