WHAD: Wikipedia historical attributes data - Historical structured data extraction and vandalism detection from the Wikipedia edit history
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Summary
A study of vandalism identification in Wikipedia edits that uses only features from the infoboxes is presented, and it is shown that an accuracy comparable to a state-of-the-art vandalism identification method that is based on the whole article is obtained.
- Type
- article
- Published
- 2013-05-27
- Cited by
- 21
- References
- 50
- Access
- Open access
- OpenAlex
- https://openalex.org/W23602030
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:13507430
Keywords
Computer science, Identification (biology), Information retrieval, Value (mathematics), Quality (philosophy)
References
- Assessing Information Quality of a Community-Based Encyclopedia
- Deriving a Large-Scale Taxonomy from Wikipedia
- Detecting Wikipedia Vandalism using WikiTrust - Lab Report for PAN at CLEF 2010
- Multilingual Vandalism Detection using Language-Independent & Ex Post Facto Evidence - Notebook for PAN at CLEF 2011
- Keyword Extraction and Headline Generation Using Novel Word Features
- TOB: Timely Ontologies for Business Relations
- For the sake of simplicity: Unsupervised extraction of lexical simplifications from Wikipedia
- The TempEval challenge: identifying temporal relations in text
- Exploiting Wikipedia as external knowledge for document clustering
- Multilingual Schema Matching for Wikipedia Infoboxes
- Elusive vandalism detection in wikipedia: a text stability-based approach
- Determinants of wikipedia quality: the roles of global and local contribution inequality
- YAGO: A Core of Semantic Knowledge Unifying WordNet and Wikipedia
- TimeBank evolution as a community resource for TimeML parsing
- Computing trust from revision history
- The work of sustaining order in wikipedia: the banning of a vandal
- Detecting Wikipedia vandalism via spatio-temporal analysis of revision metadata?
- Using dynamic markov compression to detect vandalism in the wikipedia
- Timely YAGO: harvesting, querying, and visualizing temporal knowledge from Wikipedia
- Freebase: a collaboratively created graph database for structuring human knowledge
Cited by
- Learning conflict resolution strategies for cross-language Wikipedia data fusion
- Hidden revolution of human priorities: An analysis of biographical data from Wikipedia
- Capturing the Currency of DBpedia Descriptions and Get Insight into their Validity
- RDF-TX: A Fast, User-Friendly System for Querying the History of RDF Knowledge Bases
- Materializing the editing history of Wikipedia as linked Data in DBpedia
- Learning to Extract Events from Knowledge Base Revisions
- A flexible text analyzer based on ontologies: an application for detecting discriminatory language
- User-friendly temporal queries on historical knowledge bases
- Attention Please! - Exploring Attention Management on Wikipedia in the Context of the Ukrainian Crisis
- Integration, Provenance, and Temporal Queries for Large-Scale Knowledge Bases
- Data Change Exploration Using Time Series Clustering
- Can deep learning techniques improve classification performance of vandalism detection in Wikipedia?
- Fixing Wikipedia Interlinks Using Revision History Patterns
- Structured Object Matching across Web Page Revisions
- Matching Roles from Temporal Data: Why Joe Biden is not only President, but also Commander-in-Chief
- Interpretable Classification of Wiki-Review Streams
- Popularity-aware dynamic graph neural collaborative filtering with local-global convergence
- The Secret Life of Wikipedia Tables
- Exploring Change - A New Dimension of Data Analytics
- Mining historical data for DBpedia via temporal tagging of Wikipedia infoboxes
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