In:
Proceedings of the VLDB Endowment, Association for Computing Machinery (ACM), Vol. 2, No. 2 ( 2009-08), p. 1622-1625
Abstract:
Nowadays, most business, administration, and/or scientific databases contain both structured attributes and text attributes. We call a database that consists of both multidimensional structured data and narrative text data as multidimensional text database . Searching, OLAP, and mining such databases pose many research challenges. To enhance the power of data analysis, interesting entities and relationships can be extracted from such databases to derive heterogeneous information networks, which in turn will substantially increase the power and flexibility of data exploration in such databases. Based on our previous studies on TextCube [1], TopicCube [2], and information network analysis, such as RankClus [3] and NetClus [4], we construct iNextCube , an i nformation- N etwork- e nhanced te xt Cube . In this demo, we show the power of iNextCube in the search and analysis of two multidimensional text databases: (i) a DBLP-based CS bibliographic database, and (ii) an online news database.
Type of Medium:
Online Resource
ISSN:
2150-8097
DOI:
10.14778/1687553.1687608
Language:
English
Publisher:
Association for Computing Machinery (ACM)
Publication Date:
2009
detail.hit.zdb_id:
2478691-3
Permalink