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Extraction of object-action and object-state associations from Knowledge Graphs J. Web Semant. (IF 2.5) Pub Date : 2024-03-19 Alexandros Vassiliades, Theodore Patkos, Vasilis Efthymiou, Antonis Bikakis, Nick Bassiliades, Dimitris Plexousakis
Infusing autonomous artificial systems with knowledge about the physical world they inhabit is a critical and long-held aim for the Artificial Intelligence community. Training systems with relevant data is a typical approach; however, finding the data required is not always possible, especially when much of this knowledge is commonsense. In this paper, we present a comparison of topology-based and
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A simple and efficient approach to unsupervised instance matching and its application to linked data of power plants J. Web Semant. (IF 2.5) Pub Date : 2024-02-20 Andreas Eibeck, Shaocong Zhang, Mei Qi Lim, Markus Kraft
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FIDES: An ontology-based approach for making machine learning systems accountable J. Web Semant. (IF 2.5) Pub Date : 2023-11-04 Izaskun Fernandez, Cristina Aceta, Eduardo Gilabert, Iker Esnaola-Gonzalez
Although the maturity of technologies based on Artificial Intelligence (AI) is rather advanced nowadays, their adoption, deployment and application are not as wide as it could be expected. This could be attributed to many barriers, among which the lack of trust of users stands out. Accountability is a relevant factor to progress in this trustworthiness aspect, as it allows to determine the causes that
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Semantic Web and blockchain technologies: Convergence, challenges and research trends J. Web Semant. (IF 2.5) Pub Date : 2023-11-03 Klevis Shkembi, Petar Kochovski, Thanasis G. Papaioannou, Caroline Barelle, Vlado Stankovski
In recent years, on the one hand, we have witnessed the rise of blockchain technology, which has led to better transparency, traceability, and therefore, trustworthy exchange of digital assets among different actors. On the other hand, achieving trustworthy content exchange has been one of the primary objectives of the Semantic Web, part of the World Wide Web Consortium. Semantic Web and blockchain
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Towards human-compatible XAI: Explaining data differentials with concept induction over background knowledge J. Web Semant. (IF 2.5) Pub Date : 2023-09-26 Cara Leigh Widmer, Md Kamruzzaman Sarker, Srikanth Nadella, Joshua Fiechter, Ion Juvina, Brandon Minnery, Pascal Hitzler, Joshua Schwartz, Michael Raymer
Concept induction, which is based on formal logical reasoning over description logics, has been used in ontology engineering in order to create ontology (TBox) axioms from the base data (ABox) graph. In this paper, we show that it can also be used to explain data differentials, for example in the context of Explainable AI (XAI), and we show that it can in fact be done in a way that is meaningful to
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Comprehensible Artificial Intelligence on Knowledge Graphs: A survey J. Web Semant. (IF 2.5) Pub Date : 2023-09-15 Simon Schramm, Christoph Wehner, Ute Schmid
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An analysis of discussions in collaborative knowledge engineering through the lens of Wikidata J. Web Semant. (IF 2.5) Pub Date : 2023-07-25 Elisavet Koutsiana, Gabriel Maia Rocha Amaral, Neal Reeves, Albert Meroño-Peñuela, Elena Simperl
We study discussions in Wikidata, the world’s largest open-source collaborative knowledge graph (KG). This is important because it helps KG community managers understand how discussions are used and inform the design of collaborative practices and support tools. We follow a mixed-methods approach with descriptive statistics, thematic analysis, and statistical tests to investigate how much discussions
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Online maintenance of evolving knowledge graphs with RDFS-based saturation and why-provenance support J. Web Semant. (IF 2.5) Pub Date : 2023-07-07 Khalid Belhajjame, Mohamed-Yassine Mejri
Enterprise RDF knowledge graphs are often built using extraction data pipelines that are fed by several heterogeneous sources (relational databases, CSV files or even unstructured textual data). As a direct consequence, the construction of these KGs undergoes a number of changes in the early stages of their life cycle, which are initiated by a human developer and therefore need to be done interactively
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Ontology alignment with semantic and structural embeddings J. Web Semant. (IF 2.5) Pub Date : 2023-07-06 Zhigang Hao, Wolfgang Mayer, Jingbo Xia, Guoliang Li, Li Qin, Zaiwen Feng
