MediaWiki API result

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        "gapcontinue": "Researchers",
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    "warnings": {
        "main": {
            "*": "Subscribe to the mediawiki-api-announce mailing list at <https://lists.wikimedia.org/postorius/lists/mediawiki-api-announce.lists.wikimedia.org/> for notice of API deprecations and breaking changes."
        },
        "revisions": {
            "*": "Because \"rvslots\" was not specified, a legacy format has been used for the output. This format is deprecated, and in the future the new format will always be used."
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    "query": {
        "pages": {
            "54": {
                "pageid": 54,
                "ns": 0,
                "title": "ResMBS",
                "revisions": [
                    {
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                        "contentmodel": "wikitext",
                        "*": "\n resMBS is a graph / dataset that has been extracted from the contents of financial prospecti for US \n residential mortgage backed securities filed with the SEC. These securities started becoming very\n popular in 2002. The issued securities reached a peak in 2006 and then started to decline in 2007 \n and came to an abrupt end in 2008. \n \n We extracted the \"financial supply chain\" comprising \"financial institutions\" (FI) and the role (Role) \n that they play on a financial contract (FC).\n\n The following paper provides an overview of how the dataset was created and some preliminary clustering \n analysis on the graph.\n resMBS: Constructing a Financial Supply Chain from Prospecti\n Doug Burdick, IBM\n Soham De and Louiqa Raschid and Mingchao Shao and Zheng Xu and Elena Zotkina, University of Maryland\n [https://drive.google.com/open?id=0BzTeYQSh4QTsWmJXSTM0TEFLa1E]\n\n The networks described in the paper can be viewed here.\n FI clusters [http://dsfin.umiacs.umd.edu/FI-network/4roles/]\n FI clusters based on FC-FC similarity [http://dsfin.umiacs.umd.edu/FC-network/4roles/]\n FI-FC bipartite graph [http://pattaran.umiacs.umd.edu/clusters/resmbs-4roles]\n\n We used a topic modeling approach to develop a model FI-Comm where a topic is defined over a vocabulary\n of FIs and a model Role-FI-Comm where a topic is defined over a vocabulary of Role-FI pairs.\n Probabilistic Financial Community Models with Latent Dirichlet Allocation for Financial Supply Chains\n Zheng Xu and Louiqa Raschid, University of Maryland\n [https://drive.google.com/open?id=0BzTeYQSh4QTsWWJ4b0RiMWFaSlk]\n\n If you want the gory details of the tools on the IBM System T platform that were developed ...\n Exploiting Lists of Names for Named Entity Identification of Financial Institutions from \n Unstructured Documents\n Zheng Xu (University of Maryland) and Douglas Burdick (IBM) and Louiqa Raschid (University of Maryland)\n [http://arxiv.org/abs/1602.04427]\n\n The dataset is available for research."
                    }
                ]
            },
            "6": {
                "pageid": 6,
                "ns": 0,
                "title": "Research Challenges",
                "revisions": [
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                        "*": " We have created a shared google doc. You will need to login to docs.google.com to access \n this document.\n Please email louiqa@umiacs.umd.edu if you cannot access it.\n [https://docs.google.com/present/edit?id=0ATTeYQSh4QTsZGQzaGc3ODlfOWhtNnBnc2Rz]\n\n There will be 2 90 minute Research Challenge sessions on Thursday and Friday afternoon.\n We have identified 5 themes for multi-disciplinary / computational research.\n Participants must indicate their interest in participation in at most 2 themes - primary and secondary. \n Depending on the response we may choose to conduct all 5 themes in parallel over both \n sessions or design an alternative scenario.\n Participants are also free to propose additional multi-disciplinary themes or propose\n merging or splitting themes.\n\n* Network Analysis and Visual Analytics and Machine Learning and Prediction\n ''Coordinators: Bill Ribarsky and  Akhtarur Siddique and Amitabh Varshney''\n - Network analysis and clustering and prediction\n - Latent variables and hidden networks and hypergraphs\n - Network evolution\n - Information visualization pertaining to systemic risk\n [[Media:Session1.doc]]\n\n* Contractual Reasoning and Semantics and Taxonomies and Metadata \n ''Coordinators: Benjamin Grosof and Leora Morgenstern and Andreas Cali and Frank Olken''\n - Parsimonious/machine representation of a financial contract\n - Contract evolution\n - Data models and schema.\n - Metadata\n - Taxonomies and ontologies and poly-hierarchies\n - Validation and reasoning\n - [[Media:Session2.txt]]\n\n* Information Integration and Entity Resolution and Information Quality\n ''Coordinators: Lucian Popa and Joe Langsam and Rachel Pottinger''\n - Human language technologies and document collections\n - Information extraction\n - LEI and post LEI challenges\n - Entity resolution\n - [[Media:Session3.doc]]\n\n* Social Media and Crowdsourcing and Markets\n ''Coordinators: Johannes Gehrke and Louiqa Raschid and Michael Wellman''\n - Social media modeling and prediction\n - Crowdsourcing\n - Market mechanisms\n - Prediction markets\n - Agent based models\n - [[Media:Session4.txt]]\n\n* Model Representation and Model Management\n ''Coordinators: Phil Bernstein and H.V. Jagadish and Amol Deshpande and Pete Kyle''\n - Data models and schema and metadata\n - Representing financial models as first-class data objects\n - Reconciling different perspectives in representation: financial, accounting, legal, \u2026\n - Error correction, and propagation of corrections through derived data\n - Privacy\n - [[Media:Session5.doc]]"
                    }
                ]
            }
        }
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