Integration of document representation, processing and management

This paper describes a way for document representation and proposes an approach towards an integrated document processing and management system. The approach has the intention to capture essentially freely structured documents, like those typically used in the office domain. The document analysis system ANASTASIL is capable to reveal the structure of complex paper documents, as well as logical objects within it, like receiver, footnote, date. Moreover, it facilitates the handling of the containing information. Analyzed documents are stored by the management system KRISYS that is connected to several different subsequent services. The described integrated system can be considered as an ideal extension of the human clerk, making his tasks in information processing easier. The symbolic representation of the analysis results allow an easy transformation in a given international standard, e.g., ODA/ODIF or SGML, and to interchange it via global network

An authoring tool for decision support systems in context questions of ecological knowledge

Decision support systems (DSS) support business or organizational decision-making activities, which require the access to information that is internally stored in databases or data warehouses, and externally in the Web accessed by Information Retrieval (IR) or Question Answering (QA) systems. Graphical interfaces to query these sources of information ease to constrain dynamically query formulation based on user selections, but they present a lack of flexibility in query formulation, since the expressivity power is reduced to the user interface design. Natural language interfaces (NLI) are expected as the optimal solution. However, especially for non-expert users, a real natural communication is the most difficult to realize effectively. In this paper, we propose an NLI that improves the interaction between the user and the DSS by means of referencing previous questions or their answers (i.e. anaphora such as the pronoun reference in “What traits are affected by them?”), or by eliding parts of the question (i.e. ellipsis such as “And to glume colour?” after the question “Tell me the QTLs related to awn colour in wheat”). Moreover, in order to overcome one of the main problems of NLIs about the difficulty to adapt an NLI to a new domain, our proposal is based on ontologies that are obtained semi-automatically from a framework that allows the integration of internal and external, structured and unstructured information. Therefore, our proposal can interface with databases, data warehouses, QA and IR systems. Because of the high NL ambiguity of the resolution process, our proposal is presented as an authoring tool that helps the user to query efficiently in natural language. Finally, our proposal is tested on a DSS case scenario about Biotechnology and Agriculture, whose knowledge base is the CEREALAB database as internal structured data, and the Web (e.g. PubMed) as external unstructured information.This paper has been partially supported by the MESOLAP (TIN2010-14860), GEODAS-BI (TIN2012-37493-C03-03), LEGOLANGUAGE (TIN2012-31224) and DIIM2.0 (PROMETEOII/2014/001) projects from the Spanish Ministry of Education and Competitivity. Alejandro Maté is funded by the Generalitat Valenciana under an ACIF grant (ACIF/2010/298)

Requirements and Use Cases ; Report I on the sub-project Smart Content Enrichment

In this technical report, we present the results of the first milestone phase of the Corporate Smart Content sub-project "Smart Content Enrichment". We present analyses of the state of the art in the fields concerning the three working packages defined in the sub-project, which are aspect-oriented ontology development, complex entity recognition, and semantic event pattern mining. We compare the research approaches related to our three research subjects and outline briefly our future work plan

TLAD 2010 Proceedings:8th international workshop on teaching, learning and assesment of databases (TLAD)

This is the eighth in the series of highly successful international workshops on the Teaching, Learning and Assessment of Databases (TLAD 2010), which once again is held as a workshop of BNCOD 2010 - the 27th International Information Systems Conference. TLAD 2010 is held on the 28th June at the beautiful Dudhope Castle at the Abertay University, just before BNCOD, and hopes to be just as successful as its predecessors.The teaching of databases is central to all Computing Science, Software Engineering, Information Systems and Information Technology courses, and this year, the workshop aims to continue the tradition of bringing together both database teachers and researchers, in order to share good learning, teaching and assessment practice and experience, and further the growing community amongst database academics. As well as attracting academics from the UK community, the workshop has also been successful in attracting academics from the wider international community, through serving on the programme committee, and attending and presenting papers.This year, the workshop includes an invited talk given by Richard Cooper (of the University of Glasgow) who will present a discussion and some results from the Database Disciplinary Commons which was held in the UK over the academic year. Due to the healthy number of high quality submissions this year, the workshop will also present seven peer reviewed papers, and six refereed poster papers. Of the seven presented papers, three will be presented as full papers and four as short papers. These papers and posters cover a number of themes, including: approaches to teaching databases, e.g. group centered and problem based learning; use of novel case studies, e.g. forensics and XML data; techniques and approaches for improving teaching and student learning processes; assessment techniques, e.g. peer review; methods for improving students abilities to develop database queries and develop E-R diagrams; and e-learning platforms for supporting teaching and learning

TLAD 2010 Proceedings:8th international workshop on teaching, learning and assesment of databases (TLAD)

This is the eighth in the series of highly successful international workshops on the Teaching, Learning and Assessment of Databases (TLAD 2010), which once again is held as a workshop of BNCOD 2010 - the 27th International Information Systems Conference. TLAD 2010 is held on the 28th June at the beautiful Dudhope Castle at the Abertay University, just before BNCOD, and hopes to be just as successful as its predecessors.The teaching of databases is central to all Computing Science, Software Engineering, Information Systems and Information Technology courses, and this year, the workshop aims to continue the tradition of bringing together both database teachers and researchers, in order to share good learning, teaching and assessment practice and experience, and further the growing community amongst database academics. As well as attracting academics from the UK community, the workshop has also been successful in attracting academics from the wider international community, through serving on the programme committee, and attending and presenting papers.This year, the workshop includes an invited talk given by Richard Cooper (of the University of Glasgow) who will present a discussion and some results from the Database Disciplinary Commons which was held in the UK over the academic year. Due to the healthy number of high quality submissions this year, the workshop will also present seven peer reviewed papers, and six refereed poster papers. Of the seven presented papers, three will be presented as full papers and four as short papers. These papers and posters cover a number of themes, including: approaches to teaching databases, e.g. group centered and problem based learning; use of novel case studies, e.g. forensics and XML data; techniques and approaches for improving teaching and student learning processes; assessment techniques, e.g. peer review; methods for improving students abilities to develop database queries and develop E-R diagrams; and e-learning platforms for supporting teaching and learning

