Research Repository

Signal: Advanced real-time information filtering

Martinez-Alvarez, M and Kruschwitz, U and Hall, W and Poesio, M (2015) Signal: Advanced real-time information filtering. In: UNSPECIFIED, ? - ?.

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The overload of textual information is an ever-growing problem to be addressed by modern information filtering systems, not least because strategic decisions are heavily influenced by the news of the world. In particular, business opportunities as well as threats can arise by using up-to-date information coming from disparate sources such as articles published by global news providers but equally those found in local newspapers or relevant blogposts. Common media monitoring approaches tend to rely on large-scale, manually created boolean queries. However, in order to be effective and flexible in a business environment, user information needs require complex, adaptive representations that go beyond simple keywords. This demonstration illustrates the approach to the problem that Signal takes: a cloud-based architecture that processes and analyses, in real-time, all the news of the world and allows its users to specify complex information requirements based on entities, topics, industry-specific terminology and keywords.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: Published proceedings: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 21 Aug 2015 10:44
Last Modified: 31 Mar 2021 00:15

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