scholarly journals Towards Recognition of Spatial Relations between Entities for Polish

2016 ◽  
pp. 119-132 ◽  
Author(s):  
Michał Mirosław Marcińczuk ◽  
Marcin Oleksy ◽  
Jan Wieczorek
Keyword(s):  
Spatial Information ◽  
Text Processing ◽  
Heuristic Method ◽  
Spatial Relation ◽  
Spatial Relations ◽  
Expression Recognition ◽  
Spatial Expression ◽  
Spatial Expressions ◽  
Polish Language ◽  
Definition Of

Towards Recognition of Spatial Relations between Entities for PolishIn this paper, the problem of spatial relation recognition in Polish is examined. We present the different ways of distributing spatial information throughout a sentence by reviewing the lexical and grammatical signals of various relations between objects. We focus on the spatial usage of prepositions and their meaning, determined by the ‘conceptual’ schemes they constitute. We also discuss the feasibility of a comprehensive recognition of spatial relations between objects expressed in different ways by reviewing the existing tools and resources for text processing in Polish. As a result, we propose a heuristic method for the recognition of spatial relations expressed in various phrase structures called spatial expressions. We propose a definition of spatial expressions by taking into account the limitations of the available tools for the Polish language. A set of rules is used to generate candidates of spatial expressions which are later tested against a set of semantic constraints.The results of our work on recognition of spatial expressions in Polish texts were partially presented in (Marcińczuk, Oleksy, & Wieczorek, 2016). In that paper we focused on a detailed analysis of errors obtained using a set of basic morphosyntactic patterns for generating spatial expression candidates - we identified and described the most common sources of errors, i.e. incorrectly recognized or unrecognized expressions. In this paper we focused mainly on the preliminary stages of spatial expression recognition. We presented an extensive review on how the spatial information can be encoded in the text, types of spatial triggers in Polish and a detailed evaluation of morphosyntactic patterns which can be used to generate spatial expression candidates. Rozpoznawanie relacji przestrzennych między obiektami fizycznymi w języku polskimArtykuł dotyczy zagadnienia rozpoznawania relacji przestrzennych w języku polskim. Autorzy przedstawili różne sposoby przekazywania w tekstach informacji na temat relacji przestrzennych między obiektami fizycznymi, uwzględniając sygnały o charakterze leksykalnym i gramatycznym. Istotną częścią artykułu jest omówienie znaczenia przyimków użytych w celu wyrażenia relacji przestrzennych. Znaczenie to kształtowane jest przez schematy konceptualne współtworzone przez poszczególne przyimki. Omówiono również możliwości kompleksowego rozpoznawania relacji przestrzennych wyrażonych za pomocą różnych środków językowych. Służy temu przegląd istniejących zasobów i narzędzi przetwarzania języka polskiego.Jako rezultat autorzy proponują heurystyczną metodę rozpoznawania relacji przestrzennych realizowanych językowo za pomocą struktur składniowych określonych jako wyrażenia przestrzenne. W artykule zaprezentowano definicję wyrażeń przestrzennych uwzględniającą specyfikę narzędzi dostępnych do przetwarzania języka polskiego. Zestaw reguł składniowych umożliwia wytypowanie fraz – kandydatów kwalifikujących się jako wyrażenia przestrzenne, które następnie zostają porównane z adekwatnym zestawem ograniczeń semantycznych.

Spatial information extraction from travel narratives: Analysing the notion of co-occurrence indicating closeness of tourist places

2019 ◽  
Vol 46 (5) ◽  
pp. 581-599 ◽  
Author(s):  
Erum Haris ◽  
Keng Hoon Gan ◽  
Tien-Ping Tan
Keyword(s):  
Spatial Information ◽  
Travel Narratives ◽  
Relation Extraction ◽  
Spatial Relation ◽  
Spatial Relations ◽  
Data Sets ◽  
Data Set ◽  
Standard Relation ◽  
Relevant Notion ◽  
Empirical Interpretation

Recent advancements in social media have generated a myriad of unstructured geospatial data. Travel narratives are among the richest sources of such spatial clues. They are also a reflection of writers’ interaction with places. One of the prevalent ways to model this interaction is a points of interest (POIs) graph depicting popular POIs and routes. A relevant notion is that frequent pairwise occurrences of POIs indicate their geographic proximity. This work presents an empirical interpretation of this theory and constructs spatially enriched POI graphs, a clear augmentation to popularity-based POI graphs. A triplet pattern, rule-based spatial relation extraction technique SpatRE is proposed and compared with standard relation extraction systems Ollie and Stanford OpenIE. A travel blogs data set is also contributed containing labelled spatial relations. The performance is further evaluated on SemEval 2013 benchmark data sets. Finally, spatially enriched POI graphs are qualitatively compared with TripAdvisor and Google Maps to visualise information accuracy.

