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2021 Conference article Open Access OPEN

Reflections on the misuses of ORCID iDs
Baglioni M., Mannocci A., Manghi P., Atzori C., Bardi A., La Bruzzo S.
Since 2012, the "Open Researcher and Contributor Identification Initiative" (ORCID) has been successfully running a worldwide registry, with the aim of unequivocally pinpoint researchers and the body of knowledge they contributed to. In practice, ORCID clients, e.g., publishers, repositories, and CRIS systems, make sure their metadata can refer to iDs in the ORCID registry to associate authors and their work unambiguously. However, the ORCID infrastructure still suffers from several "service misuses", which put at risk its very mission and should be therefore identified and tackled. In this paper, we classify and qualitatively document such misuses, occurring from both users (researchers and organisations) of the ORCID registry and the ORCID clients. We conclude providing an outlook and a few recommendations aiming at improving the exploitation of the ORCID infrastructure.Source: IRCDL 2021 - 17th Italian Research Conference on Digital Libraries, pp. 117–125, Online conference, 18-19/02/2021
Project(s): OpenAIRE-Advance via OpenAIRE

See at: ceur-ws.org Open Access | ISTI Repository Open Access | CNR ExploRA Open Access


2021 Dataset Unknown

OpenAIRE research graph: dumps for research communities and initiatives
Manghi P., Atzori C., Bardi A., Baglioni M., Schirrwagen J., Dimitropoulos H., La Bruzzo S., Foufoulas I., Lohden A., Backer A., Mannocci A., Horst M., Czerniak A., Kiatropoulou K., Kokogiannaki A., De Bonis M., Artini M., Ottonello E., Lempesis A., Ioannidis A., Summan F.
This dataset contains dumps of the OpenAIRE Research Graph containing metadata records relevant for the research communities and initiatives collaborating with OpenAIRE. Each dataset is a tar file containing gzip files with one json per line. Each json is compliant to the schema available at DOI: 10.5281/zenodo.3974226DOI: 10.5281/zenodo.3974604
Project(s): RISIS 2 via OpenAIRE, BE OPEN via OpenAIRE, OpenAIRE-Advance via OpenAIRE

See at: CNR ExploRA


2021 Dataset Unknown

OpenAIRE Covid-19 publications, datasets, software and projects metadata
Bardi A., Kuchma I., Pavone G., Artini M., Atzori C., Backer A., Baglioni M., Czerniak A., De Bonis M., Dimitropoulos H., Foufoulas I., Horst M., Iatropoulou K., Jacewicz P., Kokogiannaki A., La Bruzzo S., Lazzeri E., Lohden A., Manghi P., Mannocci A., Manola N., Ottonello E., Schirrwagen J.
This dump provides access to the metadata records of publications, research data, software and projects that may be relevant to the Corona Virus Disease (COVID-19) fight. The dump contains records of the OpenAIRE COVID-19 Gateway (https://covid-19.openaire.eu/), identified via full-text mining and inference techniques applied to the OpenAIRE Research Graph (https://explore.openaire.eu/). The Graph is one of the largest Open Access collections of metadata records and links between publications, datasets, software, projects, funders, and organizations, aggregating 12,000+ scientific data sources world-wide, among which the Covid-19 data sources Zenodo COVID-19 Community, WHO (World Health Organization), BIP! FInder for COVID-19, Protein Data Bank, Dimensions, scienceOpen, and RSNA. The dump consists of a gzip file containing one json per line. Each json is compliant to the schema available at https://doi.org/10.5281/zenodo.3974226DOI: 10.5281/zenodo.3980490
Project(s): OpenAIRE-Advance via OpenAIRE

