@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://data.amerigeoss.org/dataset/63ec56c7-0a26-4d1b-9a4e-1714f027617a> a dcat:Dataset ;
    dct:description """Previous studies on supporting free-form keyword queries over RDBMSs provide users with linked-structures (e.g.,a \r
set of joined tuples) that are relevant to a given keyword query. Most of them focus on ranking individual tuples from one table or joins of multiple tables containing a set of keywords. In this paper, we study the problem of keyword search in a data cube with text-rich dimension(s) (so-called text \r
cube). The text cube is built on a multidimensional text database, where each row is associated with some text data (a document) and other structural dimensions (attributes). A cell in the text cube aggregates a set of documents with matching attribute values in a subset of dimensions. We define a keyword-based query language and an IR-style relevance model for coring/ranking cells in the text cube. Given a keyword query, our goal is to find the top-k \r
most relevant cells. We propose four approaches, inverted-index one-scan, document sorted-scan, bottom-up \r
dynamic programming, and search-space \r
ordering. The search-space ordering \r
algorithm explores only a small portion of the text cube for finding the top-k \r
answers, and enables early termination. Extensive experimental studies are conducted to verify the effectiveness and efficiency of the proposed approaches. \r
\r
Citation:  B. Ding, B. Zhao, C. X. Lin, J. Han, C. Zhai, A. N. Srivastava, and N. C. Oza, “Efficient Keyword-Based Search for Top-K Cells in Text Cube,” IEEE Transactions on Knowledge and Data Engineering, 2011.""" ;
    dct:identifier "DASHLINK_515" ;
    dct:issued "2012-01-27"^^xsd:date ;
    dct:modified "2020-01-29"^^xsd:date ;
    dct:publisher <https://data.amerigeoss.org/organization/727dbdd5-3f98-4ac0-9d28-5e344558139b> ;
    dct:title "Efficient Keyword-Based Search for Top-K Cells in Text Cube" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "Ashok Srivastava" ;
            vcard:hasEmail <mailto:ashok.n.srivastava@gmail.com> ] ;
    dcat:distribution <https://data.amerigeoss.org/dataset/63ec56c7-0a26-4d1b-9a4e-1714f027617a/resource/381b8010-a73d-4c74-aad4-11dd6e9b45a9> ;
    dcat:keyword "amerigeo",
        "amerigeoss",
        "ames",
        "ckan",
        "dashlink",
        "geo",
        "geoss",
        "nasa",
        "national",
        "north-america",
        "united-states" .

<https://data.amerigeoss.org/dataset/63ec56c7-0a26-4d1b-9a4e-1714f027617a/resource/381b8010-a73d-4c74-aad4-11dd6e9b45a9> a dcat:Distribution ;
    dct:description "tkde11topcells.pdf" ;
    dct:format "PDF" ;
    dct:issued "2020-11-12T04:27:15.913744"^^xsd:dateTime ;
    dct:modified "2025-11-22T06:05:10.639833"^^xsd:dateTime ;
    dct:title "tkde11topcells.pdf" ;
    dcat:accessURL <https://c3.nasa.gov/dashlink/static/media/publication/tkde11topcells.pdf> ;
    dcat:mediaType "application/pdf" .

<https://data.amerigeoss.org/organization/727dbdd5-3f98-4ac0-9d28-5e344558139b> a foaf:Agent ;
    foaf:name "US Migrating" .