Policymakers struggle to assess the ethical, legal and human rights impacts of IT systems in research, industry, and at home. At the same time, research needs to be useful for industry, academia, and society to have impact on policy. Right now, three European projects: PANELFIT, SHERPA and SIENNA, are working together with stakeholders to improve ethical, human rights and legal frameworks for information and communication technologies (ICT), big data analytics, artificial intelligence (AI) and robotics. Stakeholder involvement is key, and the outputs will support the European Union's vision of Responsible Research and Innovation (RRI), as a means to foster the design of inclusive research and innovation. Here, we provide a short introduction to the projects and outline plans for collaboration with the aim to maximise our joint policy impact.
This paper aims to determine whether corporate governance affects manager's real operating or investment decision to control reported earnings. Through data analysis of firms listed on the Korean stock exchange, it was found that the aggregated measure of real activity-based earnings management decreases as the size of board is larger or as a greater proportion of external directors sit on the board. Those findings are almost the same, whether a corporate governance index composed by each BOD characteristics is employed, or problem caused by endogenous relationships among variables is controlled. The results provide the first empirical evidence that real activity-based earnings management is influenced by corporate governance structure. This focus on real activity-based earnings management suggests new avenues for research on corporate governance. The results offer some insights for policy makers interested in promoting legislation to ensure strong corporate governance in their nation. Article in English. Įmonių valdymo poveikis, pagrįstas darbo užmokesčio valdymu: Korėjos pavyzdys Santrauka.Šiame straipsnyje siekiama nustatyti, kokią įtaką turi kompanijos vadovo sprendimai, susiję su gaunamų pajamų iš darbuotojų tiesioginės veiklos / operacijų ar investicinių sprendimų kontrole. Tyrime dalyvavo Korėjos kompanijos. Autorių atlikti tyrimai parodė, kad darbuotojų darbo užmokesčio valdymas yra efektyvesnis nei tiesioginė vadovo kontrolė. Straipsnyje minima, kad priėmus sprendimą valdyti darbo užmokesčius, būtina keisti visą įmonės valdymo struktūrą. Gauti rezultatai yra kaip siūlymas peržiūrėti atitinkamus nacionalinius teisės aktus Korėjoje. Reikšminiai žodžiai: įmonių valdymas,darbo užmokestis,valdymas,pajamos,kompanijos
Mangroves are an important ecosystem that provides valuable social, economic, and environmental services. Indonesia has placed mangroves on its national priority agenda in an important effort to sustainably manage this ecosystem and achieve national climate commitments. However, mangrove management is faced with complex challenges encompassing social, ecological, and economic issues. In order to achieve the government's commitments and targets regarding mangrove restoration and conservation, an in-depth study on and critical review of mangrove management in Indonesia was conducted herein. This work aimed to provide a comprehensive analysis of the challenges and strategic recommendations for sustainable mangrove management in Indonesia. SWOT analysis was carried out to understand the strengths, weaknesses, opportunities, and threats related to mangrove management in Indonesia. To address these gaps, we reviewed the existing policies, current rehabilitation practices, environmental challenges, and research and technology implementations in the field. We found that strategies on mangrove ecosystem protection, such as improving the function and value of mangrove forests, integrating mangrove ecosystem management, strengthening political commitments and law enforcement, involving all stakeholders (especially coastal communities), and advancing research and innovations, are crucial for sustainable mangrove management and to support the national blue carbon agenda.
the analysis of language and speech is based on the study of a variety of areas ranging from phonetic to pragmatic, while taking into account the way in which they are expressed. For modern languages, while each area has a certain level of autonomy, it can only be explained in its interaction with others: linguistic information is the product of the convergence of multiple sources of information, which is also constrained by the environment in which the message was produced. Language analysis can therefore only be carried out taking into account the different ways in which information is expressed. However, to date, there is no integrated theory dealing with information from the different levels of the language chain, which is by its very nature a multi-modal sensory content. Although many annotation projects have developed in recent years, problems remain: annotated multimodal resources are hardly available for French; annotation standards do not fully meet needs and tools are not adapted. However, the development of this type of resources is useful in several respects, including the description of the information in each of the areas and their interactions. We present the Corpus of Interactional Data (CID), an audio and video corpus with 8 hours of dilogary in French, the annotations under consideration (phonetically, prosodic, morphosyntactical, mimo-gestual) and their state of implementation. ; L'analyse du langage et de la parole repose sur l'étude de domaines variés allant de la phonétique à la pragmatique, tout en prenant en compte les modalités de leur expression. Pour la linguistique moderne, si chaque domaine dispose d'un certain niveau d'autonomie, il ne peut être expliqué que dans son interaction avec les autres : l'information linguistique est le produit de la convergence de multiples sources d'information, information aussi contrainte par l'environnement où le message a été produit. L'analyse linguistique ne peut donc se faire qu'en tenant compte des différentes modalités d'expression de ...
