ESWC SS 2013 - Tuesday Tutorial 1 Maribel Acosta and Barry Norton: Providing ...eswcsummerschool
This document discusses providing linked data. It presents the core tasks of creating, interlinking, and publishing linked data based on linked data principles and lifecycles. Creating linked data involves extracting data, representing it using the RDF data model, assigning URIs to name things, and selecting appropriate vocabularies. Interlinking involves creating RDF links between different data sets at the instance and schema levels. Publishing linked data consists of making the data set and associated metadata accessible.
Linked Data, the Semantic Web, and You discusses key concepts related to Linked Data and the Semantic Web. It defines Linked Data as a set of best practices for publishing and connecting structured data on the web using URIs, HTTP, RDF, and other standards. It also explains semantic web technologies like RDF, ontologies, SKOS, and SPARQL that enable representing and querying structured data on the web. Finally, it discusses how libraries are applying these concepts through projects like BIBFRAME, FAST, library linked data platforms, and the LD4L project to represent bibliographic data as linked open data.
MR^3: Meta-Model Management based on RDFs Revision ReflectionTakeshi Morita
We propose a tool to manage several sorts of relationships among RDF and RDFS. Our tool consists of three main functions: graphical editing of RDF contents, graphical editing of RDFS contents, and meta-model management facility. Metamodel management facility supports maintenance of relationship between RDF and RDFS contents. The above facilities are implemented based on plug-in system. We provide basic plug-in modules for consistency checking of RDFS classes and properties. The prototyping tool, called MR^3 (Meta-Model Management based on RDFs Revision Reflection), is implemented by Java language. Through the experiment of using MR^3, we show how MR^3 contributes the Semantic Web paradigm from the standpoint of RDFs contents management.
Reuse of Structured Data: Semantics, Linkage, and Realizationandrea huang
In order to increase the reuse value of existing datasets, it is now becoming a general practice to add semantic links among the records in a dataset, and to link these records to external resources. The enriched datasets are published on the web for both human and machine to consume and re‐purpose.
In this paper, we make use of publicly available structured records from a digital archive catalogue, and we demonstrate a principled approach to converting the records into semantically rich and interlinked resources for all to reuse. While exploring the various issues involved in the process of reusing and
re‐purposing existing datasets, we review the recent progress in the field of Linked Open Data (LOD), and examine twelve well‐known knowledge bases built with a Linked Data approach.
We also discuss the general issues of data quality, metadata vocabularies, and data provenance. The concrete outcome
of this research work is the following:
(1) a website data.odw.tw that hosts more than 840,000
semantically enriched catalogue records across multiple subject areas,
(2) a lightweight ontology voc4odw for describing data reuse and provenance, among others, and
(3) a set of open source software tools available to all to perform the kind of data conversion and enrichment we did in this research. We have used and extended CKAN (The Comprehensive Knowledge Archive Network) as a platform to host and publish Linked Data. Our extensions to CKAN is open sourced as well.
As the records we drawn from the originally catalogue are released under the Creative Commons licenses, the semantically enriched resources we now re‐publish on the Web are free for all to reuse as well.
The document discusses creating Linked Open Data (LOD) microthesauri from the Art & Architecture Thesaurus (AAT). It defines a microthesaurus as a designated subset of a thesaurus that can function independently. The document provides an overview of creating an AAT-based LOD dataset for a digital art and architecture collection. It also demonstrates how to extract concept URIs and labels from the AAT thesaurus structure using SPARQL queries to build microthesauri.
This document discusses the Semantic Web and Linked Open Data. It explains how the Semantic Web helps integrate data by using shared vocabularies and URIs to normalize meanings between data sources. As more datasets adopt Semantic Web principles by exposing structured data through URIs and RDF formats, individual datasets become less isolated and are interconnected to form a large knowledge base. The document provides examples of querying and exploring Linked Open Data through SPARQL and the LOD Cloud. It also offers recommendations for publishing and working with Linked Open Data.
The document discusses lessons learned in transforming metadata from XML formats to RDF. It describes how libraries and cultural heritage institutions are working to express existing metadata standards like MODS and PBCore in RDF to take advantage of capabilities like linked data. Challenges include mapping XML schemas to RDF ontologies and ensuring RDF can meet identified use cases. Examples are provided of institutions that have transformed metadata to RDF to share across systems or publish as linked open data.
This document discusses considerations for migrating content from Fedora 3 to Fedora 4. It describes the key components of Fedora 3 including objects, datastreams, and relationships defined in RELS-EXT. It then examines options for mapping structural metadata like METS and relationships between objects. For descriptive metadata, it outlines three options: 1) using migration tools, 2) mapping to simple RDF statements, or 3) mapping complex metadata to an external triplestore. The document analyzes the tradeoffs of each approach and emphasizes planning based on current metadata and management needs.
