@article{Vincent07IEEEcomputer,
        title = {Taking Online Maps Down to Street Level},
        author = {Luc Vincent},
        journal = {Computer},
        number = 12,
        pages = {118-120},
        volume = 40,
        year = 2007,
        url = {http://dx.doi.org/10.1109/MC.2007.442},
        timestamp = {2008.02.07},
	issn = {0018-9162},
	file = {IEEE Digital Library:2007/Vincent07IEEEcomputer.pdf:PDF},
	owner = {flint},
	abstract = {StreetView enables simple navigation between street-level images without
	losing the map concept.},
	biburl = {http://www.bibsonomy.org/bibtex/272542680b9f45b02e09296fbdda8d4b5/flint63},
	keywords = {ieee google 3d paper map image graphics v0805 interface user}
}

@inproceedings{TanasescuGugliottaEtAl06ISWC,
        title = {A Semantic Web Services {GIS} Based Emergency Management Application},
        address = {Berlin, Heidelberg},
        author = {Vlad Tanasescu and Alessio Gugliotta and John Domingue and Rob Davies and Leticia Guti{\'e}rrez-Villar{\'i}as and Mary Rowlatt and Marc Richardson and Sandra Stin{\v{c}}i{\'c}},
        booktitle = {The Semantic Web -- {ISWC 2006}},
        editor = {Isabel Cruz and Stefan Decker and Dean Allemang and Chris Preist and Daniel Schwabe and Peter Mika and Mike Uschold and Lora Aroyo},
        pages = {959-966},
        publisher = {Springer},
        series = {Lecture Notes in Computer Science},
        volume = 4273,
        year = 2006,
        url = {http://dx.doi.org/10.1007/11926078_71},
        timestamp = {2008.02.10},
	file = {SpringerLink:2006/TanasescuGugliottaEtAl06ISWC.pdf:PDF},
	isbn = {978-3-540-49029-6},
	owner = {flint},
	abstract = {In an emergency situation, relevant information about involved elements
	is required. This information ranges from demographic data, weather
	forecasts and sensor data, available transportation means, presence
	of helpful agents, land use and cover statistics or values, etc.
	Moreover, the emergency management process is dynamic as it involves
	several definite steps, described in standard procedures from which
	the Emergency Officer (EO) should not depart without good reason.
	Multiple agencies own the relevant data and possess parts of emergency
	related knowledge.},
	biburl = {http://www.bibsonomy.org/bibtex/2deb8c52887caae239fd9c7b8ae77ec9b/flint63},
	keywords = {information springer spatial paper data semantic web ai map service crisis v0805 management}
}

@article{NathLiuZhao07IEEEcomputer,
        title = {{SensorMap} for Wide-Area Sensor Webs},
        author = {Suman Nath and Jie Liu and Feng Zhao},
        journal = {Computer},
        number = 7,
        pages = {90-93},
        volume = 40,
        year = 2007,
        url = {http://dx.doi.org/10.1109/MC.2007.250},
        timestamp = {2008.02.19},
	issn = {0018-9162},
	file = {IEEE Digital Library:2007/NathLiuZhao07IEEEcomputer.pdf:PDF},
	owner = {flint},
	abstract = {Geocentric Web interfaces such as Microsoft Virtual Earth and Google
	Maps are useful for visualizing spatially and geographically related
	data such as driving directions, directory entries, and weather and
	traffic conditions, to name a few. The desire to add useful information
	to these interfaces has led developers to create custom applications
	that overlay housing prices, crime rates, bus locations, and other
	data on top of browsable maps. These applications are possible due
	to useful APIs that Google Maps and Microsoft Virtual Earth publish
	to overlay location data on maps. We envision a new class of applications
	that relies on real-time sensor data and its mash-up with the geocentric
	Web to provide instantaneous environmental visibility and timely
	decision support.},
	biburl = {http://www.bibsonomy.org/bibtex/2fe8f0fa7540b9035b461df07456765d6/flint63},
	keywords = {information application spatial paper data windows web network microsoft sensor ieee map processing v0805 soap storage}
}