"This document provided an overview of National Occupational Research Agenda (NORA) and the progress made in the first year. The NORA Liaison Committee has worked with NIOSH to begin the transformation from a concept to a reality. Altogether, 20 NORA teams have been established including NIOSH staff and partners from academia, labor, industry, professional organizations, and other Government agencies. Increases in investment in NORA research areas has been observed. Twenty one research priorities were identified, including allergic and irritant dermatitis, asthma and chronic obstructive pulmonary disease, fertility and pregnancy abnormalities, hearing loss, infectious diseases, low back disorders, musculoskeletal disorders of the upper extremities, traumatic injuries, emerging technologies, indoor environment, mixed exposures, organization of work, special populations at risk, cancer research methods, control technology and personal protective equipment, exposure assessment methods, health services research, intervention effectiveness research, risk assessment methods, social and economic consequences of workplace illness and injury, and surveillance research methods. The success of NORA can be measured by NIOSH's research investment, other Federal agencies investments, funding of grant applications in NORA priority areas, research literature and prevention and intervention activities arising out of NORA. In this one year NORA has been recognized as a model for public/private partnerships." - NIOSHTIC-2 ; Cover title. ; Also available via the World Wide Web from.
The last three years have seen significant changes in the Defence Medical Services approach to trauma pain management. This article seeks to outline these changes that have occurred at every level of the casualty's journey along the chain of evacuation, from the point of injury to rehabilitation and either continued employment in the Services or to medical discharge. Particular attention is paid to the evidence for the interventions used for both acute pain and chronic pain management. Also highlighted are possible differences in pain management techniques between civilian and military casualties.
Experiments and programs in labor-management cooperation are popularly believed to be effective in improving performance, but are often conducted with little or no evaluation of their success. This paper reports a test of a joint problem-solving model in a large telecommunications firm, as part of an overall assessment of the firm's quality-of-worklife (QWL) and employee involvement (El) committees. The assessment employed interviews, company performance indicators, and questionnaire survey data. Results showed strong evidence of the success of the joint committees as well as support for the model with respect to the contribution of key climate and process variables.
THE AUTHOR USES AN EVENTS DATA METHODOLOGY TO SHOW THE DYNAMICS OF RADICAL RIGHT-WING VIOLENCE IN CANADA OVER THE LAST THREE DECADES. HE THEN MAPS OUT THE ATTRIBUTES OF THIS PARTICULAR TYPE OF VIOLENCE AND, WHERE POSSIBLE, SPECIFIES ITS CORRELATES.
AbstractEcosystems provide a range of services, including water purification, erosion prevention, and flood risk mitigation, that are important to water resource managers. But as a sector, water resources management has been slow to incorporate ecosystem protection and restoration, for a variety of reasons, although related concepts such as nature-based solutions and green infrastructure are gaining traction. We explain some of the existing challenges to wider uptake of the ecosystem services concept in water resources management and introduce some promising avenues for research and practice, elaborated in more detail through 12 papers, spanning five continents and a variety of contexts, which make up a Special Issue on "Incorporating Ecosystem Services into Water Resources Management". Cross-cutting themes include (A) ecosystem services as a flexible concept to communicate with stakeholders; (B) participatory processes to involve stakeholders in research; (C) multiple values, and valuation methods, of water-related services; and (D) applications of decision-support tools. We conclude with a summary of research gaps and emphasize the importance of co-producing knowledge with decision makers and other stakeholders, in order to improve water resources management through the integration of ecosystem services.