ESWC SS 2013 - Tuesday Tutorial 1 Maribel Acosta and Barry Norton: Providing ...eswcsummerschool
This document discusses providing linked data. It presents the core tasks of creating, interlinking, and publishing linked data based on linked data principles and lifecycles. Creating linked data involves extracting data, representing it using the RDF data model, assigning URIs to name things, and selecting appropriate vocabularies. Interlinking involves creating RDF links between different data sets at the instance and schema levels. Publishing linked data consists of making the data set and associated metadata accessible.
Linked Data, the Semantic Web, and You discusses key concepts related to Linked Data and the Semantic Web. It defines Linked Data as a set of best practices for publishing and connecting structured data on the web using URIs, HTTP, RDF, and other standards. It also explains semantic web technologies like RDF, ontologies, SKOS, and SPARQL that enable representing and querying structured data on the web. Finally, it discusses how libraries are applying these concepts through projects like BIBFRAME, FAST, library linked data platforms, and the LD4L project to represent bibliographic data as linked open data.
MR^3: Meta-Model Management based on RDFs Revision ReflectionTakeshi Morita
We propose a tool to manage several sorts of relationships among RDF and RDFS. Our tool consists of three main functions: graphical editing of RDF contents, graphical editing of RDFS contents, and meta-model management facility. Metamodel management facility supports maintenance of relationship between RDF and RDFS contents. The above facilities are implemented based on plug-in system. We provide basic plug-in modules for consistency checking of RDFS classes and properties. The prototyping tool, called MR^3 (Meta-Model Management based on RDFs Revision Reflection), is implemented by Java language. Through the experiment of using MR^3, we show how MR^3 contributes the Semantic Web paradigm from the standpoint of RDFs contents management.
Reuse of Structured Data: Semantics, Linkage, and Realizationandrea huang
In order to increase the reuse value of existing datasets, it is now becoming a general practice to add semantic links among the records in a dataset, and to link these records to external resources. The enriched datasets are published on the web for both human and machine to consume and re‐purpose.
In this paper, we make use of publicly available structured records from a digital archive catalogue, and we demonstrate a principled approach to converting the records into semantically rich and interlinked resources for all to reuse. While exploring the various issues involved in the process of reusing and
re‐purposing existing datasets, we review the recent progress in the field of Linked Open Data (LOD), and examine twelve well‐known knowledge bases built with a Linked Data approach.
We also discuss the general issues of data quality, metadata vocabularies, and data provenance. The concrete outcome
of this research work is the following:
(1) a website data.odw.tw that hosts more than 840,000
semantically enriched catalogue records across multiple subject areas,
(2) a lightweight ontology voc4odw for describing data reuse and provenance, among others, and
(3) a set of open source software tools available to all to perform the kind of data conversion and enrichment we did in this research. We have used and extended CKAN (The Comprehensive Knowledge Archive Network) as a platform to host and publish Linked Data. Our extensions to CKAN is open sourced as well.
As the records we drawn from the originally catalogue are released under the Creative Commons licenses, the semantically enriched resources we now re‐publish on the Web are free for all to reuse as well.
The document discusses creating Linked Open Data (LOD) microthesauri from the Art & Architecture Thesaurus (AAT). It defines a microthesaurus as a designated subset of a thesaurus that can function independently. The document provides an overview of creating an AAT-based LOD dataset for a digital art and architecture collection. It also demonstrates how to extract concept URIs and labels from the AAT thesaurus structure using SPARQL queries to build microthesauri.
This document discusses the Semantic Web and Linked Open Data. It explains how the Semantic Web helps integrate data by using shared vocabularies and URIs to normalize meanings between data sources. As more datasets adopt Semantic Web principles by exposing structured data through URIs and RDF formats, individual datasets become less isolated and are interconnected to form a large knowledge base. The document provides examples of querying and exploring Linked Open Data through SPARQL and the LOD Cloud. It also offers recommendations for publishing and working with Linked Open Data.
The document discusses lessons learned in transforming metadata from XML formats to RDF. It describes how libraries and cultural heritage institutions are working to express existing metadata standards like MODS and PBCore in RDF to take advantage of capabilities like linked data. Challenges include mapping XML schemas to RDF ontologies and ensuring RDF can meet identified use cases. Examples are provided of institutions that have transformed metadata to RDF to share across systems or publish as linked open data.
