Flexible Trip-Planning Queries
Bibliographic Data
| ID | 22034394 |
|---|---|
| Authors | Gloria Bordogna (0000-0002-6775-753X, CNR IREA, Via A. Corti 12, 20133 Milano, Italy, corresponding author), Paola Carrara (0000-0001-6805-3756, CNR IREA, Via A. Corti 12, 20133 Milano, Italy), Luca Frigerio (CNR IREA, Via A. Corti 12, 20133 Milano, Italy), Simone Lella (0000-0001-5913-2911, CNR IREA, Via A. Corti 12, 20133 Milano, Italy) |
| Year | 2023 |
| Volume | 12 |
| Issue | 5 |
| Pages | 204 |
| Publication date | 2023-05-16 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi12050204 |
| OpenAlex | W4377042625 |
| Language | EN |
| References cited | 18 |
The current practice of users searching for different types of geo-resources in a geographic area and wishing to identify the most convenient routes for visiting the most relevant ones, requires the iterative formulation of several queries: first to identify the more interesting resources and then to select the best route to visit them. In order to simplify this process, in this paper a novel functionality for a geographic information retrieval (GIR) system is proposed, which retrieves and ranks several routes for visiting a number of relevant georeferenced resources as a result of a single query, named flexible trip-planning query. An original retrieval model is defined to identify the relevant resources and to rank the most convenient routes by taking into account personal user preferences. To this end, a graph-based algorithm is defined, exploiting prioritized aggregation to optimize the routes’ identification and ranking. The proposed algorithm is applied in the proof-of-concept of a Smart cOmmunity-based Geographic infoRmation rEtrievAl SysTem (SO-GREAT) designed to strengthen local communities: it collects and manages open data from regional authorities describing categories of authoritative territorial resources and services, such as schools, hospitals, etc., and from volunteered geographic services (VGSs) created by citizens to offer services in their neighbourhood
Data mining · Data science · Geographic information system · Geography · Graph · Information retrieval · World Wide Web · Computer Science · Data Management and Algorithms · Geographic Information Systems Studies · Recommender Systems and Techniques · Theoretical Computer Science
| Highly cited | No |
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