Gesundheits-, Sozial-, Fitness- und Medizinbetriebe müssen wirtschaftlich gesteuert und gestaltet werden. Es wird immer wichtiger, Kunden überzeugend zu begleiten und Mitarbeiter professionell zu führen. Dieses moderne Betriebswirtschafts- und Management-Handbuch für Sozial- und Gesundheitsbetriebe gibt darauf praxisorientierte Antworten mit Fallbeispielen und Übungen.
This chapter provides an overview of the various themes and points of connections between the various chapters in this section and outlines the current limitations as well as the major social and technical issues that still need to be addressed in hate speech detection. In particular, the authors discuss the ways in contexts - from legal contexts such as laws determining data collection methods to sociocultural contexts like annotator knowledge - affect the possibilities for the machine learning pipelines. Along with identifying current issues and limitations, the authors delineate future avenues for hate speech detection research.
This book breathes life into the teaching of Human Resource Management (HRM) by creating learning that applies the theoretical aspects of the discipline to meaningful contexts. In this way, readers will be able to better relate theoretical concepts to workplace decisions and dilemmas. The management of human resources (HR) is a critical function contributing to an organization's competitiveness in ways that are at least as important as the management of financial and capital resources. To that end, it is essential that future managers and HR specialists destined for careers in business, government and not for profit organizations develop key skills and competences in HR. Experiential learning ignites the desire to learn, while revealing the importance and impact of knowledge and skills necessary to analyze and resolve HR-related dilemmas and challenges in contemporary organizations. While many publications provide direction and advice on the teaching of organizational behavior and leadership, it is harder to find accessible books to support the teaching of HR in motivating and grounded ways. The authors include over 65 exercises, activities, and cases for the undergraduate, MBA and executive learning classrooms. HR professors and practitioners will find it of value and students will be left feeling well prepared for the kinds of situations that await them in the field of - and situations requiring expertise in - HR
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This thesis is a compendium of scientific works and engineering specifications that have been contributed to a large community of stakeholders to be copied, adapted, mixed, built upon and exploited in any way possible to achieve a common goal: Integrating Natural Language Processing (NLP) and Language Resources Using Linked Data The explosion of information technology in the last two decades has led to a substantial growth in quantity, diversity and complexity of web-accessible linguistic data. These resources become even more useful when linked with each other and the last few years have seen the emergence of numerous approaches in various disciplines concerned with linguistic resources and NLP tools. It is the challenge of our time to store, interlink and exploit this wealth of data accumulated in more than half a century of computational linguistics, of empirical, corpus-based study of language, and of computational lexicography in all its heterogeneity. The vision of the Giant Global Graph (GGG) was conceived by Tim Berners-Lee aiming at connecting all data on the Web and allowing to discover new relations between this openly-accessible data. This vision has been pursued by the Linked Open Data (LOD) community, where the cloud of published datasets comprises 295 data repositories and more than 30 billion RDF triples (as of September 2011). RDF is based on globally unique and accessible URIs and it was specifically designed to establish links between such URIs (or resources). This is captured in the Linked Data paradigm that postulates four rules: (1) Referred entities should be designated by URIs, (2) these URIs should be resolvable over HTTP, (3) data should be represented by means of standards such as RDF, (4) and a resource should include links to other resources. Although it is difficult to precisely identify the reasons for the success of the LOD effort, advocates generally argue that open licenses as well as open access are key enablers for the growth of