This document discusses considerations for migrating content from Fedora 3 to Fedora 4. It describes the key components of Fedora 3 including objects, datastreams, and relationships defined in RELS-EXT. It then examines options for mapping structural metadata like METS and relationships between objects. For descriptive metadata, it outlines three options: 1) using migration tools, 2) mapping to simple RDF statements, or 3) mapping complex metadata to an external triplestore. The document analyzes the tradeoffs of each approach and emphasizes planning based on current metadata and management needs.
Linked Media Management with Apache MarmottaThomas Kurz
The document introduces Apache Marmotta, an open source linked data platform. It provides a linked data server, SPARQL endpoint, and libraries for building linked data applications. Marmotta allows users to easily publish and query RDF data on the web. It also includes features for multimedia management such as semantic annotation of media and extensions for querying over media fragments.
The International Federation of Library Associations and Institutions (IFLA) is responsible for the development and maintenance of International Standard Bibliographic Description (ISBD), UNIMARC, and the "Functional Requirements" family for bibliographic records (FRBR), authority data (FRAD), and subject authority data (FRSAD). ISBD underpins the MARC family of formats used by libraries world-wide for many millions of catalog records, while FRBR is a relatively new model optimized for users and the digital environment. These metadata models, schemas, and content rules are now being expressed in the Resource Description Framework language for use in the Semantic Web.
This webinar provides a general update on the work being undertaken. It describes the development of an Application Profile for ISBD to specify the sequence, repeatability, and mandatory status of its elements. It discusses issues involved in deriving linked data from legacy catalogue records based on monolithic and multi-part schemas following ISBD and FRBR, such as the duplication which arises from copy cataloging and FRBRization. The webinar provides practical examples of deriving high-quality linked data from the vast numbers of records created by libraries, and demonstrates how a shift of focus from records to linked-data triples can provide more efficient and effective user-centered resource discovery services.
Usage of Linked Data: Introduction and Application ScenariosEUCLID project
This presentation introduces the main principles of Linked Data, the underlying technologies and background standards. It provides basic knowledge for how data can be published over the Web, how it can be queried, and what are the possible use cases and benefits. As an example, we use the development of a music portal (based on the MusicBrainz dataset), which facilitates access to a wide range of information and multimedia resources relating to music.
This presentation addresses the main issues of Linked Data and scalability. In particular, it provides gives details on approaches and technologies for clustering, distributing, sharing, and caching data. Furthermore, it addresses the means for publishing data trough could deployment and the relationship between Big Data and Linked Data, exploring how some of the solutions can be transferred in the context of Linked Data.
Open library data and embrace the world library linked data皓仁 柯
The document discusses linked open data and library linked data. It provides an overview of semantic web and linked data principles. It then describes the linked data life cycle and implementation process. The document presents three case studies: 1) Linked data in the National Central Library of Taiwan including datasets and metadata terms. 2) Movie linked data. 3) Linked OPAC. It concludes by discussing the future of linked open data.
Contributing to the Smart City Through Linked Library DataMarcia Zeng
The document discusses how linked library data can contribute to smart cities through two research projects. The first project develops recommendations for preparing bibliographic data as linked open data by unifying metadata from different sources and selecting an appropriate metadata standard. The second project connects library data to unfamiliar datasets available as linked open data by analyzing music-related datasets and aligning library data constructs with those from linked open data sources. The projects lay the technological groundwork for libraries and users to benefit from linked data through discovery and reuse of datasets and by enhancing information services.
Enabling access to Linked Media with SPARQL-MMThomas Kurz
The amount of audio, video and image data on the web is immensely growing, which leads to data management problems based on the hidden character of multimedia. Therefore the interlinking of semantic concepts and media data with the aim to bridge the gap between the document web and the Web of Data has become a common practice and is known as Linked Media. However, the value of connecting media to its semantic meta data is limited due to lacking access methods specialized for media assets and fragments as well as to the variety of used description models. With SPARQL-MM we extend SPARQL, the standard query language for the Semantic Web with media specific concepts and functions to unify the access to Linked Media. In this paper we describe the motivation for SPARQL-MM, present the State of the Art of Linked Media description formats and Multimedia query languages, and outline the specification and implementation of the SPARQL-MM function set.
This document discusses best practices for publishing linked data on the semantic web. It covers key topics such as using URIs to identify things, following the four principles of linked data, establishing links within and across datasets, choosing appropriate vocabularies, adding metadata about datasets and licenses, testing and debugging the data, and achieving higher levels of the five star model of linked open data. The overall goal is to connect and integrate structured data on the web in a way that is discoverable and reusable.
