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Ontology Driven Web Extraction from Semi-structured and Unstructured Data for B2B Market Analysis

Ontology Driven Web Extraction from Semi-structured and Unstructured Data for B2B Market Analysis
Ontology Driven Web Extraction from Semi-structured and Unstructured Data for B2B Market Analysis
The Market Blended Insight project1 has the objective of improving the UK business to business marketing performance using the semantic web technologies. In this project, we are implementing an ontology driven web extraction and translation framework to supplement our backend triple store of UK companies, people and geographical information. It deals with both the semi-structured data and the unstructured text on the web, to annotate and then translate the extracted data according to the backend schema.
Imtiaz, Hazzaz
37ca401e-e195-4da5-b21c-47d51f8321c9
Darlington, John
353d9a63-0f69-4afc-9414-b85c76067d25
Zuo, Landong
ef52724a-e868-4f17-a4a0-27a32c7e5b28
Imtiaz, Hazzaz
37ca401e-e195-4da5-b21c-47d51f8321c9
Darlington, John
353d9a63-0f69-4afc-9414-b85c76067d25
Zuo, Landong
ef52724a-e868-4f17-a4a0-27a32c7e5b28

Imtiaz, Hazzaz, Darlington, John and Zuo, Landong (2009) Ontology Driven Web Extraction from Semi-structured and Unstructured Data for B2B Market Analysis. Semantic Authoring, Annotation and Knowledge Markup Workshop (SAAKM 2009).

Record type: Conference or Workshop Item (Poster)

Abstract

The Market Blended Insight project1 has the objective of improving the UK business to business marketing performance using the semantic web technologies. In this project, we are implementing an ontology driven web extraction and translation framework to supplement our backend triple store of UK companies, people and geographical information. It deals with both the semi-structured data and the unstructured text on the web, to annotate and then translate the extracted data according to the backend schema.

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Published date: 1 September 2009
Venue - Dates: Semantic Authoring, Annotation and Knowledge Markup Workshop (SAAKM 2009), 2009-09-01
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 267822
URI: https://eprints.soton.ac.uk/id/eprint/267822
PURE UUID: b73cd5c9-962f-4d24-9ee2-a9368afe26aa

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Date deposited: 02 Sep 2009 14:31
Last modified: 18 Jul 2017 06:59

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