such a network as they provide a strong incentive for collaboration and contribution by third parties. In his keynote at BNCOD 2011, Chris Bizer argued that with RDF the overall data integration effort can be "split between data publishers, third parties, and the data consumer", a claim that can be substantiated by observing the evolution of many large data sets constituting the LOD cloud. As written in the acknowledgement section, parts of this thesis has received numerous feedback from other scientists, practitioners and industry in many different ways. The main contributions of this thesis are summarized here: Part I – Introduction and Background. During his keynote at the Language Resource and Evaluation Conference in 2012, Sören Auer stressed the decentralized, collaborative, interlinked and interoperable nature of the Web of Data. The keynote provides strong evidence that Semantic Web technologies such as Linked Data are on its way to become main stream for the representation of language resources. The jointly written companion publication for the keynote was later extended as a book chapter in The People's Web Meets NLP and serves as the basis for "Introduction" and "Background", outlining some stages of the Linked Data publication and refinement chain. Both chapters stress the importance of open licenses and open access as an enabler for collaboration, the ability to interlink data on the Web as a key feature of RDF as well as provide a discussion about scalability issues and decentralization. Furthermore, we elaborate on how conceptual interoperability can be achieved by (1) re-using vocabularies, (2) agile ontology development, (3) meetings to refine and adapt ontologies and (4) tool support to enrich ontologies and match schemata. Part II - Language Resources as Linked Data. "Linked Data in Linguistics" and "NLP & DBpedia, an Upward Knowledge Acquisition Spiral" summarize the results of the Linked Data in Linguistics (LDL) Workshop in 2012 and the NLP & DBpedia Workshop in 2013 and give a preview of the MLOD special issue. In total, five proceedings – three published at CEUR (OKCon 2011, WoLE 2012, NLP & DBpedia 2013), one Springer book (Linked Data in Linguistics, LDL 2012) and one journal special issue (Multilingual Linked Open Data, MLOD to appear) – have been (co-)edited to create incentives for scientists to convert and publish Linked Data and thus to contribute open and/or linguistic data to the LOD cloud. Based on the disseminated call for papers, 152 authors contributed one or more accepted submissions to our venues and 120 reviewers were involved in peer-reviewing. "DBpedia as a Multilingual Language Resource" and "Leveraging the Crowdsourcing of Lexical Resources for Bootstrapping a Linguistic Linked Data Cloud" contain this thesis' contribution to the DBpedia Project in order to further increase the size and inter-linkage of the LOD Cloud with lexical-semantic resources. Our contribution comprises extracted data from Wiktionary (an online, collaborative dictionary similar to Wikipedia) in more than four languages (now six) as well as language-specific versions of DBpedia, including a quality assessment of inter-language links between Wikipedia editions and internationalized content negotiation rules for Linked Data. In particular the work described in created the foundation for a DBpedia Internationalisation Committee with members from over 15 different languages with the common goal to push DBpedia as a free and open multilingual language resource. Part III - The NLP Interchange Format (NIF). "NIF 2.0 Core Specification", "NIF 2.0 Resources and Architecture" and "Evaluation and Related Work" constitute one of the main contribution of this thesis. The NLP Interchange Format (NIF) is an RDF/OWL-based format that aims to achieve interoperability between Natural Language Processing (NLP) tools, language resources and annotations. The core specification is included in and describes which URI schemes and RDF vocabularies must be used for (parts of) natural language texts and annotations in order to create an RDF/OWL-based interoperability layer with NIF built upon Unicode Code Points in Normal Form C. In , classes and properties of the NIF Core Ontology are described to formally define the relations between text, substrings and their URI schemes. contains the evaluation of NIF. In a questionnaire, we asked questions to 13 developers using NIF. UIMA, GATE and Stanbol are extensible NLP frameworks and NIF