Repositories are systems to safely store and publish digital objects and their descriptive metadata. Repositories mainly serve their data by using web interfaces which are primarily oriented towards human consumption. They either hide their data behind non-generic interfaces or do not publish them at all in a way a computer can process easily. At the same time the data stored in repositories are particularly suited to be used in the Semantic Web as metadata are already available. They do not have to be generated or entered manually for publication as Linked Data. In my talk I will present a concept of how metadata and digital objects stored in repositories can be woven into the Linked (Open) Data Cloud and which characteristics of repositories have to be considered while doing so. One problem it targets is the use of existing metadata to present Linked Data. The concept can be applied to almost every repository software. At the end of my talk I will present an implementation for DSpace, one of the software solutions for repositories most widely used. With this implementation every institution using DSpace should become able to export their repository content as Linked Data.
Overview of how data on the Web of Data can be consumed (first and foremost Linked Data) and implications for the development of usage mining approaches.
References:
Elbedweihy, K., Mazumdar, S., Cano, A. E., Wrigley, S. N., & Ciravegna, F. (2011). Identifying Information Needs by Modelling Collective Query Patterns. COLD, 782.
Elbedweihy, K., Wrigley, S. N., & Ciravegna, F. (2012). Improving Semantic Search Using Query Log Analysis. Interacting with Linked Data (ILD 2012), 61.
Raghuveer, A. (2012). Characterizing machine agent behavior through SPARQL query mining. In Proceedings of the International Workshop on Usage Analysis and the Web of Data, Lyon, France.
Arias, M., Fernández, J. D., Martínez-Prieto, M. A., & de la Fuente, P. (2011). An empirical study of real-world SPARQL queries. arXiv preprint arXiv:1103.5043.
Hartig, O., Bizer, C., & Freytag, J. C. (2009). Executing SPARQL queries over the web of linked data (pp. 293-309). Springer Berlin Heidelberg.
Verborgh, R., Hartig, O., De Meester, B., Haesendonck, G., De Vocht, L., Vander Sande, M., ... & Van de Walle, R. (2014). Querying datasets on the web with high availability. In The Semantic Web–ISWC 2014 (pp. 180-196). Springer International Publishing.
Verborgh, R., Vander Sande, M., Colpaert, P., Coppens, S., Mannens, E., & Van de Walle, R. (2014, April). Web-Scale Querying through Linked Data Fragments. In LDOW.
Luczak-Rösch, M., & Bischoff, M. (2011). Statistical analysis of web of data usage. In Joint Workshop on Knowledge Evolution and Ontology Dynamics (EvoDyn2011), CEUR WS.
Luczak-Rösch, M. (2014). Usage-dependent maintenance of structured Web data sets (Doctoral dissertation, Freie Universität Berlin, Germany), http://edocs.fu-berlin.de/diss/receive/FUDISS_thesis_000000096138.
Data carving using artificial headers info sec conferenceRobert Daniel
This document proposes a new approach to data carving called File Recovery using Artificial Headers (FRAH) that can recover files with corrupted or missing headers. An evaluation of existing data carving tools found they have difficulty recovering fragmented files. FRAH works by inserting an artificial header onto files to circumvent missing headers. Testing showed FRAH could successfully recover files that standard tools could not. However, FRAH has limitations in recovering files where payload data is also missing. Further research is needed to make FRAH more robust.
Introduction to semantic web. The first results in publication of library data into the semantic web at the National Széchényi Libary (National Library of Hungary)
This document discusses advances in file carving techniques for data recovery from disks and unallocated space. It describes various carving methods like header/footer carving, statistical carving, and fragment recovery carving. It also outlines limitations of current file carving tools and proposes ideas for future tools that combine methods and support more file types and fragmented files.
Abstract: File replication is an effective way to enhance file availability and reduce file querying delay. It creates replicas for a file to improve its probability of being encountered by requests. Here, we introduce a new concept of resource for file replication, which considers both node storage and node meeting ability. We theoretically study the influence of resource allocation on the average querying delay and derive an optimal file replication rule (OFRR) that allocates resources to each file based on its popularity and size. We then propose a file replication protocol based on the rule, which approximates the minimum global querying delay in a fully distributed manner.
Linked Data, the Semantic Web, and You discusses key concepts related to Linked Data and the Semantic Web. It introduces Uniform Resource Identifiers (URIs), Resource Description Framework (RDF), ontologies, SPARQL query language, and library projects applying these technologies like BIBFRAME, the Digital Public Library of America, and Europeana. The goal is to connect structured data on the web through shared vocabularies and relationships between resources from different sources.
Presentation by Luiz Olavo Bonino about the current state of the developments on FAIR Data supporting tools at the Dutch Techcentre for Life Sciences Partners Event on November 3-4 2016.