@article{HummelYangDuchow07it,
        title = {Kreuzungsverstehen -- Ein wissensbasierter Ansatz},
        author = {Britta Hummel and Zongru Yang and Christian Duchow},
        journal = {it -- Information Technology},
        number = 1,
        pages = {5-16},
        volume = 49,
        year = 2007,
        url = {http://dx.doi.org/10.1524/itit.2007.49.1.5},
        timestamp = {2008.02.20},
	issn = {1611-2776},
	file = {Oldenbourg Wissenschaftsverlag online:2007/HummelYangDuchow07it.pdf:PDF},
	owner = {flint},
	abstract = {Existierende Ansätze zur Fahrbahnerkennung arbeiten -- vermutlich
	prinzipbedingt -- auf jeweils nur kleinen Teilmengen der möglichen
	Fahrbahnkonfigurationen robust. Ein Schlüssel auf dem Weg zu
	allgemeingültig arbeitenden Verfahren liegt in der massiven Erhöhung
	der Menge des im Schätzprozess genutzten Vorwissens. Im Hinblick
	auf eine effiziente, nachvollzieh- und erweiterbare Beschreibung
	ist eine explizite Repräsentation solchen Wissens anzustreben.
	Im vorliegenden Beitrag wird eine konzeptuelle und eine geometrische
	Wissensrepräsentationen für den Diskursbereich Straßen
	und Kreuzungen vorgestellt. Deren Parameter werden gemeinsam mittels
	eines Multihypothesen-Ansatzes geschätzt, dessen Eingangsdaten
	handelsübliche digitale Karten sowie verschiedene videobasierte
	Objektdetektoren sind. Zur Verifikation der Hypothesen werden die
	Vorzugsrichtungen der lokalen Textur im Bereich der erwarteten Fahrspurberandungen
	ausgewertet. Dabei kann gleichzeitig die Messunsicherheit der zur
	Bildprojektion genutzten Schätzung der Lage des Kamerakoordinatensystems
	reduziert werden.
	
	Junction Understanding---A Knowledge Based Approach: The road recognition
	problem has been solved robustly only for small, often simplified
	subsets of possible road configurations. A massive augmentation of
	the amount of used prior knowledge could pave the way towards generally
	valid estimators. An explicit representation of such knowledge will
	additionally lead to an efficient, understandable and therefore extendible
	system. We present a conceptual and a geometrical knowledge representation
	for the Roads&Junctions domain of discourse. Its parameters are estimated
	using a multi hypotheses approach. A commercially available digital
	map and a set of video based object detectors serve as input data.
	The resulting hypotheses are verified by evaluating the preferred
	orientations of local texture around the expected position of the
	lane dividers. The estimate of the camera coordinate system's pose,
	which is used for image projection, is updated simultaneously.},
	biburl = {http://www.bibsonomy.org/bibtex/26f42facd1a224bfcfa7c21164e5f61aa/flint63},
	keywords = {knowledge location paper recognition data image analysis sensor ai traffic map processing v0805 video}
}

@article{ChitumallaHarrisEtAl08IEEEinternet,
        title = {Emergency Response Applications: Dynamic Plume Modeling and Real-Time
	Routing},
        author = {Pavan Kumar Chitumalla and Douglas Harris and Bhavani Thuraisingham and Latifur Khan},
        editor = {Douglas Harris},
        journal = {Internet Computing},
        number = 1,
        pages = {38-44},
        volume = 12,
        year = 2008,
        url = {http://dx.doi.org/10.1109/MIC.2008.11},
        timestamp = {2008.02.04},
	issn = {1089-7801},
	file = {IEEE Digital Library:2008/ChitumallaHarrisEtAl08IEEEinternet.pdf:PDF},
	owner = {flint},
	abstract = {In a crisis situation, toxic gas can be released into the air, blocking
	routes for emergency responders. Rescue workers must be able to compute
	the shortest and safest paths in the presence of toxic gas dispersions
	that move dynamically with changing wind speed and direction. To
	model this, the authors developed weather retriever software, which
	fetches weather details about a particular location from the Internet
	and acts as the station for atmospheric measurements for the Aloha
	plume-modeling software. The authors also explored options for displaying
	this dynamic plume on a geographic map.},
	biburl = {http://www.bibsonomy.org/bibtex/2a75d8c9b13df24f5a951c658149b3457/flint63},
	keywords = {information ieee spatial paper map crisis v0805 management}
}