was not yet able to provide off-the-shelf NLP domain ontologies for all possible domains, but only for the plugins used in this study. After inspecting the software, the developers agreed however that NIF is adequate enough to provide a generic RDF output based on NIF using literal objects for annotations. All developers were able to map the internal data structure to NIF URIs to serialize RDF output (Adequacy). The development effort in hours (ranging between 3 and 40 hours) as well as the number of code lines (ranging between 110 and 445) suggest, that the implementation of NIF wrappers is easy and fast for an average developer. Furthermore the evaluation contains a comparison to other formats and an evaluation of the available URI schemes for web annotation. In order to collect input from the wide group of stakeholders, a total of 16 presentations were given with extensive discussions and feedback, which has lead to a constant improvement of NIF from 2010 until 2013. After the release of NIF (Version 1.0) in November 2011, a total of 32 vocabulary employments and implementations for different NLP tools and converters were reported (8 by the (co-)authors, including Wiki-link corpus, 13 by people participating in our survey and 11 more, of which we have heard). Several roll-out meetings and tutorials were held (e.g. in Leipzig and Prague in 2013) and are planned (e.g. at LREC 2014). Part IV - The NLP Interchange Format in Use. "Use Cases and Applications for NIF" and "Publication of Corpora using NIF" describe 8 concrete instances where NIF has been successfully used. One major contribution in is the usage of NIF as the recommended RDF mapping in the Internationalization Tag Set (ITS) 2.0 W3C standard and the conversion algorithms from ITS to NIF and back. One outcome of the discussions in the standardization meetings and telephone conferences for ITS 2.0 resulted in the conclusion there was no alternative RDF format or vocabulary other than NIF with the required features to fulfill the working group charter. Five further uses of NIF are described for the Ontology of Linguistic Annotations (OLiA), the RDFaCE tool, the Tiger Corpus Navigator, the OntosFeeder and visualisations of NIF using the RelFinder tool. These 8 instances provide an implemented proof-of-concept of the features of NIF. starts with describing the conversion and hosting of the huge Google Wikilinks corpus with 40 million annotations for 3 million web sites. The resulting RDF dump contains 477 million triples in a 5.6 GB compressed dump file in turtle syntax. describes how NIF can be used to publish extracted facts from news feeds in the RDFLiveNews tool as Linked Data. Part V - Conclusions. provides lessons learned for NIF, conclusions and an outlook on future work. Most of the contributions are already summarized above. One particular aspect worth mentioning is the increasing number of NIF-formated corpora for Named Entity Recognition (NER) that have come into existence after the publication of the main NIF paper Integrating NLP using Linked Data at ISWC 2013. These include the corpora converted by Steinmetz, Knuth and Sack for the NLP & DBpedia workshop and an OpenNLP-based CoNLL converter by Brümmer. Furthermore, we are aware of three LREC 2014 submissions that leverage NIF: NIF4OGGD - NLP Interchange Format for Open German Governmental Data, N^3 – A Collection of Datasets for Named Entity Recognition and Disambiguation in the NLP Interchange Format and Global Intelligent Content: Active Curation of Language Resources using Linked Data as well as an early implementation of a GATE-based NER/NEL evaluation framework by Dojchinovski and Kliegr. Further funding for the maintenance, interlinking and publication of Linguistic Linked Data as well as support and improvements of NIF is available via the expiring LOD2 EU project, as well as the CSA EU project called LIDER, which started in November 2013. Based on the evidence of successful adoption presented in this thesis, we can expect a decent to high chance of reaching critical mass of Linked Data technology as well as the NIF standard in the field of Natural Language Processing and Language Resources.:CONTENTS i introduction and background 1 1 introduction 3 1.1 Natural Language Processing . . . . . . . . . . . . . . . 3 1.2 Open licenses, open access and collaboration . . . . . . 5 1.3 Linked Data in Linguistics . . . . . . . . . . . . . . . . . 6 1.4 NLP for and by the Semantic Web – the NLP Inter- change Format (NIF) . . . . . . . . . . . . . . . . . . . . 