Ontology alignment is essential for data integration and interoperability across multiple applications across diverse disciplines. In recent decades, significant advancements have been made in the development of advanced methods and systems for ontology alignment. Empirical results have suggested that ontological semantics can be effectively employed to enhance the alignment process. Besides, structural
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SemanticHadith: An ontology-driven knowledge graph for the hadith corpus J. Web Semant. (IF 2.5) Pub Date : 2023-06-29 Amna Binte Kamran, Bushra Abro, Amna Basharat
Hadith is an essential and much-celebrated resource for the Islamic domain. It is one of the two primary sources of Islamic legislation. The hadith corpus is quite large, consisting of the collection of sayings, actions and silent approval of the Prophet Muhammad. Minimal efforts have been made to date, towards unified semantic modelling, and knowledge representation of the hadith structure for enhanced
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Semantic integration of audio content providers through the Audio Commons Ontology J. Web Semant. (IF 2.5) Pub Date : 2023-05-08 Miguel Ceriani, Fabio Viola, Saša Rudan, Francesco Antoniazzi, Mathieu Barthet, György Fazekas
A broad variety of audio content is available online through an increasing number of repositories and platforms. Resources such as music tracks, recorded sounds or instrument samples may be accessed by users for tasks ranging from customised music listening and exploration, to music making and sound design using existing sounds and samples. However, each online repository offers its own API and represents
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Pattern-based detection, extraction and analysis of code lists in ontologies and vocabularies J. Web Semant. (IF 2.5) Pub Date : 2023-04-18 Viet Bach Nguyen, Vojtěch Svátek
While the early phase of the Semantic Web put emphasis on conceptual modeling through ontology classes, and the recent years saw the rise of loosely structured, instance-level knowledge graphs (used even for modeling concepts), in this paper, we focus on a third kind of concept modeling: via code lists, primarily those embedded in ontologies and vocabularies. We attempt to characterize the candidate
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Translational argument technology: Engineering a step change in the argument web J. Web Semant. (IF 2.5) Pub Date : 2023-04-14 John Lawrence, Jacky Visser, Chris Reed
Following the establishment in 2006 of a representational standard for the computational handling of structures of argumentation, the Argument Interchange Format, it became possible to develop a vision for the coherent integration of multifarious services, components and tools that create, consume, navigate, analyse, evaluate and manipulate arguments and debates. This vision was the Argument Web with
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Streaming linked data: A survey on life cycle compliance J. Web Semant. (IF 2.5) Pub Date : 2023-04-12 Pieter Bonte, Riccardo Tommasini
Data streams are becoming omnipresent on the Web. The Stream Reasoning (SR) paradigm, which combines Stream Processing with Semantic Web techniques, has been successful in processing these data streams. The progress in SR research has led to several applications in domains such as the Internet of Things, social media analysis, Smart Cities, and many others. Each of these applications produces and consumes
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Stream reasoning with DatalogMTL J. Web Semant. (IF 2.5) Pub Date : 2023-02-10 Przemysław A. Wałęga, Mark Kaminski, Dingmin Wang, Bernardo Cuenca Grau
We study stream reasoning in DatalogMTL—an extension of Datalog with metric temporal operators. We propose a sound and complete stream reasoning algorithm that is applicable to forward-propagating DatalogMTL programs, in which propagation of derived information towards past time points is precluded. Memory consumption in our generic algorithm depends both on the properties of the rule set and the input
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A parametric similarity method: Comparative experiments based on semantically annotated large datasets J. Web Semant. (IF 2.5) Pub Date : 2023-01-31 Antonio De Nicola, Anna Formica, Michele Missikoff, Elaheh Pourabbas, Francesco Taglino
We present the parametric method SemSimp aimed at measuring semantic similarity of digital resources. SemSimp is based on the notion of information content, and it leverages a reference ontology and taxonomic reasoning, encompassing different approaches for weighting the concepts of the ontology. In particular, weights can be computed by considering either the available digital resources or the structure
