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Sistema de gestão para linguagem documentária metadados e rede colaborativa no vocabulário controlado do SIBI/USP

Santos, Cibele Araujo Camargo Marques dos; Torre, Silvia Regina Saran Della; Matsuda, Roseli Koizimi; Guerra, Sonia Regina Yole; Moraes, Juliana de Souza; Lima, Vânia Mara Alves
Fonte: Universidade Federal do Rio de Janeiro; Sistema de Bibliotecas e Informação; CRUESP; Rio de Janeiro Publicador: Universidade Federal do Rio de Janeiro; Sistema de Bibliotecas e Informação; CRUESP; Rio de Janeiro
Tipo: Conferência ou Objeto de Conferência
POR
Relevância na Pesquisa
46.16%
Sistemas de gestão desenvolvidos para a web, a partir de metadados, permitem manutenção eficiente de grandes quantidades de informação. Um vocabulário controlado como o utilizado pelo Sistema Integrado de Bibliotecas da USP (SIBi/USP) necessita de atualização contínua realizada através de uma rede colaborativa com a participação de bibliotecários indexadores de todas as áreas do conhecimento. Este trabalho apresenta os resultados obtidos com o sistema de gestão desenvolvido pelo Grupo de Gerenciamento para a manutenção do Vocabulário Controlado do SIBi/USP. O fluxo deste sistema consiste em filtros de validação realizados pelos componentes do Grupo de Gerenciamento do Vocabulário. A metodologia de gestão do Vocabulário possui além deste sistema, uma política de governança. Os resultados obtidos nos seis anos desde a ativação do sistema de gestão pela Base de Sugestões consistiram em: 1192 inclusões de descritores, 240 alterações, 61 exclusões, totalizando 1493 operações. A gestão e o controle de qualidade do Vocabulário permitiram o aprimoramento do tratamento e da recuperação da informação no Banco de Dados Bibliográficos da USP – DEDALUS.; The management systems developed for the web...

NeuroNames: An Ontology for the BrainInfo Portal to Neuroscience on the Web

Bowden, Douglas M.; Song, Evan; Kosheleva, Julia; Dubach, Mark F.
Fonte: PubMed Publicador: PubMed
Tipo: Artigo de Revista Científica
Publicado em /01/2012 EN
Relevância na Pesquisa
15.98%
BrainInfo (http://braininfo.org) is a growing portal to neuroscientific information on the Web. It is indexed by NeuroNames, an ontology designed to compensate for ambiguities in neuroanatomical nomenclature. The 20-year old ontology continues to evolve toward the ideal of recognizing all names of neuroanatomical entities and accommodating all structural concepts about which neuroscientists communicate, including multiple concepts of entities for which neuroanatomists have yet to determine the best or ‘true’ conceptualization. To make the definitions of structural concepts unambiguous and terminologically consistent we created a ‘default vocabulary’ of unique structure names selected from existing terminology. We selected standard names by criteria designed to maximize practicality for use in verbal communication as well as computerized knowledge management. The ontology of NeuroNames accommodates synonyms and homonyms of the standard terms in many languages. It defines complex structures as models composed of primary structures, which are defined in unambiguous operational terms. NeuroNames currently relates more than 16,000 names in eight languages to some 2,500 neuroanatomical concepts. The ontology is maintained in a relational database with three core tables: Names...