See at: CNR ExploRA


2020 Conference article Open Access OPEN

Context-Driven Discoverability of Research Data
Baglioni M., Manghi P., Mannocci A.
Research data sharing has been proved to be key for accelerating scientific progress and fostering interdisciplinary research; hence, the ability to search, discover and reuse data items is nowadays vital in doing science. However, research data discovery is yet an open challenge. In many cases, descriptive metadata exhibit poor quality, and the ability to automatically enrich metadata with semantic information is limited by the data files format, which is typically not textual and hard to mine. More generally, however, researchers would like to find data used across different research experiments or even disciplines. Such needs are not met by traditional metadata description schemata, which are designed to freeze research data features at deposition time. In this paper, we propose a methodology that enables "context-driven discovery" for research data thanks to their proven usage across research activities that might differ from the original one, potentially across diverse disciplines. The methodology exploits the collection of publication-dataset and dataset-dataset links provided by OpenAIRE Scholexplorer data citation index so to propagate articles metadata into related research datasets by leveraging semantic relatedness. Such "context propagation" process enables the construction of "context-enriched" metadata of datasets, which enables "context-driven" discoverability of research data. To this end, we provide a real-case evaluation of this technique applied to Scholexplorer. Due to the broad coverage of Scholexplorer, the evaluation documents the effectiveness of this technique at improving data discovery on a variety of research data repositories and databases.Source: 24th International Conference on Theory and Practice of Digital Libraries, TPDL 2020, pp. 197–211, Lyon, France, August 25-27, 2020
DOI: 10.1007/978-3-030-54956-5_15
Project(s): OpenAIRE-Advance via OpenAIRE

See at: ZENODO Open Access | zenodo.org Open Access | academic.microsoft.com Restricted | link.springer.com Restricted | link.springer.com Restricted | link.springer.com Restricted | CNR ExploRA Restricted


2020 Report Open Access OPEN

RISIS 2 - Opening of Open Data VRE
Assante M., Baglioni M., Bardi A., Mangiacrapa F., Pagano P.
This report is a short document accompanying the Deliverable "D4.2 Opening of Open Data VRE", which is of type: "Websites, patents filling, etc.". It describes the design of the software components involved in the Open Data VRE, deployed to serve the current needs of the RISIS community.Source: Project report, RISIS 2, D4.2, 2020
Project(s): RISIS 2 via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2019 Report Open Access OPEN

The OpenAIRE research graph: third-party publishing APIs
Atzori C., Baglioni M., Bardi A., Manghi P., La Bruzzo S., De Bonis M., Dell'Amico A., Artini M., Mannocci A., Ottonello E.
This work describes the specification of the OpenAIRE publishing APIs that support third-party services at publishing metadata about interlinked and packaged research products into the OpenAIRE Research Graph, in respect of the OpenAIRE interoperability guidelines (https://guidelines.openaire.eu). Research products generated by researchers using services of research infrastructures are today manually published by researchers in a repository external to their research infrastructure. This phase is often considered an extra burden, because researchers have to fill in metadata forms with information that is already available in the scope of the services they used. By using the OpenAIRE publishing APIs, services of research infrastructures can implement an on-demand publishing workflow for any type of research products to support their researchers at improving the FAIRness of their research products and relief them from the tedious step of finding a suitable repository and manually depositing the products in it.Source: ISTI Technical reports, 2019

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2019 Conference article Open Access OPEN

The OpenAIRE Research Community Dashboard: On Blending Scientific Workflows and Scientific Publishing
Baglioni M., Bardi A., Kokogiannaki A., Manghi P., Iatropoulou K., Principe P., Vieira A., Nielsen L. H., Dimitropoulos H., Foufoulas I., Manola N., Atzori C., La Bruzzo S., Lazzeri E., Artini M., De Bonis M., Dell'Amico A.
Despite the hype, the effective implementation of Open Science is hindered by several cultural and technical barriers. Researchers embraced digital science, use "digital laboratories" (e.g. research infrastructures, thematic services) to conduct their research and publish research data, but practices and tools are still far from achieving the expectations of transparency and reproducibility of Open Science. The places where science is performed and the places where science is published are still regarded as different realms. Publishing is still a post-experimental, tedious, manual process, too often limited to articles, in some contexts semantically linked to datasets, rarely to software, generally disregarding digital representations of experiments. In this work we present the OpenAIRE Research Community Dashboard (RCD), designed to overcome some of these barriers for a given research community, minimizing the technical efforts and without renouncing any of the community services or practices. The RCD flanks digital laboratories of research communities with scholarly communication tools for discovering and publishing interlinked scientific products such as literature, datasets, and software. The benefits of the RCD are show-cased by means of two real-case scenarios: the European Marine Science community and the European Plate Observing System (EPOS) research infrastructure.Source: 23rd International Conference on Theory and Practice of Digital Libraries, TPDL, pp. 56–69, Oslo, Norway, September 9-12, 2019
DOI: 10.1007/978-3-030-30760-8_5
DOI: 10.5281/zenodo.3467104
DOI: 10.5281/zenodo.3467103
Project(s): OpenAIRE-Connect via OpenAIRE, OpenAIRE-Advance via OpenAIRE

