NDLI: BioenergyKDF: enabling spatiotemporal data synthesis and research collaboration

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Online event clustering in temporal dimension

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Index-supported pattern matching on symbolic trajectories

Parameter-free discovery and recommendation of areas-of-interest

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Top-k point of interest retrieval using standard indexes

Participatory route planning

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OWGIS 2.0: Open source Java application that builds web GIS interfaces for desktop and mobile devices

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Spatio-temporal trajectory simplification for inferring travel paths

Geocoding for texts with fine-grain toponyms: an experiment on a geoparsed hiking descriptions corpus

Hourly pedestrian population trends estimation using location data from smartphones dealing with temporal and spatial sparsity

Persistence based online signal and trajectory simplification for mobile devices

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SATO: a spatial data partitioning framework for scalable query processing

Greedy map generalization by iterative point removal

Minimum backward fréchet distance

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Moving window based geometry simplification with topology constraints

Placing user-generated content on the map with confidence

TREADS: a safe route recommender using social media mining and text summarization

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TRAVIC: a visualization client for public transit data

Maximal reverse skyline query

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HMM-based address parsing: efficiently parsing billions of addresses on MapReduce

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Routing service with real world severe weather

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Automated highway tag assessment of OpenStreetMap road networks

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Traffic incident validation and correlation using text alerts and images

Using multi-criteria decision making for personalized point-of-interest recommendations

An efficient index structure for large-scale geo-tagged video databases

Efficient spatial query processing for big data

Electric and conventional vehicle driving patterns

Historical traffic-tolerant paths in road networks

Group nearest neighbor queries in the presence of obstacles

Towards knowledge-enriched path computation

Parallel multiple observer siting on terrain

A combined geometrical and topological simplification hierarchy for terrain analysis

BioenergyKDF: enabling spatiotemporal data synthesis and research collaboration

Regionally influential users in location-aware social networks

Towards approximate spatial queries for large-scale vehicle networks

Reverse geocoding for photo captioning with a meta-gazetteer

Leveraging advances in natural language processing to better understand Tobler's first law of geography

Labeling streets in interactive maps using embedded labels

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Community detection from location-tagged networks

Modeling fuzzy topological predicates for fuzzy regions

BioenergyKDF: enabling spatiotemporal data synthesis and research collaboration

Content Provider	ACM Digital Library
Author	Movva, Sunil White, Devin Chase, Adrian Thomas, Neil Karthik, Rajasekar Myers, Aaron Bhaduri, Budhendra
Abstract	The Bioenergy Knowledge Discovery Framework (BioenergyKDF) is a scalable, web-based collaborative environment for scientists working on bioenergy related research in which the connections between data, literature, and models can be explored and more clearly understood. The fully-operational and deployed system, built on multiple open source libraries and architectures, stores contributions from the community of practice and makes them easy to find, but that is just its base functionality. The BioenergyKDF provides a national spatiotemporal decision support capability that enables data sharing, analysis, modeling, and visualization as well as fosters the development and management of the U.S. bioenergy infrastructure, which is an essential component of the national energy infrastructure. The BioenergyKDF is built on a flexible, customizable platform that can be extended to support the requirements of any user community---especially those that work with spatiotemporal data. While there are several community data-sharing software platforms available, some developed and distributed by national governments, none of them have the full suite of capabilities available in BioenergyKDF. For example, this component-based platform and database independent architecture allows it to be quickly deployed to existing infrastructure and to connect to existing data repositories (spatial or otherwise). As new data, analysis, and features are added; the BioenergyKDF will help lead research and support decisions concerning bioenergy into the future, but will also enable the development and growth of additional communities of practice both inside and outside of the Department of Energy. These communities will be able to leverage the substantial investment the agency has made in the KDF platform to quickly stand up systems that are customized to their data and research needs.
Starting Page	497
Ending Page	500
Page Count	4
File Format	PDF
ISBN	9781450331319
DOI	10.1145/2666310.2666488
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-11-04
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Open-source Web-based Spatial data infrastructure Cyberinfrastructure Spatial visualization Knowledge discovery Bioenergy Critical infrastructure Communities of practice
Content Type	Text
Resource Type	Article

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