Entity-oriented search tasks heavily rely on exploiting unstructured and structured
collections. Moreover, it is frequent for text corpora and knowledge bases to provide …

Recently much progress has been made in entity disambiguation and linking systems (EDL).
Given a piece of text, EDL links words and phrases to entities in a knowledge base, where …

We present a dynamic web tool that allows interactive search and visualization of large
news archives using an entity-centric approach. Users are able to search entities using …

In this paper, we propose the development of entity retrieval models that are temporally-
aware. Using a classification scheme of entity-oriented information needs proposed in prior …

Due to its power in modeling complex relations between entities, graph theory has been
widely used in dealing with real-world problems. On the other hand, information retrieval has …

Social media monitoring and analysis has become an integral part of the marketing strategy
of businesses all over the world [154]. Companies can no longer afford to ignore what is …

Entity-oriented search has revolutionized search engines. In the era of Google Knowledge
Graph and Microsoft Satori, users demand an effortless process of search. Whether they …

As an important enabler in achieving the maximum potential of text data analysis, topic
relationship dependency structure discovery is employed to effectively support the advanced …

In this paper we present KBAAA, a prototype system that provides a web-based interface for
the analysis and assessment of knowledge base acceleration systems. KBAAA displays …