2013/03/18 by Gianluca Quercini, Chantal Reynaud · 1 citation
Computer Science · Decision Sciences · #Annotation #Artificial intelligence #Column (typography) #Computer science #Data Quality and Management #Data mining #Information extraction #Information retrieval #Knowledge extraction #Natural language processing #Programming language #Relational database #Semantics (computer science) #Semi-structured data #Table (database) #Topic Modeling #Web Data Mining and Analysis
paper · doi:10.1145/2452376.2452457
openalex publication_date 2013/03/18 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29
The Web is rich of tables (e.g., HTML tables, spreadsheets, Google Fusion Tables) that host a considerable wealth of high-quality relational data. Unlike unstructured texts, tables usually favour the automatic extraction of data because of their regular structure and properties. The data extraction is usually complemented by the annotation of the table, which determines its semantics by identifying a type for each column, the relations between columns, if any, and the entities that occur in each cell.