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Interactive Search and Exploration of Entity-entity Relationships in a Huge Document Corpus

Authors:
Andreas Schmidt
Steffen Scholz

Keywords: Interactive graph; entity-based search engine; relationship exploration; graphical representation.

Abstract:
This paper presents an interactive tool developed for the search and exploration of named entities and their relationships. The tool sits on top of an entity-based search engine, which previously has extracted and indexed all entities from a potentially huge document corpus. Relatedness between different entities is calculated based on entity n-tuples in the document corpus. The relatedness measure between entities is calculated during indexing time, which makes the algorithm very fast and usable for interactive application. Furthermore, the user can search for entities and their relationships to other entities using an interactive auto-completion and suggestion service. Related entities can then be filtered further by a multi-prefix search as well as based on type restrictions from an existing classification taxonomy. Another powerful feature is the merging of multiple entities into a group which allows the extraction of entities related to this group. A graphical interface is proposed with an entity or entity group as a central point, surrounded by the most n-related entities, based on some restrictions formulated by the user.

Pages: 64 to 67

Copyright: Copyright (c) IARIA, 2018

Publication date: May 20, 2018

Published in: conference

ISSN: 2308-4332

ISBN: 978-1-61208-637-8

Location: Nice, France

Dates: from May 20, 2018 to May 24, 2018