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11 - Computer Science and Informatics

The University of West London

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Output 10 of 34 in the submission

Article title

BetterRelations: Collecting Association Strengths for Linked Data Triples with a Game

Type

D - Journal article

DOI

10.1007/978-3-642-34213-4_15

Title of journal

Search Computing - Broadening Web Search, volume LNCS 7538 of Lecture Notes in Computer Science

Article number

Volume number

7538

Issue number

First page of article

223

ISSN of journal

1611-3349

Year of publication

2012

URL

Number of additional authors

Additional information

<22> While associations in human memory have different strengths, such explicit association strengths (edge weights) are missing in Linked Data. Hence, finding good heuristics that can estimate human-like association strengths for Linked Data facts (triples) is of major interest. This book chapter provides an overview of existing approaches to rate Linked Data triples that could be valuable candidates for good heuristics. We present a web-game prototype that can help with the collection of a ground truth of edge weights for triples. We explain the game’s concept, summarize Linked Data related implementation aspects, and include a detailed evaluation of the game.

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