The document discusses the file system interface. It describes key concepts such as files, directories, and access methods. Files are the basic unit of data storage with attributes like name, size, and permissions. Directories organize files in a hierarchical structure and allow searching, creating, deleting and listing files. There are various methods to access files sequentially or directly by record number. The directory structure has evolved from single-level to tree-structured and acyclic graphs to provide efficient searching and grouping of files. File systems need to be mounted before files can be accessed. Permissions control sharing of files between users in a multi-user system.
This document discusses providing linked data. It covers the core tasks of creating, interlinking, and publishing linked data. For creating data, it describes extracting data, naming things with URIs, and selecting vocabularies. Interlinking involves creating RDF links between datasets using properties like owl:sameAs, rdfs:seeAlso, and SKOS mapping properties. Publishing linked data involves creating metadata to describe the dataset, making the data accessible, exposing it in repositories, and validating it.
The document discusses file concepts, file management, and file attributes. It defines a file as a named collection of related information recorded on secondary storage. It describes different types of files including program files, data files, and their various structures. The document also discusses common file operations and types.
This document summarizes a student project on mobility completed in 2013 in Patos de Minas, Brazil. The project contains research on concepts of mobility including notebooks, mobile devices, and wireless networks. It discusses how mobility tools are used in corporate and educational settings.
A paper that examines unharvested computational overhead (CPU cycles) typically found in most large institutions, especially universities and colleges.
Linked Media Management with Apache MarmottaThomas Kurz
The document introduces Apache Marmotta, an open source linked data platform. It provides a linked data server, SPARQL endpoint, and libraries for building linked data applications. Marmotta allows users to easily publish and query RDF data on the web. It also includes features for multimedia management such as semantic annotation of media and extensions for querying over media fragments.
The International Federation of Library Associations and Institutions (IFLA) is responsible for the development and maintenance of International Standard Bibliographic Description (ISBD), UNIMARC, and the "Functional Requirements" family for bibliographic records (FRBR), authority data (FRAD), and subject authority data (FRSAD). ISBD underpins the MARC family of formats used by libraries world-wide for many millions of catalog records, while FRBR is a relatively new model optimized for users and the digital environment. These metadata models, schemas, and content rules are now being expressed in the Resource Description Framework language for use in the Semantic Web.
This webinar provides a general update on the work being undertaken. It describes the development of an Application Profile for ISBD to specify the sequence, repeatability, and mandatory status of its elements. It discusses issues involved in deriving linked data from legacy catalogue records based on monolithic and multi-part schemas following ISBD and FRBR, such as the duplication which arises from copy cataloging and FRBRization. The webinar provides practical examples of deriving high-quality linked data from the vast numbers of records created by libraries, and demonstrates how a shift of focus from records to linked-data triples can provide more efficient and effective user-centered resource discovery services.
Usage of Linked Data: Introduction and Application ScenariosEUCLID project
This presentation introduces the main principles of Linked Data, the underlying technologies and background standards. It provides basic knowledge for how data can be published over the Web, how it can be queried, and what are the possible use cases and benefits. As an example, we use the development of a music portal (based on the MusicBrainz dataset), which facilitates access to a wide range of information and multimedia resources relating to music.
This presentation addresses the main issues of Linked Data and scalability. In particular, it provides gives details on approaches and technologies for clustering, distributing, sharing, and caching data. Furthermore, it addresses the means for publishing data trough could deployment and the relationship between Big Data and Linked Data, exploring how some of the solutions can be transferred in the context of Linked Data.
Open library data and embrace the world library linked data皓仁 柯
The document discusses linked open data and library linked data. It provides an overview of semantic web and linked data principles. It then describes the linked data life cycle and implementation process. The document presents three case studies: 1) Linked data in the National Central Library of Taiwan including datasets and metadata terms. 2) Movie linked data. 3) Linked OPAC. It concludes by discussing the future of linked open data.
Contributing to the Smart City Through Linked Library DataMarcia Zeng
The document discusses how linked library data can contribute to smart cities through two research projects. The first project develops recommendations for preparing bibliographic data as linked open data by unifying metadata from different sources and selecting an appropriate metadata standard. The second project connects library data to unfamiliar datasets available as linked open data by analyzing music-related datasets and aligning library data constructs with those from linked open data sources. The projects lay the technological groundwork for libraries and users to benefit from linked data through discovery and reuse of datasets and by enhancing information services.
Enabling access to Linked Media with SPARQL-MMThomas Kurz
The amount of audio, video and image data on the web is immensely growing, which leads to data management problems based on the hidden character of multimedia. Therefore the interlinking of semantic concepts and media data with the aim to bridge the gap between the document web and the Web of Data has become a common practice and is known as Linked Media. However, the value of connecting media to its semantic meta data is limited due to lacking access methods specialized for media assets and fragments as well as to the variety of used description models. With SPARQL-MM we extend SPARQL, the standard query language for the Semantic Web with media specific concepts and functions to unify the access to Linked Media. In this paper we describe the motivation for SPARQL-MM, present the State of the Art of Linked Media description formats and Multimedia query languages, and outline the specification and implementation of the SPARQL-MM function set.
