This document discusses the development of a social-semantic search engine called Oer-OntoSearch to find open educational resources (OERs). The search engine combines semantic web and social web approaches by semantically encoding OER metadata and integrating user contributions. It was implemented with features like keyword search, results filtering, and presentation of results in HTML and RDF formats. An initial evaluation found that the search engine was able to answer many questions by searching the semantic metadata. Future work will focus on further integrating social and semantic technologies to improve OER search capabilities.