8 1.5 Requirements for NLP Integration . . . . . . . . . . . . 10 1.6 Overview and Contributions . . . . . . . . . . . . . . . 11 2 background 15 2.1 The Working Group on Open Data in Linguistics (OWLG) 15 2.1.1 The Open Knowledge Foundation . . . . . . . . 15 2.1.2 Goals of the Open Linguistics Working Group . 16 2.1.3 Open linguistics resources, problems and chal- lenges . . . . . . . . . . . . . . . . . . . . . . . . 17 2.1.4 Recent activities and on-going developments . . 18 2.2 Technological Background . . . . . . . . . . . . . . . . . 18 2.3 RDF as a data model . . . . . . . . . . . . . . . . . . . . 21 2.4 Performance and scalability . . . . . . . . . . . . . . . . 22 2.5 Conceptual interoperability . . . . . . . . . . . . . . . . 22 ii language resources as linked data 25 3 linked data in linguistics 27 3.1 Lexical Resources . . . . . . . . . . . . . . . . . . . . . . 29 3.2 Linguistic Corpora . . . . . . . . . . . . . . . . . . . . . 30 3.3 Linguistic Knowledgebases . . . . . . . . . . . . . . . . 31 3.4 Towards a Linguistic Linked Open Data Cloud . . . . . 32 3.5 State of the Linguistic Linked Open Data Cloud in 2012 33 3.6 Querying linked resources in the LLOD . . . . . . . . . 36 3.6.1 Enriching metadata repositories with linguistic features (Glottolog → OLiA) . . . . . . . . . . . 36 3.6.2 Enriching lexical-semantic resources with lin- guistic information (DBpedia (→ POWLA) → OLiA) . . . . . . . . . . . . . . . . . . . . . . . . 38 4 DBpedia as a multilingual language resource: the case of the greek dbpedia edition. 39 4.1 Current state of the internationalization effort . . . . . 40 4.2 Language-specific design of DBpedia resource identifiers 41 4.3 Inter-DBpedia linking . . . . . . . . . . . . . . . . . . . 42 4.4 Outlook on DBpedia Internationalization . . . . . . . . 44 5 leveraging the crowdsourcing of lexical resources for bootstrapping a linguistic linked data cloud 47 5.1 Related Work . . . . . . . . . . . . . . . . . . . . . . . . 48 5.2 Problem Description . . . . . . . . . . . . . . . . . . . . 50 5.2.1 Processing Wiki Syntax . . . . . . . . . . . . . . 50 5.2.2 Wiktionary . . . . . . . . . . . . . . . . . . . . . . 52 5.2.3 Wiki-scale Data Extraction . . . . . . . . . . . . . 53 5.3 Design and Implementation . . . . . . . . . . . . . . . . 54 5.3.1 Extraction Templates . . . . . . . . . . . . . . . . 56 5.3.2 Algorithm . . . . . . . . . . . . . . . . . . . . . . 56 5.3.3 Language Mapping . . . . . . . . . . . . . . . . . 58 5.3.4 Schema Mediation by Annotation with lemon . 58 5.4 Resulting Data . . . . . . . . . . . . . . . . . . . . . . . . 58 5.5 Lessons Learned . . . . . . . . . . . . . . . . . . . . . . . 60 5.6 Discussion and Future Work . . . . . . . . . . . . . . . 60 5.6.1 Next Steps . . . . . . . . . . . . . . . . . . . . . . 61 5.6.2 Open Research Questions . . . . . . . . . . . . . 61 6 nlp & dbpedia, an upward knowledge acquisition spiral 63 6.1 Knowledge acquisition and structuring . . . . . . . . . 64 6.2 Representation of knowledge . . . . . . . . . . . . . . . 65 6.3 NLP tasks and applications . . . . . . . . . . . . . . . . 65 6.3.1 Named Entity Recognition . . . . . . . . . . . . 66 6.3.2 Relation extraction . . . . . . . . . . . . . . . . . 67 6.3.3 Question Answering over Linked Data . . . . . 67 6.4 Resources . . . . . . . . . . . . . . . . . . . . . . . . . . . 68 6.4.1 Gold and silver standards . . . . . . . . . . . . . 69 6.5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . 70 iii the nlp interchange format (nif) 73 7 nif 2.0 core specification 75 7.1 Conformance checklist . . . . . . . . . . . . . . . . . . . 75 7.2 Creation . . . . . . . . . . . . . . . . . . . . . . . . . . . 76 7.2.1 Definition of Strings . . . . . . . . . . . . . . . . 78 7.2.2 Representation of Document Content with the nif:Context Class . . . . . . . . . . . . . . . . . . 80 7.3 Extension of NIF . . . . . . . . . . . . . . . . . . . . . . 82 7.3.1 Part of Speech Tagging with OLiA . . . . . . . . 83 7.3.2 Named Entity Recognition with ITS 2.0, DBpe- dia and NERD . . . . . . . . . . . . . . . . . . . 84 7.3.3 lemon and Wiktionary2RDF . . . . . . . . . . . 86 8 nif 2.0 resources and architecture 89 8.1 NIF Core Ontology . . . . . . . . . . . . . . . . . . . . . 89 8.1.1 Logical Modules . . . . . . . . . . . . . . . . . . 90 8.2 Workflows . . . . . . . . . . . . . . . . . . . . . . . . . . 91 8.2.1 Access via REST Services . . . . . . . . . . . . . 