Indexação de acórdãos por meio de uma ontologia jurisprudencial populada a partir de um corpus jurídico real

Molinari, Alberto Heitor
Fonte: Curitiba Publicador: Curitiba
Tipo: Dissertação de Mestrado
POR
Relevância na Pesquisa
26.01%
Aiming at improving the quality and accuracy of jurisprudential search services of the courts of justice, this dissertation proposes the automatic identification of relevant terms, or sentences, in a corpus of jurisprudential documents. Each identified term should be related to a concept that represents its meaning in the domain of jurisprudence, thus instancing an individual of that domain. At the end, each individual must be stored in knowledge base, thus enabling semantic queries over the documents. To achieve these objectives, methods were proposed for the extraction of relevant sentences and to build an application ontology for the representation of judgments. Furthermore, ontology navigation and search methods were proposed. For the extraction of sentences, several Text Mining techniques were used, such as Sentence Extraction, Analysis of Regular Expressions, Stemming, Stop-words and Controlled Vocabularies. The construction of the ontology followed the methodology OTKM and used some knowledge representation languages, such as DL, RDF and OWL. The Jena framework was applied for navigation in the ontology. SPARQL queries language was applied for search in the ontology. To validate the methods here proposed, an application ontology for the domain of judgments were built...

A Joint Initiative to Support the Semantic Interoperability within the GIIDA Project

Plini, Paolo; Di Franco, Sabin; De Santis, Valentina; Uricchio, Vito F.; De Carlo, Dario; D'Arpa, Stefania; De Martino, Monica; Albertoni, Riccardo
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 01/12/2010
Relevância na Pesquisa
16.01%
The GIIDA project aims to develop a digital infrastructure for the spatial information within CNR. It is foreseen to use semantic-oriented technologies to ease information modeling and connecting, according to international standards like the ISO/IEC 11179. Complex information management systems, like GIIDA, will take benefit from the use of terminological tools like thesauri that make available a reference lexicon for the indexing and retrieval of information. Within GIIDA the goal is to make available the EARTh thesaurus (Environmental Applications Reference Thesaurus), developed by the CNR-IIA-EKOLab. A web-based software, developed by the CNR-Water Research Institute (IRSA) was implemented to allow consultation and utilization of thesaurus through the web. This service is a useful tool to ensure interoperability between thesaurus and other systems of the indexing, with, the idea of cooperating to develop a comprehensive system of knowledge organization, that could be defined integrated, open, multi-functional and multilingual. Currently the system is available in multiple languages mode (Italian - English) and navigation can be done in the following ways: Alphabetical, Hierarchical and for Themes. A full search allows to find any term by searching for the whole term or a part of it and as well as allows to filter the results by themes. Within a collaborative initiative with the CNR-Institute of Applied Mathematics and Information Technology (IMATI) a SKOS (Simple Knowledge Organization System) version of EARTh was developed. This will ensure the possibility to support the use of the thesaurus within the framework of the Semantic Web in order to be used in decentralized metadata applications

Query Language for Complex Similarity Queries

Budikova, Petra; Batko, Michal; Zezula, Pavel
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 05/04/2012
Relevância na Pesquisa
15.86%
For complex data types such as multimedia, traditional data management methods are not suitable. Instead of attribute matching approaches, access methods based on object similarity are becoming popular. Recently, this resulted in an intensive research of indexing and searching methods for the similarity-based retrieval. Nowadays, many efficient methods are already available, but using them to build an actual search system still requires specialists that tune the methods and build the system manually. Several attempts have already been made to provide a more convenient high-level interface in a form of query languages for such systems, but these are limited to support only basic similarity queries. In this paper, we propose a new language that allows to formulate content-based queries in a flexible way, taking into account the functionality offered by a particular search engine in use. To ensure this, the language is based on a general data model with an abstract set of operations. Consequently, the language supports various advanced query operations such as similarity joins, reverse nearest neighbor queries, or distinct kNN queries, as well as multi-object and multi-modal queries. The language is primarily designed to be used with the MESSIF framework for content-based searching but can be employed by other retrieval systems as well.