This document discusses best practices for publishing linked data on the semantic web. It covers key topics such as using URIs to identify things, following the four principles of linked data, establishing links within and across datasets, choosing appropriate vocabularies, adding metadata about datasets and licenses, testing and debugging the data, and achieving higher levels of the five star model of linked open data. The overall goal is to connect and integrate structured data on the web in a way that is discoverable and reusable.
Repositories are systems to safely store and publish digital objects and their descriptive metadata. Repositories mainly serve their data by using web interfaces which are primarily oriented towards human consumption. They either hide their data behind non-generic interfaces or do not publish them at all in a way a computer can process easily. At the same time the data stored in repositories are particularly suited to be used in the Semantic Web as metadata are already available. They do not have to be generated or entered manually for publication as Linked Data. In my talk I will present a concept of how metadata and digital objects stored in repositories can be woven into the Linked (Open) Data Cloud and which characteristics of repositories have to be considered while doing so. One problem it targets is the use of existing metadata to present Linked Data. The concept can be applied to almost every repository software. At the end of my talk I will present an implementation for DSpace, one of the software solutions for repositories most widely used. With this implementation every institution using DSpace should become able to export their repository content as Linked Data.
Overview of how data on the Web of Data can be consumed (first and foremost Linked Data) and implications for the development of usage mining approaches.
References:
Elbedweihy, K., Mazumdar, S., Cano, A. E., Wrigley, S. N., & Ciravegna, F. (2011). Identifying Information Needs by Modelling Collective Query Patterns. COLD, 782.
Elbedweihy, K., Wrigley, S. N., & Ciravegna, F. (2012). Improving Semantic Search Using Query Log Analysis. Interacting with Linked Data (ILD 2012), 61.
Raghuveer, A. (2012). Characterizing machine agent behavior through SPARQL query mining. In Proceedings of the International Workshop on Usage Analysis and the Web of Data, Lyon, France.
Arias, M., Fernández, J. D., Martínez-Prieto, M. A., & de la Fuente, P. (2011). An empirical study of real-world SPARQL queries. arXiv preprint arXiv:1103.5043.
Hartig, O., Bizer, C., & Freytag, J. C. (2009). Executing SPARQL queries over the web of linked data (pp. 293-309). Springer Berlin Heidelberg.
Verborgh, R., Hartig, O., De Meester, B., Haesendonck, G., De Vocht, L., Vander Sande, M., ... & Van de Walle, R. (2014). Querying datasets on the web with high availability. In The Semantic Web–ISWC 2014 (pp. 180-196). Springer International Publishing.
Verborgh, R., Vander Sande, M., Colpaert, P., Coppens, S., Mannens, E., & Van de Walle, R. (2014, April). Web-Scale Querying through Linked Data Fragments. In LDOW.
Luczak-Rösch, M., & Bischoff, M. (2011). Statistical analysis of web of data usage. In Joint Workshop on Knowledge Evolution and Ontology Dynamics (EvoDyn2011), CEUR WS.
Luczak-Rösch, M. (2014). Usage-dependent maintenance of structured Web data sets (Doctoral dissertation, Freie Universität Berlin, Germany), http://edocs.fu-berlin.de/diss/receive/FUDISS_thesis_000000096138.
Data carving using artificial headers info sec conferenceRobert Daniel
This document proposes a new approach to data carving called File Recovery using Artificial Headers (FRAH) that can recover files with corrupted or missing headers. An evaluation of existing data carving tools found they have difficulty recovering fragmented files. FRAH works by inserting an artificial header onto files to circumvent missing headers. Testing showed FRAH could successfully recover files that standard tools could not. However, FRAH has limitations in recovering files where payload data is also missing. Further research is needed to make FRAH more robust.
Introduction to semantic web. The first results in publication of library data into the semantic web at the National Széchényi Libary (National Library of Hungary)
This document discusses advances in file carving techniques for data recovery from disks and unallocated space. It describes various carving methods like header/footer carving, statistical carving, and fragment recovery carving. It also outlines limitations of current file carving tools and proposes ideas for future tools that combine methods and support more file types and fragmented files.
Abstract: File replication is an effective way to enhance file availability and reduce file querying delay. It creates replicas for a file to improve its probability of being encountered by requests. Here, we introduce a new concept of resource for file replication, which considers both node storage and node meeting ability. We theoretically study the influence of resource allocation on the average querying delay and derive an optimal file replication rule (OFRR) that allocates resources to each file based on its popularity and size. We then propose a file replication protocol based on the rule, which approximates the minimum global querying delay in a fully distributed manner.