See at: ISTI Repository Open Access | repositorium.sdum.uminho.pt Open Access | ZENODO Open Access | academic.microsoft.com Restricted | dblp.uni-trier.de Restricted | link.springer.com Restricted | link.springer.com Restricted | CNR ExploRA Restricted | rd.springer.com Restricted


2019 Dataset Unknown

OpenAIRE Research Graph Dump
Manghi P., Atzori C., Bardi A., Schirrwagen J., Dimitropoulos H., La Bruzzo S., Foufoulas I., Loehden A., Baecker A., Mannocci A., Horst M., Baglioni M., Czerniak A., Kiatropoulou K., Kokogiannaki A., De Bonis M., Artini M., Ottonello E., Lempesis A., Nielsen L. H., Ioannidis A., Bigarella C., Summan F.
The OpenAIRE Research Graph is one of the largest open scholarly record collections worldwide, key in fostering Open Science and establishing its practices in the daily research activities. Conceived as a public and transparent good, populated out of data sources trusted by scientists, the Graph aims at bringing discovery, monitoring, and assessment of science back in the hands of the scientific community. Imagine a vast collection of research products all linked together, contextualised and openly available. For the past ten years OpenAIRE has been working to gather this valuable record. OpenAIRE is pleased to announce the beta release of its Research Graph, a massive collection of metadata and links between scientific products such as articles, datasets, software, and other research products, entities like organisations, funders, funding streams, projects, communities, and data sources. As of today, the OpenAIRE Research Graph aggregates around 450Mi metadata records with links collecting from 10,000 data sources trusted by scientists, including repositories registered in OpenDOAR, Open Access journals registered in DOAJ, Crossref, Unpaywall, ORCID and Microsoft Academic Graph. After cleaning, deduplication, and fine-grained classification processes, they narrow down to ~100Mi publications, ~8Mi datasets, ~200K software research products, 8Mi other products linked together with semantic relations. More than 10Mi full-texts of Open Access publications are mined by algorithms to enrich metadata records with additional properties and links among research products, funders, projects, communities, and organizations. Thanks to the mining algorithm, the graph is completed with 480Mi semantic relations. The OpenAIRE Research graph is available via our BETA Explore Portal and you can download it from Zenodo.DOI: 10.5281/zenodo.3516918
Project(s): OpenAIRE-Advance via OpenAIRE

See at: CNR ExploRA


2019 Report Open Access OPEN

The OpenAIRE Research Graph Data Model
Manghi P., Bardi A., Atzori C., Baglioni M., Manola N., Schirrwagen J., Principe P.
The purpose of the European OpenAIRE infrastructure is to facilitate, foster, support, and monitor Open Science scholarly communication in Europe. The infrastructure has been operational for almost a decade and successful in linking people, ideas and resources in support of the free flow, access, sharing, and re-use of research outcomes. To this aim it offers dissemination and training on Open Access and Open Science, facilitates exchange of knowledge, and operates the technical services required to facilitate and monitor Open Science publishing trends and research impact across geographic and discipline boundaries. OpenAIRE services populate a research graph whose objects are scientific results, organizations, funders, communities, organizations, and data sources. In this article we describe the data model, inspired by several existing metadata standards.Source: ISTI Technical reports, 2019
DOI: 10.5281/zenodo.2643199
DOI: 10.5281/zenodo.2643198
Project(s): OPENAIREPLUS via OpenAIRE, OPENAIRE via OpenAIRE, OpenAIRE2020 via OpenAIRE, OpenAIRE-Connect via OpenAIRE, OpenAIRE-Advance via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access | ZENODO Open Access


