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Aspect-Based Sentiment Analysis (ABSA) is a crucial process for assessing customer feedback and gauging satisfaction with products or services. It typically consists of three stages: Aspect Term Extraction (ATE), Aspect Categorization Extraction (ACE), and Sentiment Analysis (SA). Various techniques have been proposed for ATE, including unsupervised, supervised, and hybrid methods. However, many studies face challenges in detecting aspect terms due to reliance on training data, which may not cover all multiple aspect terms and relate semantic aspect terms effectively. This study presents a knowledge-driven approach to automatic semantic aspect term extraction from customer feedback using Linked Open Data (LOD) to enrich aspect extraction outcomes in the training dataset. Additionally, it utilizes the N-gram model to capture complex text patterns and relationships, facilitating accurate classification and analysis of multiple-word terms for each aspect. To assess the effectiveness of the proposed model, experiments were conducted on three benchmark datasets: SemEval 2014, 2015, and 2016. Comparative evaluations with contemporary unsupervised, supervised, and hybrid methods on these datasets yielded F-measures of 0.80, 0.76, and 0.77, respectively. [ABSTRACT FROM AUTHOR]

In 2011, the Bibliothèque nationale de France (BnF) launched the Data.bnf research and development project to meet 3 main goals: to bring together in a single portal the data produced with different formats of the catalogue and the various applications of the BnF, to increase its visibility and promote its reuse by applying the technologies of the semantic web and to experiment a new way of structuring information based on IFLA’s conceptual models, thus foreshadowing the catalogue of the future. The contribution aims to trace the innovations that are partially appreciable and partially in the process of being implemented by Data.bnf, which, while remaining stable in its primary goals, has continued to evolve to improve accessibility and functions and adapt to the needs of users. [ABSTRACT FROM AUTHOR]

This article unpacks the archival, textual, and encoded layers that comprise the Maria Edgeworth Letters Project (MELP), an open-access digital archive containing the correspondence of the Anglo-Irish Regency author Maria Edgeworth and her circle. These layers reveal the impossibility of flattening or standardizing our work and instead advocate for a more inclusive and collaborative digital humanities model that accommodates both institutional and volunteer labor. Just as different methods were used to approach each archive and manage our project across multiple institutions, each transcription requires a different level of care, especially as various notes and collaborators are cited in the final project. Through the use of TEI, we can flexibly represent diverse aspects of each letter while still maintaining a database-readable structure. We endeavor to connect each person, place, or work identified in Edgeworth 's letters and our database to a larger network of linked data in order to place our project in conversation with other archival resources. For entities that are unidentified or unknown, we create new name authority files or produce internal data files that can be viewed by our collaborators and users. MELP 's flexible structure thus allows it to strive for interoperability while refusing to efface the individual traces of its collaborators, entities, and material artifacts. Our article describes how we are building the Maria Edgeworth Letters Project , an open-access archive containing Maria Edgeworth 's correspondence, tracing our steps including image retrieval and processing, metadata generation, transcription, linked open data, and TEI encoding. [ABSTRACT FROM AUTHOR]

There are many items in Wikidata representing scholarly articles. However, these items have been created mostly by volunteer Wikidata editors and not systematically by journal publishers or editors, which can lead to gaps and inconsistencies in the datasets. This article presents findings from a survey investigating practices of library and information studies (LIS) journals in Wikidata item creation. Believing that a significant number of LIS journal editors would be aware of Wikidata and some would be creating Wikidata items for their publications, the authors sent a survey asking 138 English-language LIS journal editors if they created Wikidata items for materials published in their journal and follow-up questions. With a response rate of 41 percent, respondents overwhelmingly indicated that they did not create Wikidata items for materials published in their journal and were completely unaware of or only somewhat familiar with Wikidata. Respondents indicated that more familiarity with Wikidata and its benefits for scholarly journals as well as institutional support for the creation of Wikidata items could lead to greater participation; however, a campaign of education about Wikidata, documentation of benefits, and support for creation would be a necessary first step. The article presents and discusses the results of the survey, but the conclusions that can be drawn are minimal; therefore, the authors also discuss the benefits of creating Wikidata items for LIS journals as a first step in this educational campaign for editors and publishers.