Linked Data, the Semantic Web, and You discusses key concepts related to Linked Data and the Semantic Web. It introduces Uniform Resource Identifiers (URIs), Resource Description Framework (RDF), ontologies, SPARQL query language, and library projects applying these technologies like BIBFRAME, the Digital Public Library of America, and Europeana. The goal is to connect structured data on the web through shared vocabularies and relationships between resources from different sources.
Presentation by Luiz Olavo Bonino about the current state of the developments on FAIR Data supporting tools at the Dutch Techcentre for Life Sciences Partners Event on November 3-4 2016.
The document discusses the file system interface. It describes key concepts such as files, directories, and access methods. Files are the basic unit of data storage with attributes like name, size, and permissions. Directories organize files in a hierarchical structure and allow searching, creating, deleting and listing files. There are various methods to access files sequentially or directly by record number. The directory structure has evolved from single-level to tree-structured and acyclic graphs to provide efficient searching and grouping of files. File systems need to be mounted before files can be accessed. Permissions control sharing of files between users in a multi-user system.
This document discusses providing linked data. It covers the core tasks of creating, interlinking, and publishing linked data. For creating data, it describes extracting data, naming things with URIs, and selecting vocabularies. Interlinking involves creating RDF links between datasets using properties like owl:sameAs, rdfs:seeAlso, and SKOS mapping properties. Publishing linked data involves creating metadata to describe the dataset, making the data accessible, exposing it in repositories, and validating it.
The document discusses file concepts, file management, and file attributes. It defines a file as a named collection of related information recorded on secondary storage. It describes different types of files including program files, data files, and their various structures. The document also discusses common file operations and types.
This document summarizes a student project on mobility completed in 2013 in Patos de Minas, Brazil. The project contains research on concepts of mobility including notebooks, mobile devices, and wireless networks. It discusses how mobility tools are used in corporate and educational settings.
A paper that examines unharvested computational overhead (CPU cycles) typically found in most large institutions, especially universities and colleges.
WSCJTC_BLEA_Curriculum-July_2010-Current2010-10-21Mark Smith
This document outlines the curriculum blocks for the Basic Law Enforcement Academy from July 2010 to the present. It provides details on 114 individual classes within the academy, including class codes, descriptions, hours, and instructors. The classes cover a range of topics including criminal procedures, patrol procedures, criminal investigations, crisis intervention, traffic enforcement, and defensive tactics. Classes involve lectures, practical exercises, exams and case law presentations. The academy is divided into 4 modules totaling approximately 48 hours each.
This document describes a proposed web-based recruitment management system for a company. The system would allow HR to create job vacancies, store applicant information, schedule interviews, record interview results, and hire applicants. It would consolidate recruitment data currently managed manually and in Excel. The system has modules for authentication, an HR module for managing recruitment tasks, and a reporting module to generate recruitment reports. It requires a Windows server, Tomcat, Oracle database, and supports access via a web browser.
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1. Lifting File Systems into the
Linked Data Cloud with TripFS
Niko Popitsch, University of Vienna / Austria
niko.popitsch@univie.ac.at
Joint work with Bernhard Schandl, University of Vienna / Austria
bernhard.schandl@univie.ac.at
April 27, 2010
WWW 2010 Conference
Raleigh, North Carolina, USA
2. Introduction: Linked File Systems
Major fraction of digital information stored in file systems
File systems currently provide limited support for
Data organization (single hierarchy)
Association of arbitrary meta data with files (unstable identifiers)
Idea: publish parts of a local file system as linked data
Files and directories become RDF resources
Data organization: single tree → semantic graph
Meta data: RDF data model
2
image: www.freeimages.co.uk
3. Representing File Systems as Linked Data
Represent files and directories using appropriate identifiers (HTTP
URIs) and RDF vocabularies
Enrich RDF graph with extracted meta data
Link to other (external) data
Keep HTTP-URI / File-URI mapping consistent
Serve as linked data
image: www.freeimages.co.uk
3
4. Identifying Files and Directories
Linked Data: Identify resources
with HTTP-URIs
image: www.freeimages.co.uk
File URIs are not suitable
Not stable
Not globally unique
Our approach: UUID-based URNs
Random UUIDs can be used in global distributed context (uniqueness)
Universally Unique IDs are opaque (stable)
HTTP-URI Prefix + UUID = HTTP-URI
http://queens:9876/resource/urn:uuid:c1dd60bd-4050-4216-9455-a121efb0fe1b
4
5. Representing Files and Directories
Low-level file system meta data (parent/child relationships, path,
size, creation date, … ) are modeled using our vocabulary
http://purl.org/tripfs/2010/02#
Extractors can be plugged into TripFS
Read files of certain format and extract RDF graph
Normally use/re-use existing semantic Web vocabularies
May extract whole entities related to a file
E.g., artist that created a certain piece of music stored in an MP3 file
Linkers can be plugged into TripFS
May act on extracted meta data as well as on the file data itself
Return an RDF graph containing RDF links to external resources
May also interlink local files/directories
5
6. Stable TripFS identifiers
3. notify
DSNotify is a change detection
2. event
add-on for data sources detection RDF
Watch local FS
indices
Report detected events
5. update
TripFS RDF model update DSNotify TripFS
/
1. watch 4. crawl
Event detection based on feature
vector comparison and plausibility
checks
Detects file create, remove, move (rename)
and update events
6
7. TripFS Change Detection 2
Feature Datatype Similarity Weight
Last access Date Plausibility
Last modication Date Plausibility
IsDirectory Bool Plausibility
Checksum Integer Plausibility
Name String Levensthein 3.0
Extension String Major MIME type 1.0
Path String Levensthein 0.5
Size Long Equality 0.1
Permissions Bitstring Equality 0.1 image: www.freeimages.co.uk
Extracted features, their data type and the strategy used by DSNotify to
calculate a similarity between them.
