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Output details

11 - Computer Science and Informatics

The University of West London

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Output 11 of 34 in the submission

Output title

Case Acquisition from Text: Ontology-Based Information Extraction with SCOOBIE for myCBR

Type

E - Conference contribution

DOI

10.1007/978-3-642-14274-1_33

Name of conference/published proceedings

18th International Conference on Case-Based Reasoning

Volume number

6176

Issue number

First page of article

451

ISSN of proceedings

1611-3349

Year of publication

2010

URL

Number of additional authors

Additional information

<22> myCBR is a tool for rapid prototyping of similarity-based retrieval applications such as case-based product recommender systems. SCOOBIE is an ontology-based information extraction system, which uses symbolic background knowledge for extracting information from text. Extraction results depend on existing knowledge fragments. In this paper we show how to use SCOOBIE for generating cases from texts. More concrete we use Linked Data interlinked with myCBR’s case model. We present a way of formalising a case model as Linked Data ready ontology and connect it with other ontologies of the Web of Data in order to get richer cases.

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract