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Abstract The Xinjiang unearthed brocade as a significant cultural heritage records the historical and cultural information of diverse ethnic groups, and it also influences cultural product development. However, the existing knowledge concerning these brocades is disorganized, fragmented, and incomplete, hindering a comprehensive understanding of their intricate relationships. To address these issues, this study has developed an integrated ontological model for Xinjiang’s unearthed brocades (XJUBontology). By applying Conceptual Reference Model of International Committee for Documentation (CIDOC CRM) ontology and the Remanufactured Process Planning (RPP) approach, this XJUBontology comprises knowledge about both the brocades and their cultural derivatives, and knowledge in these two domains are able to be organized and refined. The implementation of XJUBontology in Protégé and validation via SPARQL queries not only centralize and manage Xinjiang unearthed brocade-related knowledge but also establish vital connections among this fragmented information. The contribution is to help in associating, managing, and sharing knowledge in the domain of Xinjiang unearthed brocades, providing a framework for establishing related data repository, and helping researchers, apparel and accessories designers, museums, and other cultural and tourism institutions to access a more systematic information to assist their works.

The Xinjiang unearthed brocade as a significant cultural heritage records the historical and cultural information of diverse ethnic groups, and it also influences cultural product development. However, the existing knowledge concerning these brocades is disorganized, fragmented, and incomplete, hindering a comprehensive understanding of their intricate relationships. To address these issues, this study has developed an integrated ontological model for Xinjiang's unearthed brocades (XJUBontology). By applying Conceptual Reference Model of International Committee for Documentation (CIDOC CRM) ontology and the Remanufactured Process Planning (RPP) approach, this XJUBontology comprises knowledge about both the brocades and their cultural derivatives, and knowledge in these two domains are able to be organized and refined. The implementation of XJUBontology in Protégé and validation via SPARQL queries not only centralize and manage Xinjiang unearthed brocade-related knowledge but also establish vital connections among this fragmented information. The contribution is to help in associating, managing, and sharing knowledge in the domain of Xinjiang unearthed brocades, providing a framework for establishing related data repository, and helping researchers, apparel and accessories designers, museums, and other cultural and tourism institutions to access a more systematic information to assist their works. [ABSTRACT FROM AUTHOR]

Ontologies such as CIDOC Conceptual Reference Model (CRM) aim to provide support for reuse, interoperability and advanced search in data through implementation of semantically rich data models. Such models, however, tend to produce complex data with a granularity that can be far from how end users conceptualize a domain. This study, using a qualitative field-research method and a naturalistic approach, aims to explore the information needs of users and how this aligns with CIDOC CRM entities. Main result is a set of ontology patterns describing a range of information needs. Such patterns can guide the implementation of ontology-based information systems. [ABSTRACT FROM AUTHOR]

This article discusses the creation of an Application Profile (AP) for mortuary data and how it was used to integrate the THANADOS anthropological and archaeological database of sepultures in the ARIADNEplus infrastructure. Ontologies increase data interoperability and their potential for being reused. The CIDOC CRM is a formal ontology designed to facilitate the integration, mediation, and interchange of heterogeneous cultural heritage information. APs provide exemplary mappings that other researchers can use as an orientation. For creating and testing the ARIADNE mortuary data AP, data from early medieval cemeteries provided an ideal case study because of the high degree of similarity between sites. The mapping of early medieval cemetery data has shown that mapping to an ontology contributes to data interoperability in several ways. Firstly, it may reveal inconsistencies in the native dataset and improve data organisation for future projects. Secondly, it enables the querying of information concerning graves and cemeteries from different sources across the ARIADNE infrastructure. Finally, this article provides an example of how archaeological data can be aggregated across multiple providers.

Archaeological data repositories usually manage excavation data collections as project-level entities with restricted capacities to facilitate search or aggregation of excavation data at the sub-collection level (trenches, finds, season reports or excavation diaries etc.). More granular access to excavation data collections would enable layered querying across their informational content. In the past decade, several attempts to adapt CIDOC CRM in order to provide more explicit descriptions of the excavation universe have resulted in the use of domain-specific model extensions (e.g. CRMarchaeo, CRMsci, CRMba). Each focuses on corresponding aspects of the excavation research process, while their combined usage has potential to support expressive data mappings at the sub-collection level. As part of the ARIADNEplus project, several CIDOC CRM developers and domain experts have collaborated to undertake conceptual mapping exercises, to address the practicalities of bringing excavation data descriptions together and to link these to our overall aspirations in terms of excavation data discoverability and reusability. In this contribution, we discuss the current state and future directions of the field of semantic representation of archaeological excavation data and consider several issues that constrain the applicability of existing solutions. We identify five key enabling technologies or research areas (Conceptual models and semantic data structures, Conceptual modelling patterns, Data mapping workflows and tools, Learning technologies and Semantic queries) and assign readiness levels to assess their level of technological maturity. Our research demonstrates that while the existing models and domain-specific extensions are deemed adequate, there is a need for more user-friendly methods and tools to structure data in meaningful and interoperable ways. The next steps involve consolidating relevant semantic structures, improving modelling implementation guidance, adhering to consistent workflows, developing engaging curricula, and documenting real-case examples to demonstrate the benefits and results of semantic data integration.

Copyright of Museologia e Patrimônio is the property of Museologia e Patrimonio and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

A typical case of producing records within the domain of conservation of cultural heritage is considered. During condition and collection surveys in memory organisations, surveyors observe types of multiple components of an object but without creating a record for each one. They also observe the absence of components. Such observations are significant to researchers and are documented in registration forms but they are not easy to implement using popular ontologies, such as the CIDOC CRM which primarily consider individuals. In this paper techniques for expressing such observations within the context of the CIDOC CRM in both OWL and RDFS are explored. OWL cardinality restrictions are considered and new special properties deriving from the CIDOC CRM are proposed, namely 'typed properties' and 'negative typed properties' which allow stating the types of multiple individuals and the absence of individuals. The nature of these properties is then explored in relation to their correspondence to longer property paths, their hierarchical arrangement and relevance to thesauri. An example from bookbinding history is used alongside a demonstration of the proposed solution with a dataset from the library collection of the Saint Catherine Monastery in Sinai, Egypt. [ABSTRACT FROM AUTHOR]

As a famous representative dance theatre of Taiwanese modern dance, the Cloud Gate has laid a profound contribution to the development of modern dance in Taiwan. However, apart from the digital archives of the Cloud Gate, other relevant records are extremely rare; as a result, it is difficult to conduct research based on the open data. This study collects the data from the digital archives of the Cloud Gate, combines Internet resources, and primarily uses the CIDOC CRM ontology for establishing the ontology of modern dances created by modern dancers. In addition to CIDOC CRM, Schema.org is employed as an expansion of the metadata fields. As a result, this study has established 12 classes, 46 properties, 248 instances, and 467 relations. Through the feature of linked data, more information about the Cloud Gate on the Internet is aggregated and connected, and their relationship with each other is further established through semantic relations. The tools used in the established platform include Protégé, Django, TimelineJS, D3.js, RDFLib, Apache Jena Fuseki.

This paper presents CRMtex, an ontological model based on CIDOC CRM developed since 2015 to support the study of ancient documents. The model is intended to identify relevant textual entities and to model the scientific process related to the investigation of ancient texts and their features in order to foster integration with other Cultural Heritage research fields. CRMtex is able to identify and define in a clear and unambiguous way the main entities involved in the study and edition of ancient handwritten texts and to describe them by means of appropriate ontological instruments in a multidisciplinary perspective. The CRMtex model also provides tools for managing this kind of complexity by defining classes and properties for describing a handwritten text in all its aspects, from its creation (and/or destruction) in the past, down to its present conservation, investigation and study by scholars, including its transcription, translation, interpretation and publication. The full compatibility of CRMtex with the CIDOC CRM ontology and its extensions ensures persistent interoperability of data encoded by means of its entities with other semantic information produced in cultural heritage and Digital Humanities.

The RESTORE project (smaRt accESs TO digital heRitage and mEmory) started in June 2020 with a duration of 2 years. The project consortium, coordinated by the Istituto Opera del Vocabolario Italiano - CNR (National Research Council of Italy), includes the State Archives and the Museum of Palazzo Pretorio in Prato, the Archival and Bibliographic Superintendency of Tuscany as well as the SPACE SpA company. The project - co-financed by the Region of Tuscany - has as its main purpose the recovery, integration and accessibility of data and digital objects produced in the last twenty years by its partners, in order to build a knowledge base with information on the history of the city and of its institutions, on the development of its economic and entrepreneurial system, and on the role of women in the development of a welfare state and network. Starting from the figure of the merchant Francesco di Marco Datini, his family and his entourage, and broadening the focus from the local dimension it will be possible to reconstruct a significant part of the history of European and Mediterranean cities of the 14th century, including commercial and economical aspects. This paper presents a focused overview on the mapping of the archival and museum digital resources provided by the partners (encoded with different standards, such as: EAD, EAC-CPF, TEI, ICCD etc.) to the CIDOC Conceptual Reference Model, the ontology chosen within the RESTORE project as the “common language” for semantic data integration. The landscape for the scientific and infrastructural development of the project’s activities consists in the collaboration (via the CNR- OVI) with some key players in the EU RIs environment, such as DARIAH-ERIC (ESFRI Landmark for the Humanities and Social Sciences) and E-RIHS (ESFRI project for the Heritage Science), as well as other actors within the EOSC Framework.