This article outlines the process of creating an automated system for knowledge graph construction from collections of mathematical documents in LATEX format. The MathCollectionOntology, which defines the types of objects and relationships in knowledge graphs, was developed. The introduced toolkit includes methods for extracting mathematical terms, browsing and identifying document topics, extracting entities from LATEX code, and calculating statistical parameters of the graph. The parsed entities are mathematical terms, topics generated through the Latent Dirichlet Allocation, UDC codes, used formulas, author affiliations, cited literature, and others. The knowledge graph captures each extracted object using specific types of relationships defined in the MathCollectionOntology. Here, a knowledge graph was coined for a collection of articles published in Izvestiya VUZov. Matematika journal (1114 Russian-language documents in LATEX format). The thematic terms of the document topics were described. The quantitative parameters of the constructed knowledge graph were obtained.

Phonology is a linguistic discipline that is naturally computational. However, as many researchers are not familiar with the use of digital methods, most of the computation required is still performed by humans. This article presents a training experiment of master's students of the phonology seminar at the University of Porto, bringing the research process directly to the classroom. The experiment was designed to raise students' awareness of the potentialities of combining human and machine computation in phonology. The Centre for Digital Culture and Innovation (CODA) readily embraced this project to showcase the application of digital humanities as humanities in both research and training activities. During this experiment, students were trained to collect and process phonological data using various open-source and free web-based resources. By combining a strict protocol with some individual research freedom, the students were able to make valuable contributions towards Creolistic Studies, while enriching their individual skills. Finally, the interdisciplinary nature of the approach has demonstrated its potential within and beyond the humanities and social sciences fields (e.g., linguistics, archaeology, history, geography, ethnology, sociology, and genetics), by also introducing the students to basic concepts and practices of Open Science and FAIR principles, including Linked Open Data. [ABSTRACT FROM AUTHOR]

The objective of this study is to propose a knowledge organization system (KOS) for the ethnic groups of Laos by utilizing linked open data (LOD) to standardize the metadata. Data of 49 Laos ethnic groups and the techniques of Linked Open Data were used. Linked data of ethnic groups in Lao PDR from other external standardized data sources, including DBpedia and Wikidata, was found. The results indicate that there is limited an information on the ethnic groups of Laos in online databases. This study aims to link and improve data on Laos ethnic groups by utilizing ontology and reconciliation techniques to link incomplete or outdated data, as well as using OpenRefine and RDF extension to link the source database. Although the country has implemented policies to promote the national identity and the tourism economy, much of the related information remains inaccessible to the public as it is only available in official documents. The available information in the online database system would be compared to foreign languages like Vietnamese, Thai, etc., because these areas and ethnic groups were close to each other, and the languages were in the same family. [ABSTRACT FROM AUTHOR]

The development of storage standards for databases of different natures and origins makes it possible to aggregate and interact with different data sources in order to obtain and show complex and thematic information to the end user. This article aims to analyze some possibilities opened up by new applications and hypothesize their possible developments. With this work, using the currently available Web technologies, we would like to verify the potential for the use of Linked Open Data in the world of WebGIS and illustrate an application that allows the user to interact with Linked Open Data through their representation on a map. Italy has an artistic and cultural heritage unique in the world and the Italian Ministry of Cultural Heritage and Activities and Tourism has created and made freely available a dataset in Linked Open Data format that represents it. With the aim of enhancing and making this heritage more usable, the National Research Council (CNR) has created an application that presents this heritage via WebGIS on a map. Following criteria definable by the user, such as the duration, the subject of interest and the style of the trip, tourist itineraries are created through the places that host this heritage. New possibilities open up where the tools made available by the Web can be used together, according to pre-established sequences, to create completely new applications. This can be compared to the use of words, all known in themselves, which, according to pre-established sequences, allow us to create ever new texts. [ABSTRACT FROM AUTHOR]

The study aimed at exploring the perception of librarians toward adopting Linked Open Data in Uganda, a case of selected university libraries. An exploratory survey approach was employed for this study using a mixed methods approach of data collection. The data was analyzed using SPSS and Ms Excel. The targeted population was 78 professional librarians in seven selected public universities. The study was guided by the UTAUT model using the performance expectancy construct. The findings revealed that the respondents perceived that Linked Data would assist the patrons in discovering relevant information and data through links to other data repositories. They also believed that Linked Data interlinks would be used to describe the relationship between two Uniform Resource Identifiers (URIs). The respondents were convinced that Linked Data will enrich data discovery and improve the users' overall search experiences. The study found that respondents perceived that Linked Data will assist the patrons to discover relevant data and benefit research, enrich discovery of data, hence improving their overall searches. Linked Open Data is very important to enable data sharing through the Semantic Web. [ABSTRACT FROM AUTHOR]

The article introduces the recently created database Ancient Coin Finds in Europe: Ukraine (AFE-UKR), with a focus on the finds of Roman coins from South-Western Ukraine, entered into the database. These are 923 coins stored in the Odesa Archaeological Museum, Izmail Local History Museum of the Lower Danube region, National Museum of the History of Ukraine, and a private collection. The coins were discovered accidentally or during the archeological excavations of several sites in Odesa, Mykolaiv, and Vinnytsia regions of Ukraine. The database includes Republican and Imperial issues, Roman provincial coins, and the coins of states under the Roman protectorate, spanning from 49 BC to 408 AD. Most of these findings illustrate the circulation of Roman coins in the ancient centers and their surroundings. The lesser part of coin findings belonged to barbarians, primarily the Goths and Sarmatians. AFE-UKR database is a part of Antike Fundmünzen in Europa (AFE-RGK) project. It is based on Linked Open Data methodologies. At the moment, it consists primarily of coins from museum collections, but plans include incorporating all available data on Roman coin findings from publications and web resources to create a comprehensive database of Roman coin finds in Ukraine, facilitating further study of their circulation. [ABSTRACT FROM AUTHOR]

The article introduces the recently created database Ancient Coin Finds in Europe: Ukraine (AFE-UKR), with a focus on the finds of Roman coins from South-Western Ukraine, entered into the database. These are 923 coins stored in the Odesa Archaeological Museum, Izmail Local History Museum of the Lower Danube region, National Museum of the History of Ukraine, and a private collection. The coins were discovered accidentally or during the archeological excavations of several sites in Odesa, Mykolaiv, and Vinnytsia regions of Ukraine. The database includes Republican and Imperial issues, Roman provincial coins, and the coins of states under the Roman protectorate, spanning from 49 BC to 408 AD. Most of these findings illustrate the circulation of Roman coins in the ancient centers and their surroundings. The lesser part of coin findings belonged to barbarians, primarily the Goths and Sarmatians.AFE-UKR database is a part of Antike Fundmünzen in Europa (AFE-RGK) project. It is based on Linked Open Data methodologies. At the moment, it consists primarily of coins from museum collections, but plans include incorporating all available data on Roman coin findings from publications and web resources to create a comprehensive database of Roman coin finds in Ukraine, facilitating further study of their circulation.

¿Cómo modelar la relación entre la escritura literaria y filosófica en el exilio? El enfoque adoptado aquí parte de los tropos y figuras de la retórica clásica para elaborar una tipología de relaciones. Dos tipos particularmente extensos pueden describirse como metafóricos y metonímicos: los textos literarios aparecen como alegorías en un discurso filosófico y, a la inversa, los conceptos filosóficos se introducen en la literatura como metáforas. La relación metonímica se basa entonces en el encuentro de textos y autores en revistas y otras instituciones. Menos frecuentes son los tipos de metalepsis y apóstrofe, para cada uno de los cuales se presenta un ejemplo. El ensayo de María Zambrano de 1952 sobre el neorrealismo italiano, revisado por segunda vez en 1990 y publicado para un público diferente, pasa así de un diálogo periodístico-literario (con los destinatarios de la revista Bohemia) a un discurso filosófico-teórico (para los lectores del suplemento cultural de Diario 16).

In 2011, the Bibliothèque nationale de France (BNF) launched the Data.bnf research and development project to meet 3 main goals: to bring together in a single portal the data produced with different formats of the catalogue and the various applications of the BNF, to increase its visibility and promote its reuse by applying the technologies of the semantic web and to experiment a new way of structuring information based on IFLA's conceptual models, thus foreshadowing the catalogue of the future. The contribution aims to trace the innovations that are partially appreciable and partially in the process of being implemented by Data.bnf, which, while remaining stable in its primary goals, has continued to evolve to improve accessibility and functions and adapt to the needs of users.

