منابع مشابه
Keyword-aware Optimal Route Search
Identifying a preferable route is an important problem that finds applications in map services. When a user plans a trip within a city, the user may want to find “a most popular route such that it passes by shopping mall, restaurant, and pub, and the travel time to and from his hotel is within 4 hours.” However, none of the algorithms in the existing work on route planning can be used to answer...
متن کاملAn Effective Path-aware Approach for Keyword Search over Data Graphs
Abstract—Keyword Search is known as a user-friendly alternative for structured languages to retrieve information from graph-structured data. Efficient retrieving of relevant answers to a keyword query and effective ranking of these answers according to their relevance are two main challenges in the keyword search over graph-structured data. In this paper, a novel scoring function is proposed, w...
متن کاملTARS: traffic-aware route search
In a traf f ic-aware route search (TARS), the user provides start and target locations and sets of search terms. The goal is to find the fastest route from the start location to the target via geographic entities (points of interest) that correspond to the search terms, while taking into account variations in the travel speed due to changes in traffic conditions, and the possibility that some v...
متن کاملConstructing target-aware results for keyword search on knowledge graphs
Existing work for processing keyword searches on graph data focuses on efficiency of result generation. However, being oblivious to user search intention, a query result may contain multiple instances of user search target, and multiple query results may contain information for the same instance of user search target. With the misalignment between query results and search targets, a ranking fun...
متن کاملTunable keyword-aware language modeling and context dependent fillers for LVCSR-based spoken keyword search
We explore the potential of using keyword-aware language modeling to extend the ability of trading higher false alarm rates in exchange for lower miss detection rates in LVCSRbased keyword search (KWS). A context-dependent keyword language modeling method is also proposed to further enhance the keyword-aware language modeling framework by reducing the number of false alarms often sacrificed in ...
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ژورنال
عنوان ژورنال: Proceedings of the VLDB Endowment
سال: 2012
ISSN: 2150-8097
DOI: 10.14778/2350229.2350234