To obtain efficient information from a huge number of microblogs which are short and often informally written, a search engine based on semantic analysis for microblogs semantic search was proposed. Unlike current microblogs search engines, it conducts a serials of natural language processings and text minings for microblogs to get interesting points such as named entities, events and opinions, that are further indexed, and thus two brand new scenarios are enabled, i.e., classifiction browsing and advanced search. The challenges and their possible solutions, a reference implementation framework, and related core semantic computing technologies, e.g., semantic role labeling, were presented.
