Enabling Semantic Search and Knowledge Discovery for ArcGIS Online: A Linked-Data-Driven Approach

Hu, Yingjie; Janowicz, Krzysztof; Prasad, Sathya; Gao, Song

doi:10.1007/978-3-319-16787-9_7

Cited by 20 publications

(30 citation statements)

References 18 publications

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“…The development of Semantic Web technologies enables linked data driven portals. Linked data portals provide new opportunities to organize metadata and retrieve information resources such as text documents, datasets, and multimedia content (Baierer, DrɆge, Trkulja, & Petras, ; Hu, Janowicz, Prasad, & Gao, ; Hu, Janowicz, Prasad, & Gao, ). Linked data resource discovery systems can index domain‐specific information with terms from ontologies.…”

Section: Background and Related Workmentioning

confidence: 99%

Spatial discovery and the research library

Lafia

Jablonski

Kuhn

et al. 2016

Transactions in GIS

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Academic libraries have always supported research across disciplines by integrating access to diverse contents and resources. They now have the opportunity to reinvent their role in facilitating interdisciplinary work by offering researchers new ways of sharing, curating, discovering, and linking research data. Spatial data and metadata support this process because location often integrates disciplinary perspectives, enabling researchers to make their own research data more discoverable, to discover data of other researchers, and to integrate data from multiple sources. The Center for Spatial Studies at the University of California, Santa Barbara (UCSB) and the UCSB Library are undertaking joint research to better enable the discovery of research data and publications. The research addresses the question of how to spatially enable data discovery in a setting that allows for mapping and analysis in a GIS while connecting the data to publications about them. It suggests a framework for an integrated data discovery mechanism and shows how publications may be linked to associated data sets exposed either directly or through metadata on Esri's Open Data platform. The results demonstrate a simple form of linking data to publications through spatially referenced metadata and persistent identifiers. This linking adds value to research products and increases their discoverability across disciplinary boundaries.3

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Section: Background and Related Workmentioning

confidence: 99%

Spatial discovery and the research library

Lafia

Jablonski

Kuhn

et al. 2016

Transactions in GIS

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“…The ArcGIS Online metadata have been converted into RDF, and are hosted in a SPARQL endpoint. For more details about the RDF conversion, entity naming, and data publishing, readers can refer to our previous work (Hu et al ). The LLDA model trained based on http://Data.gov data has been used to automatically assign ISO 19115 topics to the unstructured ArcGIS Online metadata.…”

Section: Prototypementioning

confidence: 99%

Metadata Topic Harmonization and Semantic Search for Linked‐Data‐Driven Geoportals: A Case Study Using ArcGIS Online

Janowicz

Prasad

et al. 2015

Transactions in GIS

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Geoportals provide integrated access to geospatial resources, and enable both authorities and the general public to contribute and share data and services. An essential goal of geoportals is to facilitate the discovery of the available resources. Such process heavily relies on the quality of metadata. While multiple metadata standards have been established, data contributers may adopt different standards when sharing their data via the same geoportal. This is especially the case for user-generated content where various terms and topics can be introduced to describe similar datasets. While this heterogeneity provides a wealth of perspectives, it also complicates resource discovery. With the fast development of the Semantic Web technologies, there is a rise of Linked-Data-driven portals. Although these novel portals open up new ways to organizing metadata and retrieving resources, they lack effective semantic search methods. This paper addresses the two challenges discussed above, namely the topic heterogeneity brought by multiple metadata standards as well as the lack of established semantic search in Linked-Data-driven geoportals. To harmonize the metadata topics, we employ a natural language processing method, namely Labeled Latent Dirichlet Allocation (LLDA), and train it using standardized metadata from Data.gov. With respect to semantic search, we construct thematic and geographic matching features from the textual metadata descriptions, and train a regression model via a human participants experiment. We evaluate our methods by examining their performances in addressing the two issues. Finally, we implement a semantics-enabled and Linked-Data-driven prototypical geoportal using a sample dataset from Esri's ArcGIS Online.

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“…Traditionally, geoportals include information searchers based mainly on a spatial criterion defined either by polygon shapes and/or parameters (e.g. Path and row, decimals or coordinates) [6]. This type of search management is mainly suitable for researchers and academics.…”

Section: Introductionmentioning

confidence: 99%

An Interoperable Cloud Based Geoportal for Discovery and Managment of Earth Observation Products

Sánchez‐Gallegos¹,

J.L²,

Sosa-Sosa³

et al. 2018

Computer Science &Amp; Information Technology

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This paper presents the design and development of an interoperable geoportal service for discovery and management of earth observation products (EOPs). In this service, the geoportal components are encapsulated into virtual containers that are launched into the cloud by using a microservice scheme to solve issues such as interoperability (with other systems) and implementation (over different platforms). A search microservice that analyses the preferences of end-users (settings of spatiotemporal and polygon shapes) and builds clusters of users sharing preferences was included into the geoportal for recommending/delivering, in advance, products matching with end-user preferences. The geoportal service also enables end-users to organize EOPs on-the-fly by using spatiotemporal parameters. A prototype of this service was implemented in a private cloud and connected to a satellite imagery repository of an antenna (ERIS) managed by Mexican Space Agency in a proof of concept. Learned lessons and performance assessments are described through an experimental evaluation with real users' participation. AUTHORSDante D. Sánchez-Gallegos is a master student at

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Enabling Semantic Search and Knowledge Discovery for ArcGIS Online: A Linked-Data-Driven Approach

Cited by 20 publications

References 18 publications

Spatial discovery and the research library

Spatial discovery and the research library

Metadata Topic Harmonization and Semantic Search for Linked‐Data‐Driven Geoportals: A Case Study Using ArcGIS Online

An Interoperable Cloud Based Geoportal for Discovery and Managment of Earth Observation Products

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