Name
Abstract | ||
|---|---|---|
Recently, as a part of an EU-funded project called REFRESH, a new web-based tool named Food WasteEXplorer was developed. It provides an easy access to valuable data on unavoidable food waste that can be explored by researchers, industry, governmental agencies and the public to find ways of its valorization. The food waste data was manually collected and stored in a relational database. To enrich and make best use of it, we automatically transform the collected information into a new food waste ontology. The created Food Waste Ontology provides a formal description of knowledge from the food waste domain. Examples of its application are: (i) database querying based on natural language questions, and (ii) finding new or missing data from other datasets. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/BigData47090.2019.9006254 | 2019 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) |
Keywords | Field | DocType |
food waste standardization, data normalization and linkage | Ontology,Food waste,World Wide Web,Relational database,Computer science,Formal description,Natural language,Artificial intelligence,Database querying,Missing data,Machine learning | Conference |
ISSN | Citations | PageRank |
2639-1589 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Riste Stojanov | 1 | 5 | 3.06 |
| Tome Eftimov | 2 | 23 | 22.34 |
| Hannah Pinchen | 3 | 0 | 0.34 |
| Maria Traka | 4 | 0 | 0.34 |
| Paul Finglas | 5 | 0 | 1.01 |
| Drago Torkar | 6 | 0 | 0.34 |
| Barbara Korousic-Seljak | 7 | 0 | 0.68 |