An Object-Oriented and Fast Lexicon for Semantic Generation

Hijzelendoorn, Maarten; Cremers, Crit
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 20/05/2009
Relevância na Pesquisa
25.86%
This paper is about the technical design of a large computational lexicon, its storage, and its access from a Prolog environment. Traditionally, efficient access and storage of data structures is implemented by a relational database management system. In Delilah, a lexicon-based NLP system, efficient access to the lexicon by the semantic generator is vital. We show that our highly detailed HPSG-style lexical specifications do not fit well in the Relational Model, and that they cannot be efficiently retrieved. We argue that they fit more naturally in the Object-Oriented Model. Although storage of objects is redundant, we claim that efficient access is still possible by applying indexing, and compression techniques from the Relational Model to the Object-Oriented Model. We demonstrate that it is possible to implement object-oriented storage and fast access in ISO Prolog.; Comment: Paper presented at the 18th Computational Linguistics In the Netherlands Meeting (CLIN), Nijmegen, 10 December 2007, 15pp

A Query Language for Formal Mathematical Libraries

Rabe, Florian
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 20/04/2012
Relevância na Pesquisa
15.86%
One of the most promising applications of mathematical knowledge management is search: Even if we restrict attention to the tiny fragment of mathematics that has been formalized, the amount exceeds the comprehension of an individual human. Based on the generic representation language MMT, we introduce the mathematical query language QMT: It combines simplicity, expressivity, and scalability while avoiding a commitment to a particular logical formalism. QMT can integrate various search paradigms such as unification, semantic web, or XQuery style queries, and QMT queries can span different mathematical libraries. We have implemented QMT as a part of the MMT API. This combination provides a scalable indexing and query engine that can be readily applied to any library of mathematical knowledge. While our focus here is on libraries that are available in a content markup language, QMT naturally extends to presentation and narration markup languages.

Topic Map: An Ontology Framework for Information Retrieval

Kannan, Rajkumar
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 18/03/2010
Relevância na Pesquisa
15.93%
The basic classification techniques for organizing information are thesauri, taxonomy and faceted classification. Topic map is relatively a new entrant to this information space. Topic map standard describes how complex relationships between abstract concepts and real world resources can be represented using XML syntax. This paper explores how topic map incorporates the traditional techniques and what are its advantages and disadvantages in several dimensions such as content management, indexing, knowledge representation, constraint specification and query languages in the context of information retrieval. The constructs of topic maps are illustrated with a use-case implemented in XTM; Comment: National Conference on Advances in Knowledge Management(NCAKM'10), pp195-198, March 2010, India

Understanding image sequences the role of ontologies in cognitive vision /

Fernández Tena, Carles
Fonte: Bellaterra: Universitat Autònoma de Barcelona, Publicador: Bellaterra: Universitat Autònoma de Barcelona,
Tipo: Tesis i dissertacions electròniques; info:eu-repo/semantics/doctoralThesis Formato: application/pdf
Publicado em //2011 ENG; ENG
Relevância na Pesquisa
15.86%
Descripció del recurs: el 27 de juny de 2011; La gran importància i omnipresència de la informació digital ha posicionat el vídeo com a vehicle preferent per a transmetre informació, i ha donat lloc a un espectacular creixement en la generació de multimèdia a les xarxes socials i de material de vídeo vigilància. Aquesta situació exigeix tot un seguit de necessitats tecnològiques que han motivat moltes iniciatives de recerca per la millora en la comprensió automàtica del contingut en seqüències de vídeo. Com a resposta, la recerca en sistemes de visió cognitiva estudia sistemes capaços de reconèixer esdeveniments complexos i adaptar-se a diferents tipus d'entorn, tot i fent servir coneixement de diversa naturalesa. En aquesta tesi ens proposem reconèixer i descriure el contingut de diferents situacions observades en seqüències de vídeo de diferents dominis, i comunicar la informació resultant a usuaris externs per mitjà d'interfícies d'interacció home-màquina avançades. Aquest problema s'aborda mitjançant el disseny dels mòduls d'alt nivell d'un sistema de visió cognitiva que empra models ontològics. Concretament, ens proposem: (i) fer que el sistema s'adapti a diferents escenaris dins del domini urbà...