2019 Journal article Open Access OPEN

OpenAIRE: Advancing open science
Manghi P., Artini M., Atzori C., Baglioni M., Bardi A., La Bruzzo S., De Bonis M., Dimitropoulos H., Foufoulas I., Iatropoulou K., Manola N., Martziou S., Principe P.
OpenAIRE, the point of reference for Open Access in Europe, is now addressing the problem of enabling the Open Science paradigm. To this aim it will provide services to: (i) overcome the limits of today's scientific communication landscape, by allowing research communities and the relative e-infrastructures to fully publish, interlink, package and reuse their research artefacts (e.g. literature, data, and software) and their funding grants within the European and global ecosystem as supported/promoted by OpenAIRE, (ii) enable end-users (e.g. researchers, funder officers) to search and consult a rich and up-to-date knowledge graph of research results and (iii) enable scientific and educational information repositories and publishers to subscribe and be notified of changes in the OpenAIRE knowledge graph. These combined actions will bring long-term and immediate benefits to research communities, research organisations, repository managers, and funders by affecting the way research results are disseminated and reused. On the one hand, publishing the interlinked and packaged research literature, data and software via OpenAIRE drives research communities to an Open Science transition in a consistent and interoperable fashion. On the other hand, the resulting infrastructure concretely enables the construction of Open Science oriented services, supporting practices such as machine-assisted research reproducibility and evaluation.Source: The Grey journal (Print) 15 (2019): 141–146.
Project(s): OpenAIRE-Connect via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Restricted


2018 Journal article Open Access OPEN

Navigating the unfolding open data landscape in ecology and evolution
Culina A., Baglioni M., Crowther T. W., Visser M. E., Woutersen-windhouwer S., Manghi P.
Open access to data is revolutionizing the sciences. To allow ecologists and evolutionary biologists to confidently find and use the existing data, we provide an overview of the landscape of online data infrastructures, and highlight the key points to consider when using open data. We introduce an online collaborative platform to keep a community-driven, updated list of the best sources that enable search for data in one interface. In doing so, our aim is to lower the barrier to accessing open data, and encourage its use by researchers hoping to increase the scope, reliability and value of their findings.Source: Nature ecology & evolution On line 2 (2018): 420–426. doi:10.1038/s41559-017-0458-2
DOI: 10.1038/s41559-017-0458-2

See at: ISTI Repository Open Access | CNR ExploRA Open Access | KNAW Repository Open Access | www.nature.com Open Access | Nature Ecology & Evolution Open Access | Nature Ecology & Evolution Restricted | Nature Ecology & Evolution Restricted | Nature Ecology & Evolution Restricted | Nature Ecology & Evolution Restricted | Nature Ecology & Evolution Restricted | Nature Ecology & Evolution Restricted | Nature Ecology & Evolution Restricted | Nature Ecology & Evolution Restricted | Nature Ecology & Evolution Restricted | Nature Ecology & Evolution Restricted | Nature Ecology & Evolution Restricted


2018 Conference article Open Access OPEN

OpenAIRE: Advancing open science
Manghi P., Artini M., Atzori C., Baglioni M., Bardi A., La Bruzzo S., De Bonis M., Dimitropoulos H., Foufoulas I., Iatropoulou K., Manola N., Martziou S., Principe P.
OpenAIRE, the point of reference for Open Access in Europe, is now addressing the problem of enabling the Open Science paradigm. To this aim it will provide services to: (i) overcome the limits of today's scientific communication landscape, by allowing research communities and the relative e-infrastructures to fully publish, interlink, package and reuse their research artefacts (e.g. literature, data, and software) and their funding grants within the European and global ecosystem as supported/promoted by OpenAIRE, (ii) enable end-users (e.g. researchers, funder officers) to search and consult a rich and up-to-date knowledge graph of research results and (iii) enable scientific and educational information repositories and publishers to subscribe and be notified of changes in the OpenAIRE knowledge graph. These combined actions will bring long-term and immediate benefits to research communities, research organisations, repository managers, and funders by affecting the way research results are disseminated and reused. On the one hand, publishing the interlinked and packaged research literature, data and software via OpenAIRE drives research communities to an Open Science transition in a consistent and interoperable fashion. On the other hand, the resulting infrastructure concretely enables the construction of Open Science oriented services, supporting practices such as machine-assisted research reproducibility and evaluation.Source: GL19 - Nineteenth International Conference on Grey Literature, pp. 107–112, Roma, Italy, 23-24 October 2017
DOI: 10.26069/greynet-2018-000.010-gg
Project(s): OpenAIRE-Connect via OpenAIRE

