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Escaping the trap of too precise topic queries. (English) Zbl 1390.68749
Carette, Jacques (ed.) et al., Intelligent computer mathematics. MKM, Calculemus, DML, and systems and projects 2013, held as part of CICM 2013, Bath, UK, July 8–12, 2013. Proceedings. Berlin: Springer (ISBN 978-3-642-39319-8/pbk). Lecture Notes in Computer Science 7961. Lecture Notes in Artificial Intelligence, 296-309 (2013).
Summary: At the very center of digital mathematics libraries lie controlled vocabularies which qualify the topic of the documents. These topics are used when submitting a document to a digital mathematics library and to perform searches in a library. The latter are refined by the use of these topics as they allow a precise classification of the mathematics area this document addresses. However, there is a major risk that users employ too precise topics to specify their queries: they may be employing a topic that is only “close-by” but missing to match the right resource. We call this the topic trap. Indeed, since 2009, this issue has appeared frequently on the i2geo.net platform. Other mathematics portals experience the same phenomenon. An approach to solve this issue is to introduce tolerance in the way queries are understood by the user. In particular, the approach of including fuzzy matches but this introduces noise which may prevent the user of understanding the function of the search engine.
In this paper, we propose a way to escape the topic trap by employing the navigation between related topics and the count of search results for each topic. This supports the user in that search for close-by topics is a click away from a previous search. This approach was realized with the i2geo search engine and is described in detail where the relation of being related is computed by employing textual analysis of the definitions of the concepts fetched from the Wikipedia encyclopedia.
For the entire collection see [Zbl 1268.68008].

MSC:
68U35 Computing methodologies for information systems (hypertext navigation, interfaces, decision support, etc.)
68P20 Information storage and retrieval of data
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