While the epistemological affordances and varied impacts of different media on archaeological knowledge production have been scrutinized by many practitioners in recent decades, sources of digital structured data (e.g., spreadsheets, traditional relational databases, content management systems) have seen far less critical enquiry. Structured digital data are often venerated for their capacities to facilitate interoperability, equitable data exchange, democratic forms of engagement with, and widespread reuse of archaeological records, yet their constraints on our knowledge formation processes are arguably profound and deserving of detailed interrogation. In this article, we discuss what we call the emerging supremacy of structured digital data in archaeology and seek to question the consequences of their ubiquity. We ground our argument in a case study of a range of texts produced by practitioners working on the Çatalhöyük Research Project. We attempt to map short excerpts from these texts to structured data via the CIDOC Conceptual Reference Model. This exercise allows making preliminary observations about the representational affordances and resistances of texts (which can be considered as a type of semi- or unstructured data) and structured data. Ultimately, we argue that the push to create more and more structured and structurable data needs to be tempered by a more inclusive digital practice in archaeology that protects difference, incommensurability, and interpretative nuance.

This article discusses the outcomes of research undertaken by the Hypermedia Research Group at the University of South Wales in collaboration with the OASIS team at the Archaeology Data Service in the Linked Data for the Historic Environment (LD4HE) project. The new OASIS system allows stakeholders to record information/events accurately and consistently, using established heritage and spatial vocabularies, including those currently available via the Heritage Data platform. The LD4HE project explores one avenue of enhancing the potential re-use of information recorded by OASIS and making connections with other online data collections. LD4HE enables the creation and export of RDF from the new OASIS V system, a major step towards the production of Linked Data. The main outcomes comprise a conceptual mapping between mandatory OASIS fields and the standard CIDOC-CRM ontology, together with a template-based tool to convert records exported from OASIS to a corresponding RDF representation. A set of SPARQL queries demonstrates the outcomes of the data conversion. New specialised vocabularies required by OASIS have been published as linked data on the Heritage Data platform. The methods are described and illustrated with examples. Reflections on the case study and cost/benefit considerations for Linked Data conversion are discussed, together with possible strategies for reducing the costs of producing Linked Data.

Silk holds significant historical importance in European history, fostering economic growth, innovation in weaving techniques, and the creation of exceptional artifacts. Despite the conservation efforts of numerous institutions, silk heritage remains at risk due to its fragile nature. This paper outlines the methodology employed by the Horizon 2020 SilkNow project aimed at enhancing the promotion and preservation of silk-related cultural heritage collections. We present the development of a CIDOC CRM-based data model for the creation of a comprehensive knowledge graph. We also introduce the SilkNow extension, designed to encapsulate the intricate semantics associated with the production processes of silk fabrics. Our results demonstrate the potential of Semantic Web technologies in safeguarding and enriching the visibility of silk heritage through improved data interoperability and accessibility. Using the Semantic Web to preserve European silk heritage, a CIDOC CRM-based data model and browser extension. [ABSTRACT FROM AUTHOR]

Recently, many Resource Description Framework (RDF) data generation tools have been developed to convert geospatial and non-geospatial data into RDF data. Furthermore, there are several interlinking frameworks that find semantically equivalent geospatial resources in related RDF data sources. However, many existing Linked Open Data sources are currently sparsely interlinked. Also, many RDF generation and interlinking frameworks require a solid knowledge of Semantic Web and Geospatial Semantic Web concepts to successfully deploy them. This article comparatively evaluates features and functionality of the current state-of-the-art geospatial RDF generation tools and interlinking frameworks. This evaluation is specifically performed for cultural heritage researchers and professionals who have limited expertise in computer programming. Hence, a set of criteria has been defined to facilitate the selection of tools and frameworks. In addition, the article provides a methodology to generate geospatial cultural heritage RDF data and to interlink it with the related RDF data. This methodology uses a CIDOC Conceptual Reference Model (CRM) ontology and interlinks the RDF data with DBpedia. Although this methodology has been developed for cultural heritage researchers and professionals, it may also be used by other domain professionals.

Different scientific communities produce different kinds of datasets that rely on different data descriptions, approaches, and logical organisations. In such an environment, it is essential to establish a knowledge communication framework that can guarantee some fundamentals, such as an inclusive description and documentation of the interdisciplinary digital resources, their long-term preservation, access, use, and reuse. The establishment of semantic knowledge integration aims at overcoming such inhomogeneity between data produced by different research communities. Specifically, we refer to those communities aggregated within the e-Infrastructure developed by the European project VI-SEEM: Life Science, Climate Science, and Digital Cultural Heritage. The current research proposes a framework based on CIDOC CRM and its extensions, in particular the CRMsci and CRMdig, and tested on examples identified as interdisciplinary respect to the different and various research areas of the project. Moreover, the semantic solution aims at fulfilling the FAIR principles. [ABSTRACT FROM AUTHOR]

This paper presents an approach how to create FAIR data for prehistoric mining archaeology, based on the CIDOC CRM ontology and semantic web standards. The interdisciplinary Research Centre HiMAT (History of mining activities in the Tyrol and adjacent areas, University of Innsbruck) investigates mining history from prehistoric to modern times with an interdisciplinary approach. One of the projects carried out at the research centre is the multinational DACH project "Prehistoric copper production in the eastern and central Alps". For a specific geographical region of the project, the data transformation to open and re-usable data is investigated in a separate Open Research Data pilot project. The methodological approach will use the FAIR principles to make data Findable, Accessible, Interoperable and Re-usable. Every archaeological investigation in Austria has to be documented according to the requirements of the Austrian Federal Monuments Office. This documentation is deposited in the CERN-based EU supported research data repository ZENODO. For each deposited file, metadata are created through the application of the conceptual metadata schema CIDOC CRM, an ISO standard for Cultural Heritage Information, which was adopted by ARIADNE, the European Union Research Infrastructure for archaeological resources. Concepts specific to mining archaeology research are organized with the DARIAH Back Bone Thesaurus, a model for sustainable interoperable thesauri maintenance, developed in the European Union Digital Research Infrastructure for the Arts and Humanities. Metadata are created through the extraction of information from the documentation and the transformation to a knowledge graph using semantic web standards. To facilitate usage, graph data are exported to hierarchical and tabular formats representing sites and objects with their geographic locations, temporal and typological assignments and links to the research activities and documents. Metadata are deposited together with the documentation into the repository. [ABSTRACT FROM AUTHOR]

This paper describes a system for documenting scientific data produced in Heritage Sciences. The system is built around a general meta-model, flexible enough to provide descriptions, in a formal language, of the datasets produced by scientific research. Resulting metadata can be re-encoded and published in multiple formats. The underlying metadata schema is inspired by CIDOC CRM principles for data modelling and maintains a full compatibility with CIDOC CRM ontology to capture provenance and foster interoperability with Cultural Heritage information. The use of a wide set of thesauri and controlled vocabularies guarantees internal coherence at data and metadata level. Applicability tests are underway at different institutions and a set of user interfaces has been designed to simplify and speed up the process of data gathering and metadata definition. [ABSTRACT FROM AUTHOR]

Over the last years, many projects and institutions have worked on transforming object documentation from several existing cataloguing systems into a CIDOC Conceptual Reference Model (CIDOC CRM) compliant graph representation, as expressed in RDF. There were also various attempts to provide a generally valid path for the transfer of data from Lightweight Information Describing Objects (LIDO), CIDOC’s recommended XML Schema for metadata harvesting, into representations that are suitable for the Semantic Web. They all face the challenge that a detailed mapping, which fully exploits the CRM’s expressiveness and requires semantic assumptions that may not always turn out to be valid. Broad mappings, on the other hand, fail to leverage the potential of Semantic Web technologies. In this paper, we propose a method for using LIDO combined with an associated terminology as a means of evolving existing object documentation into CRM-based RDF representations. By clearly distinguishing between controlled vocabulary and ontology, it is possible to transform object data relatively easily into a minimized, though efficient structure using the CIDOC CRM ontology. This structure will open up the whole world of Semantic Web technologies to be used for further semantic refinement and data quality analysis through exploiting the underlying controlled vocabularies

The Cultural Heritage (CH) domain encompasses a wide range of different disciplines, serving the study, interpretation, curation, and preservation of objects, collections, archives, sites, and the dissemination of related knowledge. In this context, stakeholders generate, retrieve, and share a vast amount of diverse information. Therefore, information interoperability has been considered a crucial task, especially in terms of semantics. In this way, the CIDOC CRM (International Committee for Documentation Conceptual Reference Model) has been widely used as an underlying model that offers interoperability between CH domain metadata standards and ontologies. To the best of our knowledge, an overall review of mapping, merging, and extending this core ontology, as well as an aggregate table which classifies and correlates those ontologies and standards, has not yet been presented. Our study conducts an aggregate review of relevant published efforts and outlines the various associations between them, encapsulating the CIDOC CRM and its specialized models, as well. This work aims to further clarify the field and scope of the different works, identify their methods, and highlight the semantic overlap, or differences, between them.

The paper examines the adoption of the Semantic Web (SW) technologies and Linked Data (LD) principles to manage a knowledge base about opera. The Corago repository collects historical data and documentation about opera works, performances and librettos from the 16th to the 20th century. We experimented the use of semantic technologies to manage the repository's knowledge catalogued following the Functional Requirements for Bibliographic Records (FRBR) relational model. Cultural Heritage Knowledge Bases (CHKB) as Corago could leverage SW and LD to overcome proprietary models and to introduce new information to better satisfy user's requirements. Two well-established reference ontologies as CIDOC Conceptual Reference Model (CIDOC CRM) and FRBR Object Oriented (FRBRoo) are adopted to transpose contents form the legacy conceptual model to RDF. Through the process, we observed that formal semantics allow, not only to adequately represent the opera domain, but also enable to define the way information is being presented to users. This led to the definition of "reception pathways" which become themselves part of the knowledge about opera within the KB. This novel semantic approach is introduced with the Corago Semantic Model (Corago SM), a domain ontology dedicated to functional representation of opera's historical data. Advancements have been tested with an experimental system and assessed through a questionnaire submitted to a panel of users. [ABSTRACT FROM AUTHOR]

This paper presents the new developments of CRMtex, an ontological model based on CIDOC CRM, created to describe ancient texts and other semiotic features appearing on inscriptions, papyri, manuscripts and other similar supports. The model is also designed to describe in a formal way the phenomena related to the production, use, conservation, study and interpretation of textual entities. CRMtex was originally intended to detect the close relationship linking ancient texts with the physical objects on which they are supported, the tools and writing systems used for their production, and the various scientific investigations and readings carried out on the text by modern scholars. It eventually evolved to provide researchers with the fundamental concepts for the correct and complete rendering of textual objects, the events representing their history and the cultural and social environments in and for which they were created. The full compatibility of CRMtex with the CIDOC CRM ontology and its extensions ensures persistent interoperability of data encoded by means of its entities with other semantic information produced in cultural heritage and digital humanities. The new entities presented in this paper deal more closely with textual and intertextual structures and try to deepen the close relationships existing between fragments of text or sequences of signs and the underlying meaning they were originally intended to convey. [ABSTRACT FROM AUTHOR]

This paper addresses the issue of interoperability of data generated by historical research and heritage institutions in order to make them re-usable for new research agendas according to the FAIR principles. After introducing the project's ontology, it proposes a description of the essential aspects of the process of historical knowledge production. It then develops an epistemological and semantic analysis of conceptual data modelling applied to factual historical information, based on the foundational ontologies Constructive Descriptions and Situations and DOLCE, and discusses the reasons for adopting the CIDOC CRM as a core ontology for the field of historical research, but extending it with some relevant, missing high-level classes. Finally, it shows how collaborative data modelling carried out in the ontology management environment OntoME makes it possible to elaborate a communal fine-grained and adaptive ontology of the domain, provided an active research community engages in this process. With this in mind, the Data for history consortium was founded in 2017 and promotes the adoption of a shared conceptualization in the field of historical research. [ABSTRACT FROM AUTHOR]

