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We introduce VocBench, an open source web application for editing thesauri complying with the SKOS and SKOS-XL standards. VocBench has a strong focus on collaboration, supported by workflow management for content validation and publication. Dedicated user roles provide a clean separation of competences, addressing different specificities ranging fr...
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Similar publications
VocBench is an open source web application for editing of SKOS and SKOS-XL thesauri, with a strong focus on collaboration, supported by workflow management for content validation and publication. Dedicated user roles provide a clean separation of competences, addressing different specificities ranging from management aspects to vertical competences...
Citations
... Due of this, researchers have constantly explored new approaches to produce or maintain and update ontologies in both efficient and effective ways [127] . This survey aims to highlight the main contributions on ontology generation, providing descriptions of the most popular and widely used ontology development environments (ODEs), including Protégé [128] , Topbraid Composer [26] , Ontostudio [27] , Fluent Editor [28] , VocBench [29] , Swoop [30] and Obo-edit [31] . When an ontology is designed for the life sciences, these ODEs can be used as a starting point. ...
... OBO-Edit [31] , a particular ontology editor for biologists, is another example of an ODE that is currently available. Other examples are VocBench [29] , an open-source ODE that is still used by many businesses, and Fluent Editor [28] . Despite being advertised as a straightforward ontology editor on the W3C website, SWOOP [30] still lacks a project website. ...
... VocBench 3 (VB) is a multilingual, collaborative development platform, with Semantic Web editing tools used to manage OWL ontologies, SKOS(/XL) thesauri, Ontolex-lemon lexicons, generic RDF datasets and linked data environments [29] . VocBench 3, maintained by the ISA2 program of the European Commission [138] , is still supported and used by many public organizations, businesses and independent users to keep their thesauri, code lists and authority resources. ...
... More comprehensive terminology management tools integrate monolingual and multilingual term extraction as a starting point feature, and offer additional functionalities to enrich the extracted terms. For example, in Tilde's Terminology platform 18 [28], the extracted terms can be enriched with candidate translations obtained from external resources; SketchEngine 19 [32] identifies collocates for the extracted terms from the source corpus; PoolParty 20 [53] allows the manual creation of hierarchies and the manual linking to resources such as DBpedia; 21 Saffron 22 [9] suggests hierarchical relations between terms, to be afterwards supervised, and VocBench 23 [55,56] allows the collaborative manual edition of vocabularies. ...
... Finally, challenging the current domain-specific application of the tool, we have already two potential projects of very different domains, in which TermitUp will take part: 1) Authors have recently worked jointly with the DFKI research center, 55 on the conversion of the terminological base from the Deutsche Bahn (main railway German Company) 56 into Semantic Web formats. This resource lacks Spanish terminological data, and TermitUp will be used to enrich it with Spanish data on the domain. ...
Domain-specific terminologies play a central role in many language technology solutions. Substantial manual effort is still involved in the creation of such resources, and many of them are published in proprietary formats that cannot be easily reused in other applications. Automatic term extraction tools help alleviate this cumbersome task. However, their results are usually in the form of plain lists of terms or as unstructured data with limited linguistic information. Initiatives such as the Linguistic Linked Open Data cloud (LLOD) foster the publication of language resources in open structured formats, specifically RDF, and their linking to other resources on the Web of Data. In order to leverage the wealth of linguistic data in the LLOD and speed up the creation of linked terminological resources, we propose TermitUp, a service that generates enriched domain specific terminologies directly from corpora, and publishes them in open and structured formats. TermitUp is composed of five modules performing terminology extraction, terminology post-processing, terminology enrichment, term relation validation and RDF publication. As part of the pipeline implemented by this service, existing resources in the LLOD are linked with the resulting terminologies, contributing in this way to the population of the LLOD cloud. TermitUp has been used in the framework of European projects tackling different fields, such as the legal domain, with promising results. Different alternatives on how to model enriched terminologies are considered and good practices illustrated with examples are proposed.
... The result of this collaboration, VocBench 2 [Stellato et al., 2015] had been rethought as a fully-fledged collaborative platform for thesaurus management, freely available and open-sourced, offering native RDF support for SKOS and SKOS-XL knowledge organization systems (Hodge, 2020), while retaining from its original version the focus on multilingualism, collaboration and a structured content validation & publication workflow. ...
Newly acquired, aggregated and shared data are essential for innovation in food and agriculture to improve the discoverability of research. Since the early 1980′s, the Food and Agriculture Organization of the United Nations (FAO) has coordinated AGROVOC, a valuable tool for data to be classified homogeneously, facilitating interoperability and reuse. AGROVOC is a multilingual and controlled vocabulary designed to cover concepts and terminology under FAO's areas of interest. It is the largest Linked Open Data set about agriculture available for public use and its highest impact is through facilitating the access and visibility of data across domains and languages. This chapter has the aim of describing the current status of one of the most popular thesaurus in all FAO’s areas of interest, and how it has become the Linked Data Concept Hub for food and agriculture, through new procedures put in place.
