A framework to specify, extract and manage topic maps driven by ontology

Nowadays, data handled by an institution or company is spread out by more than one database and lots of documents of different types. To extract the information implicit in that data, it is necessary to pick parts from those various archives. To obtain a general overview, those information slices should be gather. Different approaches can be followed to achieve that integration, ranging from the merge of resources till the fusion of the extracted parts. In this paper, we introduce Metamorphosis – a Topic Maps oriented environment to generate conceptual navigators for heterogenous information systems – and we argue that Metamorphosis can be used to achieve the referred interoperability.(undefined

Sistemas de recuperación de información

This document presents a survey of the main contributions that has been made in the topic of the Information Recovery systems (IR). Since the efficiency and the performance of this systems depend on several subsystems that have been growing and suffering changes in an independent way, this survey is organized around four broad thematic areas: representation of documents and queries, data structures, selection of relevant documents and efficiency of Recovery Systems. Finally IRS based en semantics are discussed.Este documento presenta una revisión de los principales aportes que se han hecho en el tema de los sistemas de Recuperación de Información (RI). Dado que la eficiencia y el desempeño de dichos sistemas depende de varios subsistemas y que cada uno de ellos ha ido creciendo y sufriendo cambios de manera independiente, esta revisión discrimina a grandes rasgos los sistemas de recuperación de información en 4 grandes temáticas a saber: Representación de documentos y consultas, estructuras de datos, selección de documentos relevantes y eficiencia de los Sistemas de Recuperación. Por último y a partir de los diferentes documentos estudiados se plantea el trabajo futuro basado en la semántica

Semantic Interoperability in Digital Library Systems

This report is a state-of-the-art overview of activities and research being undertaken in areas relating to semantic interoperability in digital library systems. It has been undertaken as part of the cluster activity of WP5: Knowledge Extraction and Semantic Interoperability (KESI). The authors and contributors draw on the research expertise and experience of a number of organisations (UKOLN, ICS-FORTH, NETLAB, TUC-MUSIC, University of Glamorgan) as well as several work-packages (WP5: Knowledge Extraction and Semantic Interoperability; WP3: Audio-Visual and Non-traditional Objects) within the DELOS2 NoE. In addition, a workshop was held [KESI Workshop Sept. 2004] (co-located with ECDL 2004) in order to provide a forum for the discussion of issues relevant to the topic of this report. We are grateful to those who participated in the forum and for their valuable comments, which have helped to shape this report. Definitions of interoperability, syntactic interoperability and semantic interoperability are presented noting that semantic interoperability is very much about matching concepts as a basis. The NSF Post Digital Libraries Futures Workshop: Wave of the Future [NSF Workshop] has identified semantic interoperability as being of primary importance in digital library research

An algebra for semantic interoperability of information sources

Resolving heterogeneity among the various biological information systems is a crucial problem if we wish to gain value from the many distributed resources available to us. For example, information from multiple protein databases (e.g., Swiss-Prot and PDB) might need to be composed to answer queries posed by end-users. Problems of heterogeneity in hardware, operating systems, interfaces and data structures have been widely addressed, but issues of diverse semantics have been handled mainly in an ad-hoc fashion. This paper highlights the ONION (ONtology compositION) system that enables semantic interoperation among various information sources by articulating the ontologies associated with them. An articulation focuses on the semantically relevant intersection of information resources. Although the generation of articulations (semantic correspondences between the ontologies) cannot be fully automated, we take a semi-automatic approach. ONION uses heuristic algorithms for the automatic generation of suggested articulations. This paper outlines an algebra for ontology composition based on their articulations. We show the properties of the algebraic operators and how they depend upon the articulation functions that generate the articulations. Query optimization is enabled based on the properties of the algebraic operators

An Algebra for Semantic Interoperability of Information Sources

Resolving heterogeneity among the various biological information systems is a crucial problem if we wish to gain value from the many distributed resources available to us. For example, information from multiple protein databases (e.g., Swiss-Prot and PDB) might need to be composed to answer queries posed by end-users. Problems of heterogeneity in hardware, operating systems, interfaces and data structures have been widely addressed, but issues of diverse semantics have been handled mainly in an ad-hoc fashion. This paper highlights the ONION (ONtology compositION) system that enables semantic interoperation among various information sources by articulating the ontologies associated with them. An articulation focuses on the semantically relevant intersection of information resources. Although the generation of articulations (semantic correspondences between the ontologies) cannot be fully automated, we take a semi-automatic approach. ONION uses heuristic algorithms for the automatic generation of suggested articulations. This paper outlines an algebra for ontology composition based on their articulations. We show the properties of the algebraic operators and how they depend upon the articulation functions that generate the articulations. Query optimization is enabled based on the properties of the algebraic operators. 1