Linking crowdsourced observations with INSPIRE

نویسنده

  • Stefan Wiemann
چکیده

The combination of spatial data from the variety of sources on the web, being either legislative, commercially or voluntarily driven, is a major requirement for the establishment of a fully integrated geospatial web. Therefore, spatial data fusion techniques need to be linked to current web-developments, in particular on Spatial Data Infrastructures and the Semantic Web, to allow for standardized and effective use of combined spatial data for information retrieval. In this paper, crowdsourced environmental observations, representing the rapidly increasing amount of voluntarily collected data on the web, and INSPIRE, acting as the legal framework for spatial environmental information in Europe, are chosen to design and develop capabilities for spatial data fusion on the web. Possible use cases show mutual benefits for both volunteers and INSPIRE data providers, and might thus facilitate further collaboration. A prototypical implementation based on common SDI and Linked Data standards demonstrates the feasibility of the proposed approach and offers a starting point for further exploration.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

LSDSem 2017 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics

We present a semi-supervised clustering approach to induce script structure from crowdsourced descriptions of event sequences by grouping event descriptions into paraphrase sets (representing event types) and inducing their temporal order. Our model exploits semantic and positional similarity and allows for flexible event order, thus overcoming the rigidity of previous approaches. We incorporat...

متن کامل

Cross-Language Person-Entity Linking from Twenty Languages

The goal of entity linking is to associate references to some entity that are found in unstructured natural language content to an authoritative inventory of known entities. This paper describes the construction of six test collections for cross-language person-entity linking that together span 22 languages. Fully automated components were used together with two crowdsourced validation stages t...

متن کامل

Alignment: a collaborative, system aided, interactive ontology matching platform

Ontology matching is a crucial problem in the world of Semantic Web and other distributed, open world applications. Diversity in tools, knowledge, habits, language, interests and usually level of detail may drive in heterogeneity. Thus, many automated applications have been developed, implementing a large variety of matching techniques and similarity measures, with impressive results. However, ...

متن کامل

Bringing 3D Models Together: Mining Video Liaisons in Crowdsourced Reconstructions

The recent advances in large-scale scene modeling have enabled the automatic 3D reconstruction of landmark sites from crowdsourced photo collections. Here, we address the challenge of leveraging crowdsourced video collections to identify connecting visual observations that enable the alignment and subsequent aggregation, of disjoint 3D models. We denote these connecting image sequences as video...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014