Word order variation in spatial descriptions with adverbs
Hörnig, R., Weskott, T., Kliegl, R. & Fanselow, G. (2006). Word order variation in spatial descriptions with adverbs. Memory & Cognition, 34(5), 1183-1192.
Previous research has shown that in a three-term spatial reasoning task, the second premise of a German premise pair... more Previous research has shown that in a three-term spatial reasoning task, the second premise of a German premise pair is especially easy to comprehend if (1) the prepositional object rather than the grammatical subject denotes the given entity, and if (2) the term denoting the given entity precedes the term denoting the new entity. Accordingly, the second premise is easiest to comprehend with noncanonical word order—that is, with the prepositional object in preverbal position denoting the given entity (e.g.,To the right of the given object is the new subject). This finding is explained in terms of contextual licensing of noncanonical word order. Here, we discuss and tested two alternative accounts of contextual licensing,given-new andpartially ordered set relations (Poset). The given-new account claims that noncanonical word order is licensed by the term denoting the given entity preceding the term denoting the new entity. On the Poset account, noncanonical word order is licensed if the preverbal constituent introduces a new entity that stands in a transitive, irreflexive, and asymmetric relation to a given entity. Comprehension times for second premises with spatial adverbs in four different word orders support both accounts of contextual licensing; Poset licensing was stronger than given-new licensing.
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Seen by:Challenges for Qualitative Spatial Reasoning in Linked Geospatial Data (BASR-2011)
In Proceedings of IJCAI 2011 Workshop on Benchmarks and Applications of Spatial Reasoning (BASR), Barcelona, Spain, 2011. Co-authored with Manolis Koubarakis, Kostis Kyzirakos, Manos Karpathiotakis, Charalampos Nikolaou, Michael Sioutis, Dimitrios Michail, Themistoklis Herekakis, Charalampos Kontoes, and Ioannis Papoutsis
Linked geospatial data has recently received attention, as researchers and practitioners have started tapping the... more Linked geospatial data has recently received attention, as researchers and practitioners have started tapping the wealth of geospatial information available on the Web. We discuss some core research problems that arise when querying linked geospatial data, and explain why these are relevant for the qualitative spatial reasoning community. The problems are presented in the context of our recent work on the models stRDF and stSPARQL and their extensions with indefinite geospatial information.
Qualitative world models for soccer robots
Stefan Schiffer, Alexander Ferrein, and Gerhard Lakemeyer.
In Stefan Wölfl and Till Mossakowski, editors, Qualitative Constraint Calculi, Workshop at KI 2006, Bremen, pages 3-14, 2006.
Until now world models in robotic soccer have been mainly quantitative in nature, consisting of fine-grained... more Until now world models in robotic soccer have been mainly quantitative in nature, consisting of fine-grained (numerical) estimates of player positions, ball trajectories, and the like. In contrast, the concepts used in human soccer are largely qualitative. Moving to qualitative world models also for robots has the advantage that it drastically reduces the space of possible game situations that need to be considered and, provided the concepts correspond to those in human soccer theory, it eases the task of agent specification for the designer. In this paper we propose qualitative representations using ideas from spatial cognition and employing Voronoi diagrams. We also discuss how reasoning with these representations is achieved within our underlying agent programming framework.
Given-New Versus New-Given? An Analysis of Reading Times for Spatial Descriptions
by Thom Baguley
Early draft of book chapter
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