Ever since the vision was formulated, the Semantic Web has inspired many generations of innovations. Semantic technologies have been used to share vast amounts of information on the Web, enhance them with semantics to give them meaning, and enable inference and reasoning on them. Throughout the years, semantic technologies, and in particular knowledge graphs, have been used in search engines, data integration, enterprise settings, and machine learning. In this paper, we recap the classical concepts and foundations of the Semantic Web as well as modern and recent concepts and applications, building upon these foundations. The classical topics we cover include knowledge representation, creating and validating knowledge on the Web, reasoning and linking, and distributed querying. We enhance this classical view of the so-called "Semantic Web Layer Cake" with an update of recent concepts that include provenance, security and trust, as well as a discussion of practical impacts from industry-led contributions. We conclude with an outlook on the future directions of the Semantic Web. This is a living document. If you like to contribute, please contact the first author and visit: https://github.com/ascherp/semantic-web-primer

Women’s presence in STEM (Science, Technology, Engineering and Math) has been growing in relevance, yet research on the topic is met with a lack of data for the construction of consistent analysis. The Equality for Leadership in Latin American STEM Network (ELLAS) aims to develop a Linked Open Data (LOD) platform to help fill this gap. This work is embedded in ELLAS and contributes to (1) a triplication (RDF) of the data in Inep’s Higher Education Census, (2) the creation of a methodology for elaborating ontologies, to be used within the project, that enables an analysis of the presence and permanence of women in STEM areas and (3) its instantiation in the context of Higher Education in the field of computing in Brazil.

Aspect-Based Sentiment Analysis (ABSA) is a crucial process for assessing customer feedback and gauging satisfaction with products or services. It typically consists of three stages: Aspect Term Extraction (ATE), Aspect Categorization Extraction (ACE), and Sentiment Analysis (SA). Various techniques have been proposed for ATE, including unsupervised, supervised, and hybrid methods. However, many studies face challenges in detecting aspect terms due to reliance on training data, which may not cover all multiple aspect terms and relate semantic aspect terms effectively. This study presents a knowledge-driven approach to automatic semantic aspect term extraction from customer feedback using Linked Open Data (LOD) to enrich aspect extraction outcomes in the training dataset. Additionally, it utilizes the N-gram model to capture complex text patterns and relationships, facilitating accurate classification and analysis of multiple-word terms for each aspect. To assess the effectiveness of the proposed model, experiments were conducted on three benchmark datasets: SemEval 2014, 2015, and 2016. Comparative evaluations with contemporary unsupervised, supervised, and hybrid methods on these datasets yielded F-measures of 0.80, 0.76, and 0.77, respectively.

Bibliographic source description has changed under the influence of the Semantic Web development. The sudden increase in the amount of information and different types of content and media, as well as the need for semantically information processing and connecting, have encouraged the redefinition and development of national and international cataloguing standards. First of all, these are the International Standard Bibliographic Description (ISBD) and the Anglo-American Cataloging Rules (AACR), which, trying to involve the before-mentioned changes in its planned third version, has appeared under the name Resource Description and Access (RDA). On the other hand, it should be mentioned that library systems for the organization of knowledge are important resources for realization of the principles and guidelines of the Semantic Web because they contain rich and well-structured data. In addition to a brief overview of semantic web development and its basis characteristics, the paper analyzes the changes in ISBD and RDA standards, as well as in bibliographic metadata schemes, influenced by this direction of web development. The examples of application of semantic web technology in the national libraries of France and Germany, which implement projects related to linked data, are presented. [ABSTRACT FROM AUTHOR]

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Copyright of Investigación Bibliotecológica is the property of UNAM, Centro Universitario de Investigaciones Bibliotecologicas 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.)

After a homage to Gemma Avenoza and a brief review of the technological changes in PhiloBiblon since 1987, there follows a description of the current project, “PhiloBiblon: From Siloed Databases to Linked Open Data via Wikibase: Proof of Concept”. The current rigid structure, with its ten relational tables and almost 1,300 data fields, is abandoned in favor of a much more flexible structure of “triples,” records based on a series of statements of the type Entity + Property + Entity, using the system of Wikidata, in which two entities Q are linked by a property P, e.g., Santillana (Q2877) writes (P50) the “Comedieta dePonza” (Q390408).

