Article Instance

HTTP 200 OK
Allow: GET
Content-Type: application/json
Vary: Accept

{
    "pk": 27366,
    "title": "A Data Driven Approach for Making Analogies",
    "subtitle": null,
    "abstract": "Making analogies is an important way for people to explain\nand understand new concepts. Though making analogies is\nnatural for human beings, it is not a trivial task for a dia-\nlogue agent. Making analogies requires the agent to estab-\nlish a correspondence between concepts in two different\ndomains. In this work, we explore a data-driven approach\nfor making analogies automatically. Our proposed approach\nworks with data represented as a flat graphical structure,\nwhich can either be designed manually or extracted from In-\nternet data. For a given concept from the base domain, our\nanalogy agent can automatically suggest a corresponding\nconcept from the target domain, and a set of mappings be-\ntween the relationships each concept has as supporting evi-\ndence. We demonstrate the working of this algorithm by\nboth reproducing a classical example of analogy inference\nand making analogies in new domains generated from\nDBPedia data.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "creativity; analogy; intelligent agents"
        }
    ],
    "section": "Posters: Papers",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/2dx8b228",
    "frozenauthors": [
        {
            "first_name": "Mei",
            "middle_name": "",
            "last_name": "Si",
            "name_suffix": "",
            "institution": "Rensselaer Polytechnic Institute",
            "department": ""
        },
        {
            "first_name": "Craig",
            "middle_name": "",
            "last_name": "Carlson",
            "name_suffix": "",
            "institution": "Rensselaer Polytechnic Institute",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2017-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/27366/galley/17002/download/"
        }
    ]
}