A software classification scheme

Reusing code is one approach to software reusability. Code is the end product of the software lifecycle. It is delivered in a low level representation that is difficult to reuse unless an almost perfect match exists between available features and required specifications. There is a need to organize large inventories of software such that reusable code is easy to locate and exchange. The relative success in the reuse of code fragments reported by some software factories is due in part to their capacity to encapsulate domain specific functions and create specialized libraries of components classified by these locally standardized functions.A general software classification scheme that organizes reusability related attributes and common functions from different domains is proposed as a partial solution to the software reusability problem. For the problem of selecting from similar, potentially reusable. components, a partial solution based on evaluation of common characteristics is also proposed. A library system is presented that integrates the proposed classification scheme with an evaluation mechanism based on inherent component attributes, programming languages characteristics and reuser experience.The fundamental contribution of this dissertation is a formal treatment of a faceted scheme for software classification leading to better understanding of reusability at the code level. This approach has been prototyped in a library system for the semi-automatic classification of software components. Analysis were performed to evaluate the classification scheme. The results show the potential of the scheme in organizing collections of code fragments, in improving retrieval, and in simplifying the classification process. Tests of the evaluation mechanism showed positive correlation with evaluations conducted by potential reusers

Semantic Systems. In the Era of Knowledge Graphs

This open access book constitutes the refereed proceedings of the 16th International Conference on Semantic Systems, SEMANTiCS 2020, held in Amsterdam, The Netherlands, in September 2020. The conference was held virtually due to the COVID-19 pandemic

Querying and managing complex networks

Orientador: André SantanchèTese (doutorado) - Universidade Estadual de Campinas, Instituto de ComputaçãoResumo: Compreender e quantificar as propriedades emergentes de redes naturais e de redes construídas pelo homem, tais como cadeias alimentares, interações sociais e infra-estruturas de transporte é uma tarefa desafiadora. O campo de redes complexas foi desenvolvido para agregar medições, algoritmos e técnicas para lidar com tais tópicos. Embora as pesquisas em redes complexas tenham sido aplicadas com sucesso em várias áreas de atividade humana, ainda há uma falta de infra-estruturas comuns para tarefas rotineiras, especialmente aquelas relacionadas à gestão de dados. Por outro lado, o campo de bancos de dados tem se concentrado em questões de gestão de dados desde o seu início, há várias décadas. Sistemas de banco de dados, no entanto, oferecem suporte reduzido à análise de redes. Para prover um melhor suporte para tarefas de análise de redes complexas, um sistema de banco de dados deve oferecer recursos de consulta e gerenciamento de dados adequados. Esta tese defende uma maior integração entre as áreas e apresenta nossos esforços para atingir este objetivo. Aqui nós descrevemos o Sistema de Gerenciamento de Dados Complexos (CDMS), que permite consultas exploratórias sobre redes complexas através de uma linguagem de consulta declarativa. Os resultados da consulta são classificados com base em medições de rede avaliadas no momento da consulta. Para suportar o processamento de consultas, nós introduzimos a Beta-álgebra, que oferece um operador capaz de representar diversas medições típicas de análise de redes complexas. A álgebra oferece oportunidades para otimizações transparentes de consulta baseadas em reescritas, propostas e discutidas aqui. Também introduzimos o mecanismo mapper de gestão de relacionamentos, que está integrado à linguagem de consulta. Os mecanismos de consulta e gerenciamento de dados flexíveis propostos são também úteis em cenários além da análise de redes complexas. Nós demonstramos o uso do CDMS em aplicações tais como integração de dados institucionais, recuperação de informação, classificação e recomendação. Todos os aspectos da proposta foram implementadas e testados com dados reais e sintéticosAbstract: Understanding and quantifying the emergent properties of natural and man-made networks such as food webs, social interactions, and transportation infrastructures is a challenging task. The complex networks field was developed to encompass measurements, algorithms, and techniques to tackle such topics. Although complex networks research has been successfully applied to several areas of human activity, there is still a lack of common infrastructures for routine tasks, especially those related to data management. On the other hand, the databases field has focused on mastering data management issues since its beginnings, several decades ago. Database systems, however, offer limited network analysis capabilities. To enable a better support for complex network analysis tasks, a database system must offer adequate querying and data management capabilities. This thesis advocates for a tighter integration between the areas and presents our efforts towards this goal. Here we describe the Complex Data Management System (CDMS), which enables explorative querying of complex networks through a declarative query language. Query results are ranked based on network measurements assessed at query time. To support query processing, we introduce the Beta-algebra, which offers an operator capable of representing diverse measurements typical of complex network analysis. The algebra offers opportunities for transparent query optimization through query rewritings, proposed and discussed here. We also introduce the mapper mechanism for relationship management, which is integrated in the query language. The flexible query language and data management mechanisms are useful in scenarios other than complex network analysis. We demonstrate the use of the CDMS in applications such as institutional data integration, information retrieval, classification and recommendation. All aspects of the proposal are implemented and have been tested with real and synthetic dataDoutoradoCiência da ComputaçãoDoutor em Ciência da Computação2012/15988-9FAPESPCAPE