... A number of methods have been proposed for detecting errors in knowledge graphs: reasoning and the structure of the graph can be used to infer erroneous types or values [30]; incorrect links in the knowledge graph can be detected as outliers by statistical tests [31]; or external general-purpose knowledge can be exploited to find errors in enterprise knowledge graphs [32,33]. Moreover, an important part of knowledge graph refinement is the development of user interfaces that allow human users to easily visualize and verify the content of the knowledge graph, and thus, a collaborative knowledge graph development methodology has recently been embodied in tools such as VocBench [34]. ...
Knowledge graphs are proving to be an increasingly important part of modern enterprises, and new applications of such enterprise knowledge graphs are still being found. In this paper, we report on the experience with the use of an automatic knowledge graph system called Saffron in the context of a large financial enterprise and show how this has found applications within this enterprise as part of the “Conversation Concepts Artificial Intelligence” tool. In particular, we analyse the use cases for knowledge graphs within this enterprise, and this led us to a new extension to the knowledge graph system. We present the results of these adaptations, including the introduction of a semi-supervised taxonomy extraction system, which includes analysts in-the-loop. Further, we extend the kinds of relations extracted by the system and show how the use of the BERTand ELMomodels can produce high-quality results. Thus, we show how this tool can help realize a smart enterprise and how requirements in the financial industry can be realised by state-of-the-art natural language processing technologies.
... The supported facilities include: (a) an ontology engineering service for creating, editing and managing semantic resources and, at the same time, catering for their collaborative design, editing and management. It is based on VocBench [14], a webbased platform for managing OWL ontologies, SKOS thesauri and RDF datasets; (b) a semantic linking service supporting the establishment of semantic links between data items belonging to different datasets and different sources. It is based on Silk [15], a web-based platform enabling users to manage diverse datasources, linking tasks and transformation tasks; (c) a data transformation service promoting the RDF-isation of tabular data, i.e. a user can determine the rules for transforming the data into triples using arbitrary schemas and ontologies. ...
p>The enhancements in IT solutions and the open science movement are injecting changes in the practices dealing with data collection, collation, processing and analytics, and publishing in all the domains, including agri-food. However, in implementing these changes one of the major issues faced by the agri-food researchers is the fragmentation of the “assets” to be exploited when performing research tasks, e.g. data of interest are heterogeneous and scattered across several repositories, the tools modellers rely on are diverse and often make use of limited computing capacity, the publishing practices are various and rarely aim at making available the “whole story” with datasets, processes, workflows. This paper presents the AGINFRA PLUS endeavour to overcome these limitations by providing researchers in three designated communities with Virtual Research Environments facilitating the use of the “assets” of interest and promote collaboration.</p
... Data are important in agriculture, including fields such as precision agriculture (Shannon et al., 2020), climate modeling (Crosson et al., 2011;Nelson et al., 2014) and policy making. There is a clear need for better ways to generate, access, exploit and reuse data (Platform for Big Data in Agriculture, 2018, 2017) across different information systems. ...
... VocBench 3 ("VocBench" n.d.) is a free and open source (R2) advanced collaboration environment for creating and maintaining ontologies, thesauri, code lists, authority tables, lexicons and link sets in compliance with Semantic Web standards recommended by the W3C (R25, 26, 27 and 28) (Stellato et al., 2015). VocBench is used to maintain vocabularies and ontologies in a wide number of domains, 13 including the agrifood sector (e.g., at FAO, it is used to maintain AGROVOC and the vocabularies in Caliper; at INRAE, it is used to maintain vocabularies on ecosystems and biodiversity). ...
In this paper, we report on the outputs and adoption of the Agrisemantics Working Group of the Research Data Alliance (RDA), consisting of a set of recommendations to facilitate the adoption of semantic technologies and methods for the purpose of data interoperability in the field of agriculture and nutrition. From 2016 to 2019, the group gathered researchers and practitioners at the crossing point between information technology and agricultural science, to study all aspects in the life cycle of semantic resources: conceptualization, edition, sharing, standardization, services, alignment, long term support. First, the working group realized a landscape study, a study of the uses of semantics in agrifood, then collected use cases for the exploitation of semantics resources-a generic term to encompass vocabularies, terminologies, thesauri, ontologies. The resulting requirements were synthesized into 39 "hints" for users and developers of semantic resources, and providers of semantic resource services. We believe adopting these recommendations will engage agrifood sciences in a necessary transition to leverage data production, sharing and reuse and the adoption of the FAIR data principles. The paper includes examples of adoption of those requirements, and a discussion of their contribution to the field of data science.