In recent years, the use of Historic Building Information Modeling (HBIM) has grown prevalent and thus provided a research opportunity. Differing from newly constructed buildings, structural components of historic buildings come with unique physical configurations and have amassed impressive amount of restoration data, all of which must be taken into consideration when incorporating Building Information Modeling. In terms of modelling, it is critical to determine the appropriate level of detail (LoD), level of information (LoI), especially the comprehensiveness and expandability of the database. International Committee for Documentation/Conceptual Reference Model (CIDOC CRM) is a widely accepted standard for ontology model. This study aims to integrate the HBIM and CIDOC CRM to construct a framework and comprehensive operational procedure for the modeling of traditional Minan architecture and a database with complete semantics archiving the background and restoration data. Autodesk A360 is ideal for collaborative. However, there are limitations when it comes to developing advanced models for data management or query; interactive experience; meeting model applications derived from future scenarios. Therefore, the study also offers a 3D modeling platform constructed using Unity, as well as a comparison of the platforms built with Unity, three.js and Autodesk A360 as a reference for users.

In recent years, the use of Historic Building Information Modeling (HBIM) has grown prevalent and thus provided a research opportunity. Differing from newly constructed buildings, structural components of historic buildings come with unique physical configurations and have amassed impressive amount of restoration data, all of which must be taken into consideration when incorporating Building Information Modeling. In terms of modelling, it is critical to determine the appropriate level of detail (LoD), level of information (LoI), especially the comprehensiveness and expandability of the database. International Committee for Documentation/Conceptual Reference Model (CIDOC CRM) is a widely accepted standard for ontology model. This study aims to integrate the HBIM and CIDOC CRM to construct a framework and comprehensive operational procedure for the modeling of traditional Minan architecture and a database with complete semantics archiving the background and restoration data. Autodesk A360 is ideal for collaborative. However, there are limitations when it comes to developing advanced models for data management or query; interactive experience; meeting model applications derived from future scenarios. Therefore, the study also offers a 3D modeling platform constructed using Unity, as well as a comparison of the platforms built with Unity, three.js and Autodesk A360 as a reference for users. [ABSTRACT FROM AUTHOR]

In this paper, we will explore the theme of the documentation of 3D cultural heritage assets, not only as entire artefacts but also including the interesting features of the object from an archaeological perspective. Indeed, the goal is supporting archaeological research and curation, providing a different approach to enrich the documentation of digital resources and their components with corresponding measurements, combining semantic and geometric techniques. A documentation scheme based on CIDOC, where measurements on digital data have been included extending CIDOC CRMdig, is discussed. To annotate accurately the components and features of the artefacts, a controlled vocabulary named Cultural Heritage Artefact Partonomy (CHAP) has been defined and integrated into the scheme as a SKOS taxonomy to showcase the proposed methodology. CHAP concerns Coroplastic, which is the study of ancient terracotta figurines and in particular the Cypriot production. Two case studies have been considered: the terracotta statues from the port of Salamis and the small clay statuettes from the Ayia Irini sanctuary. Focussing both on the artefacts and their digital counterparts, the proposed methodology supports effectively typical operations within digital libraries and repositories (e.g. search, part-based annotation), and more specific objectives such as the archaeological interpretation and digitally assisted classification, as proved in a real archaeological scenario. The proposed approach is general and applies to different contexts, since it is able to support any archaeological research where the goal is an extensive digital documentation of tangible findings including quantitative attributes. [ABSTRACT FROM AUTHOR]

In this paper, we present LODsyndesis, a suite of services over the datasets of the entire Linked Open Data Cloud, which offers fast, content-based dataset discovery and object co-reference. Emphasis is given on supporting scalable cross-dataset reasoning for finding all information about any entity and its provenance. Other tasks that can be benefited from these services are those related to the quality and veracity of data since the collection of all information about an entity, and the cross-dataset inference that is feasible, allows spotting the contradictions that exist, and also provides information for data cleaning or for estimating and suggesting which data are probably correct or more accurate. In addition, we will show how these services can assist the enrichment of existing datasets with more features for obtaining better predictions in machine learning tasks. Finally, we report measurements that reveal the sparsity of the current datasets, as regards their connectivity, which in turn justifies the need for advancing the current methods for data integration. Measurements focusing on the cultural domain are also included, specifically measurements over datasets using CIDOC CRM (Conceptual Reference Model), and connectivity measurements of British Museum data. The services of LODsyndesis are based on special indexes and algorithms and allow the indexing of 2 billion triples in around 80 min using a cluster of 96 computers.

Copyright of Information Sciences / Informacijos Mokslai is the property of Vilnius University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)