See at: greyguide.isti.cnr.it Open Access | ISTI Repository Open Access | CNR ExploRA Open Access


2017 Contribution to conference Open Access OPEN

OpenAIRE: The OpenScience European Infrastructure
Artini M., Atzori C., Baglioni M., Bardi A., Biagioni S., De Bonis M., Dell'Amico A., La Bruzzo S., Manghi P.
OpenAIRE , the point of reference for Open Access in Europe, is now addressing the problem of enabling the Open Science paradigm. To this aim it will provide services to: (i) overcome the limits of today's scientific communication landscape, by allowing research communities and the relative e-infrastructures to fully publish, interlink, package and reuse their research artefacts (e.g. literature, data, and software) and their funding grants within the European and global ecosystem as supported/promoted by OpenAIRE, (ii) enable end-users (e.g. researchers, funder officers) to search and consult a rich and up-to-date knowledge graph of research results and (iii) enable scientific and educational information repositories and publishers to subscribe and be notified of changes in the OpenAIRE knowledge graph. These combined actions will bring long-term and immediate benefits to research communities, research organisations, repository managers, and funders by affecting the way research results are disseminated and reused. On the one hand, publishing the interlinked and packaged research literature, data and software via OpenAIRE drives research communities to an Open Science transition in a consistent and interoperable fashion. On the other hand, the resulting infrastructure concretely enables the construction of Open Science oriented services, supporting practices such as machine-assisted research reproducibility and evaluation.Source: Nineteenth International Conference on Grey Literature - Public Awareness and Access to Grey Literature, pp. 13–13, Roma, CNR, 23-24 October 2017
Project(s): OpenAIRE-Advance via OpenAIRE

See at: greyguide.isti.cnr.it Open Access | ISTI Repository Open Access | CNR ExploRA Open Access


2017 Report Restricted

OpenAIRE - D4.1 OpenAIREdata model extension
Manghi P., Atzori C., Bardi A., Baglioni M., Zoppi F.
The aim of this deliverable is to describe how the OpenAIRE data model is extended for the representation of artefacts different from publications and datasets. In particular, OpenAIRE-Connect extends the OpenAIRE data model with: (i) entities for there presentation of research communities, research methods and research packages; (ii) relationships between those new entities and the already existing OpenAIRE entities; (iii) new controlled vocabularies for properties of research methods and packages; and(iv) new termstobeaddedtocontrolledvocabulariesalreadyinusebytheOpenAIREinfrastructure. Requirements have been collected from the research communities involved in OpenAIRE-Connect, which helpedthedefinitionofthemodelextensionsbyspecifyingtheircurrentpracticeanddesiderataaboutthe publishingofresearchartefactsintheirspecificdiscipline.Inadditiontotherequirementsoftheresearch communities, requirements and expectations from the existing "consumers" of the OpenAIRE infrastructure, including data sources (providing content to OpenAIRE), portal end-users of various roles (researchers, project coordinators, general public, research communities), OpenAIRE data curators (responsibleoftheworkflowsforcollecting,harmonizing,de-duplicating,inferringcontent),andthird-party services(accessing content via APIs), have been considered. The data model will be subject to changes in the future, depending on the evolution of the requirements of the OpenAIRE infrastructure and of the communities involved in OpenAIRE-Connect.Source: Project report, OpenAIRE, Deliverable D4.1, 2017
Project(s): OpenAIRE-Connect via OpenAIRE