Spatial-symbolic Query Engine in Anatomy

2012 ◽  
Vol 51 (06) ◽  
pp. 463-478 ◽  
Author(s):  
J. L. V. Mejino ◽  
L. T. Detwiler ◽  
J. D. Franklin ◽  
J. F. Brinkley ◽  
A. Puget
Keyword(s):  
Web Service ◽  
Gold Standard ◽  
Spatial Information ◽  
Spatial Relation ◽  
Spatial Relations ◽  
Spatial Query ◽  
End User ◽  
Anatomy Ontology ◽  
Anatomical Structures ◽  
Symbolic Information

SummaryObjectives: Currently, the primary means for answering anatomical questions such as ‘what vital organs would potentially be impacted by a bullet wound to the abdomen?’ is to look them up in textbooks or to browse online sources. In this work we describe a semantic web service and spatial query processor that permits a user to graphically pose such questions as joined queries over separately defined spatial and symbolic knowledge sources.Methods: Spatial relations (e.g. anterior) were defined by two anatomy experts, and based on a 3-D volume of labeled images of the thorax, all the labeled anatomical structures were queried to retrieve the target structures for every query structure and every spatial relation. A web user interface and a web service were designed to relate existing symbolic information from the Foundational Model of Anatomy ontology (FMA) with spatial information provided by the spatial query processor, and to permit users to select anatomical structures and define queries.Results: We evaluated the accuracy of results returned by the queries, and since there is no independent gold standard, we used two anatomy experts’ opinions as the gold standard for comparison. We asked the same experts to define the gold standard and to define the spatial relations. The F-measure for the overall evaluation is 0.90 for rater 1 and 0.56 for rater 2. The percentage of observed agreement is 99% and Cohen’s kappa coefficient reaches 0.51. The main source of disagreement relates to issues with the labels used in the dataset, and not with the tool itself.Conclusions: In its current state the system can be used as an end-user application but it is likely to be of most use as a framework for building end-user applications such as displaying the results as a 3-D anatomical scene. The system promises potential practical utility for obtaining and navigating spatial and symbolic data.

scholarly journals The Many Ways to Find the “Right” and the “Left”: On dynamic projection models in the encoding of spatial relations

2012 ◽  
Vol 38 ◽  
pp. 338 ◽  
Author(s):  
Tatiana Nikitina
Keyword(s):  
Spatial Representation ◽  
Cognitive Linguistics ◽  
Spatial Relation ◽  
Spatial Relations ◽  
Dynamic Relation ◽  
Dynamic Expression ◽  
Spatial Expressions ◽  
The Many ◽  
The One ◽  
The Right

<p>Since early work by Talmy (1975, 1985), linguistic representation of space has been at the center of research in lexical typology, cognitive linguistics, and psycholinguistics (see, inter alia, the various approaches represented in Slobin (2000), Levinson (2003), Beavers et al. (2010)). Some of the central aspects of spatial representation, however, have remained largely understudied. Particularly poorly understood is the distinction between dynamic and static spatial expressions and the ways that distinction is drawn by speakers of different languages. On the one hand, speakers often choose not to encode a dynamic relation explicitly, even though they have at their disposal a specialized means for unambiguous encoding of a goal or a source of motion (Nikitina 2008, Tutton 2009 for English). On the other hand, speakers sometimes choose to encode a static relation by means of a specialized dynamic expression, even in the absence of any perceivable motion. This paper focuses on the latter aspect of the problem: the use of dynamic expressions for the encoding of static locations. Such use is especially common with expressions encoding a spatial relation for which no specialized adposition exists, including expressions for “right” and “left”.</p>

The Influence of Functional Relations on Spatial Term Selection

1996 ◽  
Vol 7 (1) ◽  
pp. 56-60 ◽  
Author(s):  
Laura A. Carlson-Radvansky ◽  
Gabriel A. Radvansky
Keyword(s):  
Functional Relation ◽  
Spatial Relation ◽  
Spatial Term ◽  
Spatial Expression ◽  
Term Selection ◽  
Functional Relations ◽  
Selection Of

