- Titel
- From Web Tables to Concept
- Untertitel
- A Semantic Normalization Approach
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-836488
- Konferenz
- Conceptual Modeling: 34th International Conference, ER 2015. Stockholm, 19.-22.10.2015
- Quellenangabe
- Conceptual Modeling
; 34th International Conference, ER 2015
Erscheinungsort: Cham
Verlag: Springer
Erscheinungsjahr: 2015
Titel Schriftenreihe: Lecture Notes in Computer Science
Bandnummer Schriftenreihe: 9381
Seiten: 247-260
ISBN: 978-3-319-25263-6 - Erstveröffentlichung
- 2015
- Abstract (EN)
- Relational Web tables, embedded in HTML or published on data platforms, have become an important resource for many applications, including question answering or entity augmentation. To utilize the data, we require some understanding of what the tables are about. Previous research on recovering Web table semantics has largely focused on simple tables, which only describe a single semantic concept. However, there is also a significant number of de-normalized multi-concept tables on the Web. Treating these as single-concept tables results in many incorrect relations being extracted. In this paper, we propose a normalization approach to decompose multi-concept tables into smaller single-concept tables. First, we identify columns that represent keys or identifiers of entities. Then, we utilize the table schema as well as intrinsic data correlations to identify concept boundaries and split the tables accordingly. Experimental results on real Web tables show that our approach is feasible and effectively identifies semantic concepts.
- Andere Ausgabe
- Link zum Artikel, der zuerst bei Springer Link erschienen ist
DOI: 10.1007/978-3-319-25264-3_18 - Freie Schlagwörter (DE)
- Webtabellen, Begrifflichkeit, Normalisierung, Semantik
- Freie Schlagwörter (EN)
- Web tables, Conceptualization, Normalization, Semantics
- Klassifikation (DDC)
- 004
- Verlag
- Springer, Berlin [u. a.]
- Version / Begutachtungsstatus
- angenommene Version / Postprint / Autorenversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-836488
- Veröffentlichungsdatum Qucosa
- 15.03.2023
- Dokumenttyp
- Konferenzbeitrag
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
