CloudScan - A configuration-free invoice analysis system using recurrent neural networks

We present CloudScan; an invoice analysis system that requires zero configuration or upfront annotation. In contrast to previous work, CloudScan does not rely on templates of invoice layout, instead it learns a single global model of invoices that naturally generalizes to unseen invoice layouts. The model is trained using data automatically extracted from end-user provided feedback. This automatic training data extraction removes the requirement for users to annotate the data precisely. We describe a recurrent neural network model that can capture long range context and compare it to a baseline logistic regression model corresponding to the current CloudScan production system. We train and evaluate the system on 8 important fields using a dataset of 326,471 invoices. The recurrent neural network and baseline model achieve 0.891 and 0.887 average F1 scores respectively on seen invoice layouts. For the harder task of unseen invoice layouts, the recurrent neural network model outperforms the baseline with 0.840 average F1 compared to 0.788.Comment: Presented at ICDAR 201

Ontology-based standards development: Application of OntoStanD to ebXML business process specification schema

Business-to-Business (B2B) interoperations are an important part of today's global economy. Business process standards are developed to provide a common understanding of the information shared between trading partners. These standards, however, mainly capture the syntax of the transactions and not their semantics. This paper proposes the use of ontologies as the basis for standards development and presents an ontology for the ebXML Business Process Specification Schema (ebBP) with the aim of empowering the capture and sharing of semantics embedded within B2B processes as well as enabling knowledge deduction and reasoning over the shared knowledge. The paper utilises the Ontology-based Standards Development methodology (OntoStanD) as a methodological approach for designing ontological models of standards. This research demonstrates how Semantic Web technologies can be utilised as a basis for standards development and representation in order to improve standards-based interoperability between trading partners

A characteristics framework for Semantic Information Systems Standards

Semantic Information Systems (IS) Standards play a critical role in the development of the networked economy. While their importance is undoubted by all stakeholders—such as businesses, policy makers, researchers, developers—the current state of research leaves a number of questions unaddressed. Terminological confusion exists around the notions of “business semantics”, “business-to-business interoperability”, and “interoperability standards” amongst others. And, moreover, a comprehensive understanding about the characteristics of Semantic IS Standards is missing. The paper addresses this gap in literature by developing a characteristics framework for Semantic IS Standards. Two case studies are used to check the applicability of the framework in a “real-life” context. The framework lays the foundation for future research in an important field of the IS discipline and supports practitioners in their efforts to analyze, compare, and evaluate Semantic IS Standard

ECONOMIC INFORMATION SYSTEMS INTEROPERABILITY

In this article we define and describe the economic information interoperability problemand how it affects today’s enterprises in the context of globalization and current ICT development, thecurrently used solutions found in the integration and interoperability of information systems literature(EDI, Web Services, ebXML, RosettaNet, XBRL), the main research activities done so far in the field ofEnterprise Interoperability and the observed trends in the evolution of standard solutions.interoperability problem; economic information system; standard; enterprise interoperability

State-of-the-art assessment on the implementations of international core data models for public administrations

Public administrations are often still organised in vertical, closed silos. The lack of common data standards (common data models and reference data) for exchanging information between administrations in a cross-domain and/or cross-border setting stands in the way of digital public services and automated flow of information between public administrations. Core data models address this issue, but are often created within the closed environment of a country or region and within one policy domain. A lack of insight exists in understanding and managing the life-cycle of these initiatives on public administration information systems for data modelling and data exchange. In this paper, we outline state-of-the-art implementations and vocabularies linked to the core data models. In particular we inventoried and selected existing core data models and identified tendencies in current practices based on the criteria creation, use, maintenance and coordination. Based on the analysis, this survey suggest research directions for policy and information management studies pointing to best practices regarding core data model implementations and their role in linking isolated data silos within a cross-country context. Finally we highlight the differences in their coordination and maintenance, depending on the state of creation and use

Autonomic Management of Networked Small-Medium Factories

The Chapter reports the achievements of a research project that is developing a software platform with a suite of autonomic services enabling every company in the network to move from a situation where it wastes valuable resources in struggling with its customers and suppliers, towards a rational business environment where communication becomes faster, and operation and collaboration more efficient. The ultimate objective of the project is to set-up, develop, experiment and promote the adoption of a new collaboration practice within networked factories taking advantage of the autonomic model applied to a suite of support software services

Design of a System for Information Transfer to Reduce Administrative Burdens in the Agrifood Sector

Agricultural policies are widening the scope to contribute to environmental objectives, such as the Green Deal, Paris Climate Agreement and sustainable development goals. This leads to new monitoring and data needs. To fulfil these data needs, it is crucial to explore the opportunities and limitations of new technologies. This paper analyses the information flows within the agricultural sector and its potential to contribute to future information needs.Farmers act within a network of commercial and governmental organisations. The information exchange with these organisations could increasingly occur through digital means, but in reality, there is still a lot of data transfer on paper or in PDF format. This implies information loss. Digital information flows provide a wealth of information for policy evaluation and monitoring and have the potential to reduce transaction costs. Combining data from different sources (open data like earth observation data, data from on-farm sensor networks, accountancy data like invoices and data from food chain platforms) concerning a single farm is an even bigger challenge than the transfer from paper to digital. Based on these observations a list of requirements for a future solution for information transfer is defined.Based on these requirements, this paper presents the design of a System for Information Transfer to Reduce Administrative burdens (SITRA) to combine data from different sources and give farmers control who can access these data. SITRA will address farmers’ needs to reduce the growing administrative burden placed on them by governments and the food chain sustainability and food safety schemes, especially if data would be stored in a digital farm locker and a farmer could voluntary give his consent through an authorisation mechanism to share specific data with his business partners, paying agency, statistical organisation and Farm Accountancy Data Network (FADN, an EU monitoring system for the Common Agricultural Policy). A platform that provides such data lockers could also provide benchmark facilities and a tool for common (open source) maintenance of coding systems.The paper proposes some follow-up activities to test this design. As a pilot, organic farmers that participate in the Dutch Farm Accountancy Data Network (FADN) will be recruited to co-develop and test the design principles of the system. Given trust issues around data management, the design of the governance and business model of the system are key issues in the follow-up. This group is chosen as organic certification and FADN are the most data-intensive monitoring and evaluation tools in the CAP. The Farm to Fork communication proposes to enlarge the organic sector to 25% of the agricultural area. A new organic control regulation, based on a risk assessment approach is about to be implemented. The Farm to Fork communication also proposes to link the FADN much more with the Farm Advisory System and to extend it to a Farm Sustainability Data Network