Expressions describing the spatial relation between two objects can be interpreted from a perspective defined by the objects (intrinsic) or by the viewer or the environment (deictic-extrinsic) Identifying the factors that govern the selection of one perspective over another is an important step in understanding the interaction between language and perception In two experiments, we explored the influence of a functional relation between two objects on the formulation of a spatial expression relating the objects Both rating and production tasks showed that people preferred to use intrinsic descriptions in the presence of a functional relation and deictic-extrinsic descriptions in the absence of such a relation These results suggest that contextual aspects of the scene influence spatial term selection

scholarly journals Goal, source, and route preverbs in Latin: their interaction with spatial datives

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Víctor Acedo-Matellán
Keyword(s):  
Spatial Relation ◽  
Spatial Relations ◽  
Syntactic Analysis ◽  
Dative Case ◽  
Configurational Theory

Abstract Prefixed verbs in Latin may take an argument in the dative case, interpreted as the ground of the spatial relation codified by the preverb. This phenomenon is constrained by the semantics of that spatial relation: while preverbs encoding a location, a goal, or a source of motion generally accept the dative argument, preverbs encoding a route do not. I propose a syntactic analysis of this phenomenon, framed within the Spanning framework. I assume an analysis of the spatial dative as an applied argument interpreted as a possessor of the final location of motion. Developing a configurational theory of spatial relations, I show how only the syntax-semantics of the preverbs interpreted as encoding a location, be this final (a goal), initial (a source), or unrelated to motion (a static location), is compatible with the projection of an Appl(icative)P integrating the dative argument. By the same token, pure route preverbs, involving a path but not a location, are correctly predicted to disallow the projection of ApplP, and hence the spatial dative.

Ore textures: problems and opportunities

1991 ◽  
Vol 55 (380) ◽  
pp. 303-315 ◽  
Author(s):  
Paul B. Barton
Keyword(s):  
Spatial Relations ◽  
Ore Deposits ◽  
Chemical Processes ◽  
Process Models ◽  
Textural Features ◽  
The Past ◽  
Geological Processes ◽  
Sequence Of Events ◽  
Definition Of ◽  
Scientific Endeavour

AbstractOver the past several decades, thinking about chemical processes in rocks had been dominated by experimental and theoretical treatments of mineral equilibrium, which is the state from which the time variable has been excluded. But, to an extent exceeding that of any of our sister sciences, we in geology are concerned with the behaviour of things as a function of time; thus equilibrium is but one of several interesting boundary conditions. Textures, (defined as the spatial relations within and among minerals and fluids, regardless of scale or origin) provide a means to sort out and identify successive states. In fact, it is the pattern of evolution of those states that enables us to deduce the processes. We may well draw the analogy with thermodynamics and kinetics, respectively:equilibrium textures and phase assemblages, via thermodynamic analysis → definition of conditions of equilibration,whereaskinetics, as displayed in disequilibrium textures → sequence of events and processes of mineralization.The interpretation of textures is one of the most difficult yet important aspects of the study of rocks and ores, and there are few areas of scientific endeavour that are more subject to misinterpretation. Although the difficulties are many, the opportunites for new understanding are also abundant. Textural interpretations have many facets: some are well established and accepted; some that are accepted may be wrong; others are recognised to be speculative and controversial; and we trust that still other textural features remain to be described and interpreted. This paper will deal principally with low-temperature, epigenetic ore deposits, and will emphasise silica and sphalerite; but extension to other materials is not unreasonable.Ore and gangue minerals react internally, or with their environment, at widely ranging rates, ranging from the almost inert pyrite, arsenopyrite, well-crystallised quartz, and tourmaline to the notoriously fickle copper/iron and copper/silver sulfides. Arrested or incomplete reactions may be identifed by textural criteria and, when appropriately quantified, can provide guides to the duration of geological processes.In recent years so much emphasis has been placed on isotopes, fluids, chemistry, and deposit and process models that the textural features have been ignored. In part this oversight occurs because we have grown accustomed to using superposition, cross-cutting, pseudomorphism, mutual intergrowths, exsolution and so on as off-the-shelf tools, to be grasped and applied without evaluation or even description. Surely science must build on previous work without constant and exhaustive reassessment, but for mineral textures a little reassessment may yield substantial benefit.

