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Ramanathan V. Guha

Ramanathan V. Guha

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    Data Commons
    Prashanth Radhakrishnan
    Bo Xu
    Carolyn Au
    Wei Sun
    Jehangir Amjad
    Ajai Tirumali
    Jennifer Chen
    Julia Wu
    Natalie Diaz
    Samantha Piekos
    Prem Ramaswami
    James Manyika
    (2023)
    Preview abstract Publicly available data from open sources (E.g., Census [1], BLS [2], WHO [3], IPCC [4]) are vital resources for policy makers, students and researchers across different disciplines. Combining data from different sources requires the user to reconcile the differences in schemas, formats, assumptions, and more. This data wrangling is time consuming, tedious and needs to be repeated by every user of the data. Our goal with Data Commons is to address this problem by doing this once and making the processed data widely available via standard schemas and Cloud APIs. Data Commons is a distributed network of sites that publish data in a common schema and interoperate using the Data Commons APIs. Data from different Data Commons can be ‘joined’ easily. The aggregate of these Data Commons can be viewed as a single Knowledge Graph. This paper describes the architecture of Data Commons, some of the major deployments and highlights directions for future work. View details
    Preview abstract Messages often refer to entities such as people, places and events. Correct identification of the intended reference is an essential part of communication. Lack of shared unique names often complicates entity reference. Shared knowledge can be used to construct uniquely identifying descriptive references for entities with ambiguous names. We introduce a mathematical model for `Reference by Description', derive results on the conditions under which, with high probability, programs can construct unambiguous references to most entities in the domain of discourse and provide empirical validation of these results. View details
    Unweaving a web of documents
    Ravi Kumar
    D. Sivakumar
    Ravi Sundaram
    KDD (2005), pp. 574-579
    Preview
    The predictive power of online chatter
    Daniel Gruhl
    Ravi Kumar
    Jasmine Novak
    KDD (2005), pp. 78-87
    Multi-structural databases
    Ronald Fagin
    Ravi Kumar
    Jasmine Novak
    D. Sivakumar
    PODS (2005), pp. 184-195
    Propagation of trust and distrust
    SemTag and seeker: bootstrapping the semantic web via automated semantic annotation
    Stephen Dill
    Nadav Eiron
    David Gibson
    Daniel Gruhl
    Anant Jhingran
    Tapas Kanungo
    Sridhar Rajagopalan
    John A. Tomlin
    Jason Y. Zien
    WWW (2003), pp. 178-186
    A case for automated large-scale semantic annotation
    Stephen Dill
    Nadav Eiron
    David Gibson
    Daniel Gruhl
    Anant Jhingran
    Tapas Kanungo
    Kevin S. McCurley
    Sridhar Rajagopalan
    John A. Tomlin
    Jason Y. Zien
    J. Web Sem., vol. 1 (2003), pp. 115-132
    Semantic search
    Rob McCool
    Eric Miller
    WWW (2003), pp. 700-709
    Enabling Inferencing
    Ora Lassila
    Eric Miller
    Dan Brickley
    QL (1998)