The dataset consists of a full morphosyntactic annotation of the normalized letter corpus of the State Archives of Assyria online (SAAo), plus associated metadata regarding sender, recipient, estimated date of composition, script, and dialect of Akkadian (if determinable). This corpus comprises ten of the twenty-one current volumes of SAAo and contains approximately 2600 letters from the royal archives of the late Neo-Assyrian kings. Each letter features morphosyntactic annotations specifying part of speech, lemma, morphological decomposition, and syntactic dependencies of all relevant tokens in the text. The annotations were made with the help of a spaCy language model with additional human checking and completion. The annotations are available both as a set of CONLLU files (one per text) and as linked open data in a single TTL file. The associated metadata is available as a CSV file. Due to the letters’ shared format, topics of concern, and historical period in which they were written, this corpus forms a natural object of study from a linguistic and social historical perspective. It is hoped this data will be of use to researchers wishing to do linguistic and sociolinguistic corpus research on these texts.

The French Enlightenment is a pivotal period in European intellectual and literary history, which can be studied through this dataset of French novels first published between 1751 and 1800. This collection contains 200 French novels in TEI/XML, encoded according to the ‘level-1 schema’ of the European Literary Text Collection (ELTeC), and carefully compiled to reflect the known historical publication of French Novels in that period regarding publication year, gender of author and narrative form. The dataset is connected to a bigger knowledge graph of 331,671 Resource Description Framework triples (RDF) built within the project ‘Mining and Modeling Text’ at Trier University, Germany (2019–2023).

The research starts from some questions left open by a previous study, which had demonstrated the possibility of creating in an automated way the class numbers of the Colon Classification of some works of Italian literature. The article examines the entire process of creating book numbers - an additional part to the class number envisaged by the Colon Classification - starting from the extraction of the necessary data from the Primo catalogue of the University of Udine and, by means of SPARQL queries, from the endpoint of data.bnf. fr. It is then shown how, through the use of the OpenRefine software, the data were organised and the notation of the publications examined was created. The research thus confirmed the possibility of automated or semi-automated creation of class numbers for works and demonstrated the feasibility of creating book numbers.

Die Autoren skizzieren, dass insbesondere lokales und regionales Wissen mit Wikis entsteht und dauerhaft bleibt – als Regionalia in globalen offenen Linkzusammenhängen. “Grass Root Open Access” bedeutet nicht nur, Publikationen auf selbst gezimmerte Art und Weise frei und unter offener Lizenz zu publizieren ("I have published my pdf under a cc license on my personal website”). “Grass Root Open Science” bedeutet auch, den Inhalt, die Daten und Bilder – das Wissen einer publizistischen Arbeit an sich frei, offen und reproduzierbar zu veröffentlichen. Am Beispiel der “Wikifizierung” einer gedruckten, heimatkundlichen Buchpublikation wird gezeigt, wie mit Graswurzelstrategien im Wikiversums Open Science entsteht. Wir skizzieren einen solchen Prozess als ‘linked open’: Methoden und Effekte regionaler Datenpflege als demokratisierende Praxis mittels Citizen Science, mit Blick auf Technologien und Gemeinschaften. Potentiell beeinflussen wir mit offenen, wiki-basierten und damit dezentralen Wissenssystemen die Kalkulation und Rentabilität öffentlicher und quasi-öffentlicher Investitionen in Bildungsressourcen, Informationsinfrastrukturen, Forschung und Entwicklung.

Paolo Bufalini’s Notebook (from here on PBN) is a critical edition of the personal notebook that the Italian politician and intellectual Paolo Bufalini held from 1981 to 1991. The edition offers the opportunity to plunge into the flow of thoughts of a man of the twentieth century who reflects on philosophy, poetry, and politics. The methodical goal of this edition, which is implemented with XML/TEI and RDF graphs, is to create an encoding system using Semantic Web technologies, able to emphasize the complex network of quotations and annotations that fills the pages. The digital edition aims to follow a data-centric paradigm. In this light, PBN is connected to authority files and external knowledge bases, such as DBpedia, VIAF, and WorldCat, to harness the power of the Linked Open Data universe. This review provides the reader with an overview of Paolo Bufalini’s work and the main features of the semantic critical edition. Finally, PBN can be evaluated as a decent edition, which responds to certain requirements of a digital edition, but not to all, and it still lends itself to improvements and new developments.

