This report will present in detail the enhancements on three existing databases on which KNOWMAK will ground (publications, projects, patents) and particularly the outcome of the state of tagging process concerning ontology, actors and geography. Specific bottlenecks and issues which need to be solved will also be highlighted.
This deliverable will extend D5.1 in two directions: covering also the harmonization of actors involved in social innovation projects and of lead users; refining the actor’s harmonization methodologies based on the experiences made in KNOWMAK. The report will also discuss critical issues which should be addressed in the future in order to extent further the level of harmonization.
This deliverable will report on the outcome of the user testing of the full KNOWMAK tool. It will provide an evaluation of the usability of the tool and of the user satisfaction. This deliverable might lead to some final adaptation of the tool; it will be also an important reference for the future development of the service, for marketing and dissemination.
This deliverable with the critical issue of how to identify from documentary sources the relevant social innovation projects (M18); this deliverable will be the basis of the construction of the database of social innovation projects and related actors. It will specifically highlight the value of different data sources, search strategies and inclusion/exclusion criteria for the relevant social innovation projects.
This deliverable will provide a detailed description of the data model, as well as of all technical specifications needed in order to implement the pilot database. The data structure will be refined subsequently based on the experience of usage. The data structure will also provide guidance on how to develop the user interfaces and visualization tools.
The handbook will be a key document storing in one place all methodological choices of the KNOWMAK project, in order to allow for its future maintenance. A first full release will be provided by M18 together with the launch of the pilot tool.
In this deliverable, live reports of user experiences will be provided in the form of a blog for user comments and user testimonials on the value of the tool. Such information will also critical for dissemination purposes.
This deliverable will present the outcome of the dissemination activities, including a summary of activities, measures of their outreach and of their impact on the usage of the tool. Recommendations will be presented for future dissemination of the service in the exploitation phase.
This report will cover two main items: the structure and content of the ontology developed in WP2 and the methods and tools which will be applied by the consortium members to tag data the three classical data sources in KNOWMAK (publications, patents, projects). This report and the related methods will be therefore a core input for WP3 activities.
This report will present the final changes on the three databases and the outcome of the tagging process, specifically based on the extend ontology system released at M21 and on the full list of actors (including also non-conventional actors and lead users identified in WP4).
This deliverable will follow and extend D2.2 in two directions: first, a refined and extended version of the ontology and related vocabulary will be provided; second, the methods for tagging will be refined and extended to the two new data sources concerning social innovation projects and influential users. This deliverable will be therefore the basis for final tagging in WP3 and WP4.
This deliverable will present the approach chosen and the methodology for the creation of a common list of actors across all KNOWMAK data sources and detailed the techniques for the creation of the list. A preliminary list of actors will also be provided.
This deliverable will include a methodological report explaining how influential users have been identified (sources, search strategies, selection criteria and a database of users characterized by geolocation information and other metadata, like followers, activity, etc.
The KNOWMAK handbook will be updated as a running document during the course of the project and delivered as a final document at the end of the project. D6.6 will therefore be a key deliverable for the hand-over of the KNOWMAK tool to the exploitation phase.
This deliverable will report on the outcome of the user testing of the pilot. Besides usual metrics for user satisfaction and the evaluation of usability, it will provide recommendations on key improvements on the tool and interface to be made for the final release.
This deliverable will include a final release of the KNWOMAK website including full functionalities and visualization tools for end users, as well as access to indicators from all five data sources.
This deliverable will include a pilot release of the KNWOMAK website including a (restricted) number of functionalities and visualization tools for end users. The website will provide access to the pilot database covering three sources of data (publications, patents, projects).
For reasons of dissemination and promotion of our main output, it makes sense to present visualisation screenshots and exemplary findings drawn from KNOWMAK data in written form on an infographics poster. This will allow us to present our work on conferences like ESOF, etc. and can also be used as a backdrop in project events.
This deliverable will provide a word press blog describing the main features of the KNOWMAK visualisation environment, including screenshots of selected views. It will help to disseminate and exploit our tool, allowing us to be visible in a variety of audiences. The text will be adjusted to the respective audiences (data visualisation, science policy, etc.)
This database will contain a set of documents retrieved from different sources which will be used for the development of ontologies on societal grand challenges and key enabling technologies, following the approach detailed in task 2.1. A target of around 100 documents is set.
This deliverable will follow D2.1 by extending the set of documents through searching for more documents that define “societal challenges” and “emerging technologies” from the open web, using text engineering methods on the basis of the similarity to the initial set of documents identified manually. Extension will take into consideration specific issues revealed by ontology usage, like the need of an extended vocabulary for some of the ontology terms.
This deliverable will have two components: first, a first list of indicators which will provided by the KNOWMAK tool, based on conceptual reasoning and interaction between the user groups; second, detailed methodological guidance on how the indicator scores will be extracted from the raw data available in KNOWMAK.
This deliverable will be a central input for early involvement of users: it will include a full description of a set of user scenarios, in terms of target users, goals, required information and interaction model with the tool. These scenarios will also be provided through an on-line interface in order to be tested by user groups.
The list of indicators provided in D5.2 will be extended and refined in three directions: including also a set of indicators on social innovation and user attention; extending and adapting the indicators’ list based on the feedback of the users; refining the methodology for the calculation of scores and dealing with reliability and robustness issues which emerged from the pilot.
Searching for OpenAIRE data...
Author(s): Diana Maynard and Benedetto Lepori
Published in: Proceedings of Science, Technology and Innovation indicators 2017, 2017
Author(s): Diana Maynard, Adam Funk, Benedetto Lepori
Published in: Lecture Notes in Computer Science (Proceedings of ESWC 2017 Workshop on Scientometrics), 2017
Author(s): Benedetto Lepori, Philippe Larédo, Thomas Scherngell, Massimiliano Guerini
Published in: ISSI 2019 Conference Proceedings, 2019, Page(s) 685-690
Author(s): Milosevic, Nikola; Marinov, Dimitar; Gok, Abdullah; Nenadic, Goran
Published in: International Conference on Applications of Natural Language to Information Systems, Issue 1, 2019, Page(s) 157-169
Author(s): Lepori, Benedetto; Larédo, Philippe
Published in: Issue 5, 2020
Author(s): Ziqi Zhang, Johann Petrak, Diana Maynard
Published in: Procedia Computer Science, Issue 137, 2018, Page(s) 102-108, ISSN 1877-0509
Author(s): Nikola Milošević, Dimitar Marinov, Abdullah Gök, Goran Nenadić
Published in: Natural Language Processing and Information Systems - 24th International Conference on Applications of Natural Language to Information Systems, NLDB 2019, Salford, UK, June 26–28, 2019, Proceedings, Issue 11608, 2019, Page(s) 157-169
Author(s): Nikola Milosevic, Abdullah Gok, Goran Nenadic
Published in: Natural Language Processing and Information Systems, Issue 10859, 2018, Page(s) 407-418
Author(s): Maynard, Diana; Lepori, Benedetto; Larédo, Philippe
Published in: Issue 4, 2020
Author(s): Scherngell, Thomas; Zahradnik, Georg; Barber, Michael; Bilalli Shkodra, Xeneta
Published in: Issue 1, 2020
Author(s): Lepori Benedetto; Scherngell Thomas; Larédo Philippe; Guerini Massimiliano
Published in: Issue 2, 2020
Author(s): Lepori, Benedetto
Published in: Issue 1, 2020