Abstract
Massive amount of data that are geo-tagged and associated with
text information are being generated at an unprecedented scale.
These geo-textual data cover a wide range of topics. Users are interested
in receiving up-to-date geo-textual objects (e.g., geo-tagged
Tweets) such that their locations meet users’ need and their texts are
interesting to users. For example, a user may want to be updated
with tweets near her home on the topic “dengue fever headache.”
In this demonstration, we present SOPS, the Spatial-Keyword
Publish/Subscribe System, that is capable of efficiently processing
spatial keyword continuous queries. SOPS supports two types
of queries: (1) Boolean Range Continuous (BRC) query that can
be used to subscribe the geo-textual objects satisfying a boolean
keyword expression and falling in a specified spatial region; (2)
Temporal Spatial-Keyword Top-k Continuous (TaSK) query that
continuously maintains up-to-date top-k most relevant results over
a stream of geo-textual objects. SOPS enables users to formulate
their queries and view the real-time results over a stream of geotextual
objects by browser-based user interfaces. On the server
side, we propose solutions to efficiently processing a large number
of BRC queries (tens of millions) and TaSK queries over a stream
of geo-textual objects.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the VLDB Endowment (PVLDB) |
| Publisher | VLDB Endowment Inc. |
| Pages | 1601-1604 |
| Number of pages | 4 |
| Volume | 7 no. 13 |
| Publication status | Published - Aug 2014 |
| Event | 40th International Conference on VLDB 2014 - Hangzhou, China Duration: 01 Sep 2014 → 05 Sep 2014 |
Conference
| Conference | 40th International Conference on VLDB 2014 |
|---|---|
| Country | China |
| City | Hangzhou |
| Period | 01/09/2014 → 05/09/2014 |