The semantics of place-related questions

Kuhn, Walther; Hamzei, Ehsan; Tomko, Martin; Winter, Stephan; Li, Haonan

doi:10.5311/josis.2021.23.161

Cited by 8 publications

(10 citation statements)

References 16 publications

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“…Core concepts of spatial information were proposed by [14,17,30] as generic interfaces to GIS in the sense of conceptual 'lenses' through which the environment can be studied. Core concepts are results of human conceptualization and interpretation and are thus usually not explicit in data types.…”

Section: Core Concepts and Amountsmentioning

confidence: 99%

“…• Fields: capture qualities [30] at locations of some metric space and at some time. A prime example is a temperature field.…”

Section: Core Concepts and Amountsmentioning

confidence: 99%

“…We consider geographic places with bona fide (perceivable) and fiat (conventional) boundaries as objects. • Networks: Networks measure a relationship between objects [29,30]. Networks are e.g.…”

Section: Core Concepts and Amountsmentioning

confidence: 99%

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Algebra of core concept transformations. Procedural meta-data for geographic information

Steenbergen¹,

Top²,

Scheider³

et al. 2022

Preprint

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Transformations are essential for dealing with geographic information. They are involved not only in converting between geodata formats and reference systems, but also in turning geodata into useful information according to some purpose. However, since a transformation can be implemented in various formats and tools, its function and purpose usually remains hidden underneath the technicalities of a workflow. To automate geographic information procedures, we therefore need to model the transformations implemented by workflows on a conceptual level, as a form of procedural knowledge. Although core concepts of spatial information provide a useful level of description in this respect, we currently lack a model for the space of possible transformations between such concepts. In this article, we present the algebra of core concept transformations (CCT). It consists of a type hierarchy which models core concepts as relations, and a set of basic transformations described in terms of function signatures that use such types. Type inference allows us to enrich GIS workflows with abstract machine-readable metadata, by compiling algebraic tool descriptions. This allows us to automatically infer goal concepts across workflows and to query over such concepts across raster and vector implementations. We evaluate the algebra over a set of expert GIS workflows taken from online tutorials.

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Section: Core Concepts and Amountsmentioning

confidence: 99%

“…• Fields: capture qualities [30] at locations of some metric space and at some time. A prime example is a temperature field.…”

Section: Core Concepts and Amountsmentioning

confidence: 99%

See 1 more Smart Citation

Algebra of core concept transformations. Procedural meta-data for geographic information

Steenbergen¹,

Top²,

Scheider³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…A parsing method in a domain-specific QA should be linked to the domain concepts to ease the query generation step. In this paper, the object-based conceptualization of place [28,17] is used as the grounding to design a parsing method for place-related questions. We extend previous studies on analyzing place-related questions [10,33] to capture the extracted concepts and relations.…”

Section: Introductionmentioning

confidence: 99%

Translating Place-Related Questions to GeoSPARQL Queries

Hamzei

Tomko

Winter

2022

Proceedings of the ACM Web Conference 2022

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Many place-related questions can only be answered by complex spatial reasoning, a task poorly supported by factoid question retrieval. Such reasoning using combinations of spatial and non-spatial criteria pertinent to place-related questions is increasingly possible on linked data knowledge bases. Yet, to enable question answering based on linked knowledge bases, natural language questions must first be re-formulated as formal queries. Here, we first present an enhanced version of YAGO2geo, the geospatially-enabled variant of the YAGO2 knowledge base, by linking and adding more than one million places from OpenStreetMap data to YAGO2. We then propose a novel approach to translate the place-related questions into logical representations, theoretically grounded in the core concepts of spatial information. Next, we use a dynamic template-based approach to generate fully executable GeoSPARQL queries from the logical representations. We test our approach using the Geospatial Gold Standard dataset and report substantial improvements over existing methods.

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“…In contrast to many other studies, the spatial component is not only seen as a categorization feature for different places-where is a place located and what is its size-but as a primary characteristic of place attachment. Finally, the paper by Kuhn et al [4] explores the role of place-related question-answering systems and draws from the disciplines of information science and semantics. In particular, their work presented shows how possible questions can be derived from an ontology of spatial inforwww.josis.org mation and a classification of place facets, which can contribute to the further development of current applications in the age of Alexa, Cortana, and Siri.…”

mentioning

confidence: 99%