Modelling spatial reasoning systems with shape algebras and formal logic

1997 ◽  
Vol 11 (4) ◽  
pp. 273-285 ◽  
Author(s):  
Scott C. Chase
Keyword(s):  
Spatial Reasoning ◽  
Predicate Logic ◽  
Spatial Relations ◽  
Large Set ◽  
First Order ◽  
Reasoning Systems ◽  
Geometric Objects ◽  
Small Set ◽  
Definition Of ◽  
High Level

AbstractThe combination of the paradigms of shape algebras and predicate logic representations, used in a new method for describing designs, is presented. First-order predicate logic provides a natural, intuitive way of representing shapes and spatial relations in the development of complete computer systems for reasoning about designs. Shape algebraic formalisms have advantages over more traditional representations of geometric objects. Here we illustrate the definition of a large set of high-level design relations from a small set of simple structures and spatial relations, with examples from the domains of geographic information systems and architecture.

scholarly journals EXPRESSION AND ORGANIZATION OF GEOGRAPHIC SPATIAL RELATIONS BASED ON TOPIC MAPS

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 1257-1261
Author(s):  
H. J. Liang ◽  
H. Wang ◽  
T. J. Cui ◽  
J. F. Guo
Keyword(s):  
Information Science ◽  
Spatial Database ◽  
Spatial Relation ◽  
Spatial Relations ◽  
Geographical Information ◽  
Knowledge Network ◽  
Effective Management ◽  
Topic Maps ◽  
Complex Knowledge ◽  
Topic Map

Spatial Relation is one of the important components of Geographical Information Science and Spatial Database. There have been lots of researches on Spatial Relation and many different spatial relations have been proposed. The relationships among these spatial relations such as hierarchy and so on are complex and this brings some difficulties to the applications and teaching of these spatial relations. This paper summaries some common spatial relations, extracts the topic types, association types, resource types of these spatial relations using the technology of Topic Maps, and builds many different relationships among these spatial relations. Finally, this paper utilizes Java and Ontopia to build a topic map among these common spatial relations, forms a complex knowledge network of spatial relations, and realizes the effective management and retrieval of spatial relations.

scholarly journals A time-stamp mechanism may provide temporal information necessary for egocentric to allocentric spatial transformations

eLife ◽  
2018 ◽  
Vol 7 ◽  
Author(s):  
Avner Wallach ◽  
Erik Harvey-Girard ◽  
James Jaeyoon Jun ◽  
André Longtin ◽  
Len Maler
Keyword(s):  
Spatial Learning ◽  
Spatial Organization ◽  
Spatial Information ◽  
Spatial Relations ◽  
Temporal Information ◽  
Accurate Estimation ◽  
Neural Recordings ◽  
Brain Circuitry ◽  
Learning Circuits ◽  
Thalamic Region

Learning the spatial organization of the environment is essential for most animals’ survival. This requires the animal to derive allocentric spatial information from egocentric sensory and motor experience. The neural mechanisms underlying this transformation are mostly unknown. We addressed this problem in electric fish, which can precisely navigate in complete darkness and whose brain circuitry is relatively simple. We conducted the first neural recordings in the preglomerular complex, the thalamic region exclusively connecting the optic tectum with the spatial learning circuits in the dorsolateral pallium. While tectal topographic information was mostly eliminated in preglomerular neurons, the time-intervals between object encounters were precisely encoded. We show that this reliable temporal information, combined with a speed signal, can permit accurate estimation of the distance between encounters, a necessary component of path-integration that enables computing allocentric spatial relations. Our results suggest that similar mechanisms are involved in sequential spatial learning in all vertebrates.

Spatial-Prior-Guided Attention for Small Object Detection in Overhead Catenary System

2021 ◽  
Author(s):  
Hang Gong ◽  
Shangdong Zheng ◽  
Zebin Wu ◽  
Yang Xu ◽  
Zhihui Wei ◽  
...  
Keyword(s):  
Object Detection ◽  
Network Architecture ◽  
High Speed ◽  
Spatial Information ◽  
Spatial Relations ◽  
Economic Loss ◽  
Small Object ◽  
Feed Forward Network ◽  
Catenary System ◽  
Small Object Detection

The small defects in overhead catenary system (OCS) can result in long time delays, economic loss and even passenger injury. However, OCS images exhibit great variations with complex background and oblique views which pose a great challenge for small defects detection in high-speed rail system. In this paper, we propose the spatial-prior-guided attention for small object detection in OCS with two main advantages: (1) The spatial-prior is proposed to retain the spatial information between small defects and the electric components in OCS. (2) Based on spatial-prior, the spatial-prior-guided attention model (SAM) is designed to highlight useful information in the features and suppress redundant features response. SAM can model the spatial relations progressively and can be integrated with state-of-the-art feed-forward network architecture with end-to-end training fashion. We conduct extensive experiments on both Split pin datasets and PASCAL–VOC datasets and achieve 97.2% and 79.5% mAP values, respectively. All the experiments demonstrate the competitive performance of our method.

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