Research at Open Systems Lab IIIT Bangalore http://osl.iiitb.ac.in/

Broad Areas Co-occurrence analyses Multi-agent approaches for (database related) optimization

Co-occurrence Analyses Using models of semantic memory from cognitive psychology to extract latent semantics in document collections Graphs depicting higher-order inferences Co-occurrence (labeled) graph Document corpus

Co-occurrence graph Captures pair-wise co-occurrences across different typed entities Entity types Nouns (Person, Institution, Place, Country, etc.) Tags URLs Phrases

Higher-order inferences Topic anchors Topic markers Synonymy Semantic siblings Topic induction

Higher-order inferences Co-citations as URL co-occurrences Contrasting co-citation patterns between Web pages and Wikipedia Co-citation as hyperlink endorsements Co-citation as knowledge aggregation Co-citation as conditional probability of topical relevance

Dataset Co-occurrence graph built from a complete Wikipedia dump Co-citation graph built from a crawl of over 10 million pages and over 85 million hyperlinks

Some results Topical anchor experiments http://tinyurl.com/topicalanchors

Some results: web co-citation graph

Some results: endorsed hyperlink graph

Some questions Innate macro characteristics of co-occurrence graphs Concept formation from instances of co-occurrences Multipartite clustering

Multi-agent optimization Query optimization in stream grids Distributed index design under arbitrary constraints (churn, load, symmetry, etc.)

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