Using traditional full-text search on Topic Maps is the most common approach to search in Topic Maps today, and while it works quite well in most cases it also has substantial weaknesses. This paper explores an alternative approach, which attempts to interpret user searches in terms of the topic map being searched, to produce tolog queries representing the interpretation of the user’s search.