000 | 05438nam a22006495i 4500 | ||
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001 | 978-3-540-30231-5 | ||
003 | DE-He213 | ||
005 | 20240423130106.0 | ||
007 | cr nn 008mamaa | ||
008 | 121227s2004 gw | s |||| 0|eng d | ||
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_a9783540302315 _9978-3-540-30231-5 |
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024 | 7 |
_a10.1007/b101397 _2doi |
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050 | 4 | _aG70.212-.217 | |
072 | 7 |
_aRGW _2bicssc |
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072 | 7 |
_aSCI030000 _2bisacsh |
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_a910.285 _223 |
245 | 1 | 0 |
_aGeographic Information Science _h[electronic resource] : _bThird International Conference, GI Science 2004 Adelphi, MD, USA, October 20-23, 2004 Proceedings / _cedited by Max J. Egenhofer, Christian Freksa, Harvey J. Miller. |
250 | _a1st ed. 2004. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2004. |
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300 |
_aVIII, 348 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v3234 |
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505 | 0 | _aContested Nature of Place: Knowledge Mapping for Resolving Ontological Distinctions Between Geographical Concepts -- Geo-Self-Organizing Map (Geo-SOM) for Building and Exploring Homogeneous Regions -- Can Relative Adjacency Contribute to Space Syntax in the Search for a Structural Logic of the City? -- Semi-automatic Ontology Alignment for Geospatial Data Integration -- Modeling Surface Hydrology Concepts with Endurance and Perdurance -- Procedure to Select the Best Dataset for a Task -- Floating-Point Filter for the Line Intersection Algorithm -- Project Lachesis: Parsing and Modeling Location Histories -- The SPIRIT Spatial Search Engine: Architecture, Ontologies and Spatial Indexing -- Comparing Exact and Approximate Spatial Auto-regression Model Solutions for Spatial Data Analysis -- 3D GIS for Geo-coding Human Activity in Micro-scale Urban Environments -- Arc_Mat, a Toolbox for Using ArcView Shape Files for Spatial Econometrics and Statistics -- A Predictive Uncertainty Model for Field-Based Survey Maps Using Generalized Linear Models -- Information Dissemination in Mobile Ad-Hoc Geosensor Networks -- Public Commons of Geographic Data: Research and Development Challenges -- Alternative Buffer Formation -- Effect of Category Aggregation on Map Comparison -- Simplifying Sets of Events by Selecting Temporal Relations -- Towards a Temporal Extension of Spatial Allocation Modeling -- Formalizing User Actions for Ontologies -- Landmarks in the Communication of Route Directions -- From Objects to Events: GEM, the Geospatial Event Model. | |
520 | _aThis section gives a description of notions used throughout this study. Current achievements in developing action-centered ontologies are also discussed. 2.1 Ontologies In the context of information extraction and retrieval, different kinds of ontologies can be distinguished [15]: • Top-level ontologies describe very general concepts like space and time, not depending on a particular domain, • Domain ontologies and task ontologies describe the vocabulary related to a generic domain or kind of task, detailing the terms used in the top-level ontology, • Application ontologies describe the concepts that depend on the particular domain and task within a specific activity. Several investigations have been conducted to bring actions (tasks) to bear on - tologies. Among them are Chandrasekaran et al. [6] and Mizoguchi et al. [23] in the fields of AI and Knowledge Engineering. For the geospatial domain, Kuhn [21] and Raubal and Kuhn [26] have attempted to support human actions in ontologies for transportation. Acknowledging the importance of human actions in the geographic domain, a research workshop was held in 2002, bringing together experts from diff- ent disciplines to share the knowledge and work on this issue [1]. Camara [5], one of the workshop participants, has proposed that action-driven spatial ontologies are formed via category theory, for the case of emergency action plans. | ||
650 | 0 | _aGeographic information systems. | |
650 | 0 | _aDatabase management. | |
650 | 0 | _aApplication software. | |
650 | 0 | _aInformation storage and retrieval systems. | |
650 | 0 | _aMultimedia systems. | |
650 | 0 | _aEarth sciences. | |
650 | 1 | 4 | _aGeographical Information System. |
650 | 2 | 4 | _aDatabase Management. |
650 | 2 | 4 | _aComputer and Information Systems Applications. |
650 | 2 | 4 | _aInformation Storage and Retrieval. |
650 | 2 | 4 | _aMultimedia Information Systems. |
650 | 2 | 4 | _aEarth Sciences. |
700 | 1 |
_aEgenhofer, Max J. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aFreksa, Christian. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aMiller, Harvey J. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783540235583 |
776 | 0 | 8 |
_iPrinted edition: _z9783662207659 |
830 | 0 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v3234 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/b101397 |
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