  The use of electronic textbooks (e-book) has been heavily studied over the
years due to their flexibility, accessibility, interactivity and extensibility.
Yet current shortcomings of e-book, which is often just a digitized version of
the original book, does not encourage adoption. Consequently, this leads to a
rethinking of e-book that should incorporate current technologies to augment
its capabilities, where inclusion of information search and organization tools
have shown to be favorable. This paper is on a preliminary work to add
intelligence into such tools in terms of information retrieval. Construction of
knowledge graph for e-book material with little overhead is first introduced.
Information retrieval through typed similarity query is then performed via
random walk. Case study demonstrate the applicability of the e-book platform,
with promising application and advancement in the area of electronic textbooks.