This article is a report about the progress and current status of the World Historical Gazetteer (whgazetteer.org) (WHG) in the context of its value for helping to organize and record digital and paleographic information. It summarizes the development and functionality of the WHG as a software platform for connecting specialist collections of historical place names. It also reviews the idea of places as entities (rather than simple objects with single labels). It also explains the utility of gazetteers in digital library infrastructure and describes potential future developments. [ABSTRACT FROM AUTHOR]

Automatic storytelling is a broad challenge in research contexts such as Natural Language Processing and Contend Based Image Analysis. Despite the considerable achievements of machine learning techniques in these research fields, combining different approaches to fill the gap between an automatic generated story and human handwriting is hard. This work proposes a novel storytelling framework in the Cultural Heritage domain. We developed our framework based on a Multimedia Knowledge Graph (MKG), a crucial point of our work. Furthermore, we populated our Multimedia Knowledge Graph with a focused crawler that employs deep learning techniques to recognise a multimedia object from web resources. Furthermore, we used a combined approach of deep learning techniques and Linked Open Data (LOD) to retrieve information about images and depicted figures using Instance Segmentation. The system has a dynamic, user-friendly interface that guides the user during the storytelling process. Finally, we evaluated the system from a qualitative and quantitative point of view. [ABSTRACT FROM AUTHOR]

The aim of this article is to present and study how a digital archive can shape and create new ways of producing, publishing, and studying historical sources. Based on our analysis of the COURAGE (Cultural Opposition—Understanding the CultuRal HeritAGE of Dissent in the Former Socialist Countries) Registry about cultural dissent under state socialism in Eastern Europe in the second half of the twentieth century (and focusing on collections about environmental issues in this registry), we seek to understand how different private, amateur, and professional archivists have shaped the scientific and public legacy of cultural dissent under state socialism. The COURAGE Registry conveys a unique view of the history of the Soviet Bloc, providing an assemblage of documents concerning people, groups, institutions, events, and pieces from the time. Together, they tell an alternative story of cultural opposition under socialism, shedding light on important—but until now marginalized—problems, topics, and actors. Our results have shown that cultural opposition in the Registry is understood and constructed as a wide range of forms of engagement and activities, and it is not limited to specific high-cultural or direct political products. The structure of the COURAGE Registry creates a balance among collections that are very diverse in form, and its linked data structure helps connect the information and stories compiled in it. The COURAGE Registry enables researchers to use it as a tool with which to build their own scientific narratives about dissent under socialism. [ABSTRACT FROM AUTHOR]

The application and benefits of Semantic Web Technologies (SWT) for managing, sharing, and (re‐)using of research data are demonstrated in implementations in the field of Materials Science and Engineering (MSE). However, a compilation and classification are needed to fully recognize the scattered published works with its unique added values. Here, the primary use of SWT at the interface with MSE is identified using specifically created categories. This overview highlights promising opportunities for the application of SWT to MSE, such as enhancing the quality of experimental processes, enriching data with contextual information in knowledge graphs, or using ontologies to perform specific queries on semantically structured data. While interdisciplinary work between the two fields is still in its early stages, a great need is identified to facilitate access for nonexperts and develop and provide user‐friendly tools and workflows. The full potential of SWT can best be achieved in the long term by the broad acceptance and active participation of the MSE community. In perspective, these technological solutions will advance the field of MSE by making data FAIR. Data‐driven approaches will benefit from these data structures and their connections to catalyze knowledge generation in MSE. [ABSTRACT FROM AUTHOR]

Integration of data on coin finds into the ARIADNE portal presents a number of challenges, partly related to the use of the Getty AAT as a controlled vocabulary, in particular its incomplete coverage and hierarchical structure. Further problems arise from the fact that the majority of the data are being provided not from primarily numismatic projects and institutions, but rather from disparate archaeological resources that integrate a wide range of artefacts and records. As a result, they often focus less on the peculiarities of using the AAT for coin finds and the difficulties that arise from its use. This article illustrates how this can lead to quite disparate and inconsistent mappings of data to the ARIADNE portal. Potential solutions such as aligning the AAT to the established vocabulary of Nomisma.org, or even implementing the latter in the portal, as well as implementing a standard mapping for coin finds, are discussed. Also addressed are the possibilities for complex, granular searches using the SPARQL endpoint in the ARIADNElab Virtual Research Area.