... Data are important in agriculture, including fields such as precision agriculture (Shannon et al., 2020), climate modeling (Crosson et al., 2011;Nelson et al., 2014) and policy making. There is a clear need for better ways to generate, access, exploit and reuse data (Platform for Big Data in Agriculture, 2018, 2017) across different information systems. ...
... VocBench 3 ("VocBench" n.d.) is a free and open source (R2) advanced collaboration environment for creating and maintaining ontologies, thesauri, code lists, authority tables, lexicons and link sets in compliance with Semantic Web standards recommended by the W3C (R25, 26, 27 and 28) (Stellato et al., 2015). VocBench is used to maintain vocabularies and ontologies in a wide number of domains, 13 including the agrifood sector (e.g., at FAO, it is used to maintain AGROVOC and the vocabularies in Caliper; at INRAE, it is used to maintain vocabularies on ecosystems and biodiversity). ...
In this paper, we report on the outputs and adoption of the Agrisemantics Working Group of the Research Data Alliance (RDA), consisting of a set of recommendations to facilitate the adoption of semantic technologies and methods for the purpose of data interoperability in the field of agriculture and nutrition. From 2016 to 2019, the group gathered researchers and practitioners at the crossing point between information technology and agricultural science, to study all aspects in the life cycle of semantic resources: conceptualization, edition, sharing, standardization, services, alignment, long term support. First, the working group realized a landscape study, a study of the uses of semantics in agrifood, then collected use cases for the exploitation of semantics resources – a generic term to encompass vocabularies, terminologies, thesauri, ontologies. The resulting requirements were synthesized into 39 “hints” for users and developers of semantic resources, and providers of semantic resource services. We believe adopting these recommendations will engage agrifood sciences in a necessary transition to leverage data production, sharing and reuse and the adoption of the FAIR data principles. The paper includes examples of adoption of those requirements, and a discussion of their contribution to the field of data science.
... VocBench (Stellato et al., 2015) is a tool for collaborative SKOS thesauri management. It supports 7 Available at https://kbss.felk.cvut.cz/ ...
Many organizations already benefit from using semantic vocabularies which help them systematize, search and reuse their data. However, to efficiently manage such vocabularies, appropriate and adequate tools are needed. In this paper, we present TermIt, an integrated system for managing a set of interconnected vocabularies, identification of individual concepts in source documents and interlinking them, and using such terms for semantic data asset annotation and subsequent search. We relate TermIt to other relevant tools and present usage scenarios we have identified so far.
... Rebranded as VocBench (VB), to suggest a more general environment for thesaurus management, the platform was later strongly reengineered in the context of a collaboration between FAO and the ART 2 group 1 http://www.fao.org/ of the University of Rome Tor Vergata. The result of this collaboration, VocBench 2 (VB2) [2], released in 2013, was rethought as a fully-fledged collaborative platform for thesaurus management, freely available and open-sourced, offering native RDF support for SKOS [3] and SKOS-XL [4] knowledge organization systems [5], while retaining from its original version the focus on multilingualism, collaboration, and a structured content validation and publication workflow. Under the hood, the original VB1 backend for RDF was replaced with the RDF Management framework Semantic Turkey (ST) [6,7], already developed by the ART Group. ...
... We then describe and discuss the new features and architectural improvements that have been implemented to meet the goals for this next iteration of the platform. Our aim is thus to highlight the improvements over VB2, while we refer the reader to [2] for a general introduction to the system and for a comparative analysis of VB with related works. This article is a revised and expanded version of a previous work [8], in which we previewed VocBench 3 just before the completion of its first development iteration. ...
... The workflow proposed in some tools [19,18,3] allows domain experts to easily modify and scale ontologies as per the rapid need of the application. Furthermore, they also provide other features such as version control and visualization. ...
This paper describes an ontology-based development of activity knowledge on a domain and the system we developed to support it. To understand human activities, it is important to explicitly describe the knowledge of each domain. However, there are some issues of knowledge development: the establishment of the efficient method and process, the improvement of the readability for humans and machines, and the regular improvement of knowledge after development. We thus introduced a process of knowledge development, which uses two different types of knowledge representation (activity knowledge and domain ontology) on a domain that requires technical skills. In this study, we practiced the process in the music field to investigate the effects of developing activity knowledge based on a domain ontology. The results showed that it enables deep understanding and extension of knowledge. Furthermore, we designed a system to help the ontology-based development of activity knowledge. We rewrote the activity knowledge using the system and received preliminary results on term control.
