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Retrieving information from heterogeneous freight data sources to answer natural language queries
| Content Provider | Semantic Scholar |
|---|---|
| Author | Seedah, Dan P. K. |
| Copyright Year | 2014 |
| Abstract | Navigating through multiple heterogeneous freight data sources to find the ones that are relevant to answering a question can be a challenging task when performed manually. It is highly dependent on the individual’s knowledge of all available data sources and the information contained in each one. Multiple factors contribute to freight data heterogeneity, including differences in data element definitions, level of disaggregation, and classification systems. This research work developed a standardized knowledge representation of freight data sources using an ontology that both computer systems and domain experts can understand. A querying algorithm was then used to search through the ontology to determine which freight data sources provided the best answers to the user’s query. Issues relating to semantic heterogeneity inherent in freight data elements and gaps in existing freight data sources were also identified using the ontology and querying algorithm. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://ctr.utexas.edu/wp-content/uploads/CTRseminar-DanSeedah-20170207.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