See at: CNR ExploRA Restricted | support.d4science.org Restricted


2017 Report Restricted

OpenAIRE - OpenAIRE back-end and Invenio upgrade: specification and releaseplan
Manghi P., Atzori C., Bardi A., Baglioni M., Nielsen L. H.
The aim of this document is to explain in detail how the software release plan for upgrading OpenAIRE back-ends and Invenio according to the data model described in D4.1OpenAIREDatamodelextension will be accomplished by the technical partners. For this, it will illustrate the plan of design, development, testing, and integration into beta and production of the infrastructure services to be delivered by T4.1 (OpenAIRE extension to research methods and artifact packages) and T4.2 OpenAIRE's Zenodo for research methodsandartifactpackages).Theplan's technical activities will be supervised and led by CNR and carried out across the technical partners CNR and CERN, in synergy with the partners Jisc, UMinho, UniHB, PIN, CNRS,IRD,ICRE8. The deliverable is on-going and will be updated at M15 (before first BETA release of the service), M23 (beforesecondBETAreleaseoftheservice),andM27 (beforeproductionreleaseoftheservice).The first release of this document reports on extensions to be provided byM8. Toease the update of the planand support the collaborativeapproach, the deliverableis published as a wiki and is available at https://support.d4science.org/projects/openaire-connect-wiki/wiki/D4_2.Source: Project report, OpenAIRE, Deliverable D4.2, 2017
Project(s): OpenAIRE-Connect via OpenAIRE

See at: CNR ExploRA Restricted | support.d4science.org Restricted


2017 Report Restricted

OpenAIRE - OpenAIRE publishing APIs: specification and release plan
Manghi P., Bardi A., Baglioni M., Atzori C.
The aim of this deliverable is to provide the specification of the software and the release plan for the OpenAIRE publishing APIsthat support third-party services at publishingmetadata about interlinked and packaged research productsin to the OpenAIRE Information Graph. The OpenAIRE publishing APIs supports the concept of "continuous publishing" in digital research settings where researchers conduct their activities in digital laboratories using ICT tools and services for processing and analysing research data. By using the OpenAIRE publishing APIs, a service/tool can automatically publish metadata on behalf of the researchers. The service/tool and its underlying infrastructure is responsible for keeping persistent identifiers, preserving the payload of the objects and the metadata.The service pushes metadata into OpenAIRE,the effect being: o the metadata record is immediately visible via the OpenAIRE search portal and APIs; o the metadata record will be cleaned and de-duplicated in a second stage according to the OpenAIRE content provision workflow described at https://www.openaire.eu/aggregation-and-contentprovision-workflows and http://doi.org/10.5281/zenodo.996006. Researchers benefit from a service that uses the OpenAIRE publishing APIs in several ways: o The service will support the generation of metadata to improve the FAIRness of the relative research products; o Researchers are relieved of the burden of depositing the products they want to publish in a repositoryexternaltotheirdigitallaboratory; o Researchers can choose to publish research products at any step of their research activity. The full specification of the APIs are published as a wiki and available at https://support.d4science.org/projects/openaire-connect-wiki/wiki/D4_5.Source: Project report, OpenAIRE, Deliverable D4.5, 2017
Project(s): OpenAIRE-Connect via OpenAIRE

See at: CNR ExploRA Restricted | support.d4science.org Restricted


2017 Report Restricted

OpeanAIRE - Catch-All Notification BrokerBack-end: specification and release plan
Atzori C., Baglioni M., Bardi A., Manghi P.
The aim of this deliverable is to present the functional requirements, a specification of the software,and a release plan for the deployment of the OpenAIRE-connect Catch-All Notification Broker Service ( CAB Service ). The CAB Service will connect all types of research artefacts providers(institutional repositories,publishers, data, repositories,and CRIS systems) and allow them to subscribe and be notified by OpenAIRE of events interesting to them. These notifications will comprise: 1) the existence of artefacts of interest to the providers (which may pertain their collection) 2)the existence of links from artefacts in their collection to other artefacts. The CAB Service will extend OpenAIRE's notification brokering services, which serves literature repositories, and will broaden the content provider base with the ones that serve specific research communities. Content provider managers will be allowed to register as consumers of the service, set and test the service (preview the results of the service over some subscriptions), to commit their subscriptions, and finally to manage their history of notifications overtime. The broker service will be tested in two bata releases and changed and/or updated following the requirements obtained from the betas. The deliverable is published as a wiki and is available at https://support.d4science.org/projects/openaire-connect-wiki/wiki/D5_1.Source: Project report, OpenAIRE, Deliverable D5.1, 2017
Project(s): OpenAIRE-Connect via OpenAIRE

