论文信息 - PARMENIDES: Towards Business Intelligence Discovery from Web Data

PARMENIDES: Towards Business Intelligence Discovery from Web Data

The amounts of heterogeneous data that are available on the Web have made information management a seriously complicated task. In the context of the present work, PARMENIDES, a business-oriented framework for information management on the Web is introduced. Semantic information is extracted from Web data and warehoused in a way that enables its efficient retrieval and reasoning towards the support for business intelligence tasks. The capabilities of the PARMENIDES approach are demonstrated via a case study based on the life sciences domain

[1] Georgios Paliouras,et al. Ellogon: A New Text Engineering Platform , 2002, LREC.

[2] William J. Black,et al. A Suite of Tools for Marking Up Textual Data for Temporal Text Mining Scenarios , 2004, LREC.

[3] Fabio Rinaldi,et al. Multilayer annotations in Parmenides , 2003 .

[4] David A. Ferrucci,et al. UIMA: an architectural approach to unstructured information processing in the corporate research environment , 2004, Natural Language Engineering.

[5] Alexander Mikroyannidis,et al. Information Management: The Parmenides Approach , 2005, RANLP Text Mining Workshop.