92 8.2.2 NIF Combinator Demo . . . . . . . . . . . . . . 92 8.3 Granularity Profiles . . . . . . . . . . . . . . . . . . . . . 93 8.4 Further URI Schemes for NIF . . . . . . . . . . . . . . . 95 8.4.1 Context-Hash-based URIs . . . . . . . . . . . . . 99 9 evaluation and related work 101 9.1 Questionnaire and Developers Study for NIF 1.0 . . . . 101 9.2 Qualitative Comparison with other Frameworks and Formats . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102 9.3 URI Stability Evaluation . . . . . . . . . . . . . . . . . . 103 9.4 Related URI Schemes . . . . . . . . . . . . . . . . . . . . 104 iv the nlp interchange format in use 109 10 use cases and applications for nif 111 10.1 Internationalization Tag Set 2.0 . . . . . . . . . . . . . . 111 10.1.1 ITS2NIF and NIF2ITS conversion . . . . . . . . . 112 10.2 OLiA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119 10.3 RDFaCE . . . . . . . . . . . . . . . . . . . . . . . . . . . 120 10.4 Tiger Corpus Navigator . . . . . . . . . . . . . . . . . . 121 10.4.1 Tools and Resources . . . . . . . . . . . . . . . . 122 10.4.2 NLP2RDF in 2010 . . . . . . . . . . . . . . . . . . 123 10.4.3 Linguistic Ontologies . . . . . . . . . . . . . . . . 124 10.4.4 Implementation . . . . . . . . . . . . . . . . . . . 125 10.4.5 Evaluation . . . . . . . . . . . . . . . . . . . . . . 126 10.4.6 Related Work and Outlook . . . . . . . . . . . . 129 10.5 OntosFeeder – a Versatile Semantic Context Provider for Web Content Authoring . . . . . . . . . . . . . . . . 131 10.5.1 Feature Description and User Interface Walk- through . . . . . . . . . . . . . . . . . . . . . . . 132 10.5.2 Architecture . . . . . . . . . . . . . . . . . . . . . 134 10.5.3 Embedding Metadata . . . . . . . . . . . . . . . 135 10.5.4 Related Work and Summary . . . . . . . . . . . 135 10.6 RelFinder: Revealing Relationships in RDF Knowledge Bases . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136 10.6.1 Implementation . . . . . . . . . . . . . . . . . . . 137 10.6.2 Disambiguation . . . . . . . . . . . . . . . . . . . 138 10.6.3 Searching for Relationships . . . . . . . . . . . . 139 10.6.4 Graph Visualization . . . . . . . . . . . . . . . . 140 10.6.5 Conclusion . . . . . . . . . . . . . . . . . . . . . . 141 11 publication of corpora using nif 143 11.1 Wikilinks Corpus . . . . . . . . . . . . . . . . . . . . . . 143 11.1.1 Description of the corpus . . . . . . . . . . . . . 143 11.1.2 Quantitative Analysis with Google Wikilinks Cor- pus . . . . . . . . . . . . . . . . . . . . . . . . . . 144 11.2 RDFLiveNews . . . . . . . . . . . . . . . . . . . . . . . . 144 11.2.1 Overview . . . . . . . . . . . . . . . . . . . . . . 145 11.2.2 Mapping to RDF and Publication on the Web of Data . . . . . . . . . . . . . . . . . . . . . . . . . 146 v conclusions 149 12 lessons learned, conclusions and future work 151 12.1 Lessons Learned for NIF . . . . . . . . . . . . . . . . . . 151 12.2 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . 151 12.3 Future Work . . . . . . . . . . . . . . . . . . . . . . . . . 153
It is well recognized that contemporary crisis call for collaborative efforts across both organizational and jurisdictional boundaries. One of the key challenges for governments and public authorities responsible for organizing crisis management is to find adequate ways in which they can support decentralized and collaborative responses. This effort can be analyzed through the meta‐governance approach that suggests that different instruments can be used to support decentralized collaborative efforts. This article analyzes the management of crisis communication in Sweden and the implementation of a new national Security Communications System (SCS) as a specific case of meta‐governance. The main finding suggests that meta‐governance may be impaired by combining different types of governance (sovereignty, markets, or network management) due to competing rationality invested in each governance style. The deadlock was, however, resolved by direct involvement and increased deliberation between the meta‐governors and the end users as it generated a shared understanding of crisis management and the utility of a single SCS. Besides identifying the importance of direct involvement in terms of network management the article also suggests that meta‐governors need to develop a deeper and more sensitive understanding of the self‐organizing nature of networks in order to be able to support collaborative crisis management.