Kim Soonho, Jeetendra Singh, Ze Li, Andrew Bagdanov,Ajay Krishnan, Margherita Sini, TV Prabhakar and Johannes Keizer

FAO of the United Nations, Indian Institute of Technology, Kanpur

Guangdong Accademy of Agricultural Science

BackgroundsObjectives Implementation requirementsThe Multilingual Semantic Search

Assistant (MSSA) System overview Four functions in MSSA

EvaluationConclusion and future work

FAO AGRIS/CARIS Network FAO Google search

Helping users to find proper keywords in the current FAO keyword-based search Less than 5% of all search queries contain

advanced Boolean operators (Spink et all, 2001) build complex search! Query Restriction!

Browsing indexed terms to find proper keywords is demanded browse topics!

Only 30 % of relevant documents written in 5 official languages of the FAO was retrieved, when using only a single language expand languages!

Query expansion based on domain-specific knowledge is necessary to bring more relevant documents expand synonyms!

Should to be applied to any search (fielded, fulltext)

Only modify query string itself Don’t need to change any source

code in the target search engine Only use AGROVOC Web

Services

Multilingual supporting cross-language translations

Semantic providing functions associated with a formal repository of granular knowledge (AGROVOC thesaurus) in the Food and Agriculture domain

Search Assistant assisting users to formulate/find their keywords easily

Sending formulated queries to the search engine

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MSSA was developed to help users to find proper keywords associated with AGROVOC and can be applied to any lucene-based search engine.

A preliminary evaluation shows that expanding languages bring more relevant documents

The current version is available here: http://www.minuetto.net/fao/index.jsp