Some features are used only for plausibility checks
7
8. TripFS Architecture and Implementation
HTTP
FILE/CIFS/SMB/NFS/...
HTTP
/
SPARQL Linked Data Interface Watcher
Crawler
RDF
Extractors
Linkers
TripFS Local Filesystem
Plug-in concept (Several extractors, linkers, watchers are already
implemented)
SPARQL endpoint
Linked data interface
Technologies: Java, Jena, Jetty, Aperture, DSNotify
8
9. TripFS and the Linked Data Cloud
Each TripFS instance is
a “bubble”
Possibly transient
but stable data
Links between
TripFS instances
other LD sources
other remote resources
(e.g., Web pages, etc.)
Local resources in a particular
TripFS instance
9
12. Future Work and Discussion
Linked file systems could become bubbles in the linked data cloud
They could
improve data organization on the desktop
help in various application scenarios like
Enterprise data integration
Ad-hoc sharing of resources and context
Annotation of local data with semantic Web tools
TripFS is a first linked file system prototype
Future work:
Evaluate TripFS regarding scalability and performance
Accuracy of the change detection solution (DSNotify)
Introduce fine grained control for
What is exposed via TripFS
How it is exposed and
Who may access it
Integration with desktop tools (e.g., file explorers)
12
13. Thank you !
Demo and Discussion
http://demo.mminf.univie.ac.at:9876/
bernhard.schandl@univie.ac.at
niko.popitsch@univie.ac.at
13
14. Related work
Semantic file system prototypes
AttrFS: attribute-based access to files
prototypical implementation based on user-level NFS server
Query files by building conjunctive/disjunctive logical expressions
Also: computed attributes (e.g., “age in days”)
LiFS: attributed links between files
FUSE-based prototype
Accessible via enhanced POSIX interface
Many more! SFS, Presto, LISFS, SemDAV, …
Tools for extracting / converting RDF descriptions
Aperture, PiggyBank, Virtuoso Sponger, …
Tools for exposing data representations as linked data
D2R, Triplify, OAI2LOD, XLWrap, …
iNotify could be used on Linux as change detection component in DSNotify
14
15. References
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and Scott A. Brandt. LiFS: An Attribute-Rich File System for Storage Class Memories. In Proceedings of the 23rd IEEE
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Sören Auer, Sebastian Dietzold, Jens Lehmann, Sebastian Hellmann, and David Aumueller. Triplify: Light-weight
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Tim Berners-Lee. Linked Data. World Wide Web Consortium, 2006. Available at
http://www.w3.org/DesignIssues/LinkedData.html
Chris Bizer, Richard Cyganiak, and Tom Heath. How to Publish Linked Data on the Web, 2007. Available at
http://www4.wiwiss.fu-berlin.de/bizer/pub/LinkedDataTutorial/
Sanjay Ghemawat, Howard Gobio, and Shun-Tak Leung. The Google File System. In 19th ACM Symposium on
Operating Systems Principles, 2003.
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Framework: Weaving Multimedia Annotations with the Web. International Journal on Digital Libraries, 10(1), 2009.
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WWW Conference (WWW2010), Raleigh, NC, USA, 2 2010. ACM.
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on Linked Data on the Web (LDOW), Madrid, Spain, 2009
Julius Volz, Christian Bizer, Martin Gaedke, and Georgi Kobilarov. Discovering and Maintaining Links on the Web of
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