See at: CNR ExploRA Restricted | support.d4science.org Restricted


2013 Journal article Open Access OPEN

How you move reveals who you are: Understanding human behavior by analyzing trajectory data
Renso C., Baglioni M., Fernandes De Macêdo J. A., Trasarti R., Wachowicz M.
The widespread use of mobile devices is producing a huge amount of trajectory data, making the discovery of movement patterns possible, which are crucial for understanding human behavior. Significant advances have been made with regard to knowledge discovery, but the process now needs to be extended bearing in mind the emerging field of behavior informatics. This paper describes the formalization of a semantic-enriched KDD process for supporting meaningful pattern interpretations of human behavior. Our approach is based on the integration of inductive reasoning (movement pattern discovery) and deductive reasoning (human behavior inference). We describe the implemented Athena system, which supports such a process, along with the experimental results on two different application domains related to traffic and recreation management. © 2012 Springer-Verlag London Limited.Source: Knowledge and Information Systems 37 (2013): 331–362. doi:10.1007/s10115-012-0511-z
DOI: 10.1007/s10115-012-0511-z

See at: Knowledge and Information Systems Open Access | Knowledge and Information Systems Restricted | Knowledge and Information Systems Restricted | Knowledge and Information Systems Restricted | link.springer.com Restricted | Knowledge and Information Systems Restricted | Knowledge and Information Systems Restricted | Knowledge and Information Systems Restricted | CNR ExploRA Restricted | Knowledge and Information Systems Restricted


2011 Conference article Restricted

Improving geodatabase semantic querying exploiting ontologies
Baglioni M., Masserotti M. V., Renso C., Spinsanti L.
Geospatial semantic querying to geographical databases has been recognized as an hot topic in GIS research. Most approaches propose to adopt an ontology as a knowledge representation structure on top of the database, representing the concepts the user can query. These concepts are typically directly mapped to database tables. In this paper we propose a methodology where the ontology is further exploited mapping axioms to spatial SQL queries. The main advantage of this approach is that semantic-rich geospatial queries can be abstractly represented in the ontology and can be automatically translated into spatial SQL queries.Source: Geospatial Semantics. 4th International Conference, GeoS 2011, pp. 16–33, Brest, Francia, 12-13 May 2011
DOI: 10.1007/978-3-642-20630-6_2

See at: academic.microsoft.com Restricted | core.ac.uk Restricted | dblp.uni-trier.de Restricted | doi.org Restricted | link.springer.com Restricted | link.springer.com Restricted | CNR ExploRA Restricted | publications.jrc.ec.europa.eu Restricted | rd.springer.com Restricted | www.researchgate.net Restricted | www.springerlink.com Restricted


2010 Report Open Access OPEN

An algorithm to enhance queries over a geodatabase
Baglioni M., Masserotti M. V., Renso C., Spinsanti L.
Geospatial semantic querying to spatial databases has been recognized as a hot topic in GIS research, although no standardized approaches have been proposed so far. However, a common solution is to adopt an ontology as a knowledge representation structure on top of a spatial database to support user queries. In this context, we propose an approach to build an ontology which, not only represents the concepts stored in the database and their semantic abstractions, but it is also capable of managing the defined specializations of such concepts. The methodology introduced in this paper aims at building this richer ontology and the associated materialized views to handle the semantic query translation.Source: ISTI Technical reports, 2010

See at: ISTI Repository Open Access | CNR ExploRA Open Access