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Decentralized semantic provision of personal health streams J. Web Semant. (IF 2.5) Pub Date : 2023-01-20 Jean-Paul Calbimonte, Orfeas Aidonopoulos, Fabien Dubosson, Benjamin Pocklington, Ilia Kebets, Pierre-Mikael Legris, Michael Schumacher
Personalized healthcare is nowadays driven by the increasing volumes of patient data, observed and produced continuously thanks to medical devices, mobile sensors, patient-reported outcomes, among other data sources. This data is made available as streams, due to their dynamic nature, which represents an important challenge for processing, querying and interpreting the incoming information. In addition
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IndeGx: A model and a framework for indexing RDF knowledge graphs with SPARQL-based test suits J. Web Semant. (IF 2.5) Pub Date : 2023-01-20 Pierre Maillot, Olivier Corby, Catherine Faron, Fabien Gandon, Franck Michel
In recent years, a large number of RDF datasets have been built and published on the Web in fields as diverse as linguistics or life sciences, as well as general datasets such as DBpedia or Wikidata. The joint exploitation of these datasets requires specific knowledge about their content, access points, and commonalities. However, not all datasets contain a self-description, and not all access points
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Explainable argumentation as a service J. Web Semant. (IF 2.5) Pub Date : 2023-01-11 Nikolaos I. Spanoudakis, Georgios Gligoris, Adamos Koumi, Antonis C. Kakas
Gorgias Cloud offers an integrated application development environment that facilitates the development of argumentation-based systems over the internet. Argumentation is offered as a service in a way that this allows application systems to remotely access the argumentation service and utilize the results of the argumentative computation. Moreover, the service results include the explanation of the
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Building a Knowledge Graph for the History of Vienna with Semantic MediaWiki J. Web Semant. (IF 2.5) Pub Date : 2022-12-21 Bernhard Krabina
While research on semantic wikis is declining, Semantic MediaWiki (SMW) can still play an important role in the emerging field of knowledge graph curation. The Vienna History Wiki, a large knowledge base curated by the city government in collaboration with other institutions and the general public, provides an ideal use case for demonstrating strengths and weaknesses of SMW as well as discussing the
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Solving the SPARQL query containment problem with SpeCS J. Web Semant. (IF 2.5) Pub Date : 2022-12-05 Mirko Spasić, Milena Vujošević Janičić
The query containment problem is a fundamental computer science problem which was originally defined for relational queries. With the growing popularity of the sparql query language, it became relevant and important in this new context: reliable and efficient sparql query containment solvers may have various applications within static analysis of queries, especially in the area of query optimizations
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Answering Count Questions with Structured Answers from Text J. Web Semant. (IF 2.5) Pub Date : 2022-11-28 Shrestha Ghosh, Simon Razniewski, Gerhard Weikum
In this work we address the challenging case of answering count queries in web search, such as number of songs by John Lennon. Prior methods merely answer these with a single, and sometimes puzzling number or return a ranked list of text snippets with different numbers. This paper proposes a methodology for answering count queries with inference, contextualization and explanatory evidence. Unlike previous
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From tabular data to knowledge graphs: A survey of semantic table interpretation tasks and methods J. Web Semant. (IF 2.5) Pub Date : 2022-11-19 Jixiong Liu, Yoan Chabot, Raphaël Troncy, Viet-Phi Huynh, Thomas Labbé, Pierre Monnin
Tabular data often refers to data that is organized in a table with rows and columns. We observe that this data format is widely used on the Web and within enterprise data repositories. Tables potentially contain rich semantic information that still needs to be interpreted. The process of extracting meaningful information out of tabular data with respect to a semantic artefact, such as an ontology
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Knowledge4COVID-19: A semantic-based approach for constructing a COVID-19 related knowledge graph from various sources and analyzing treatments’ toxicities J. Web Semant. (IF 2.5) Pub Date : 2022-10-13 Ahmad Sakor, Samaneh Jozashoori, Emetis Niazmand, Ariam Rivas, Konstantinos Bougiatiotis, Fotis Aisopos, Enrique Iglesias, Philipp D. Rohde, Trupti Padiya, Anastasia Krithara, Georgios Paliouras, Maria-Esther Vidal
In this paper, we present Knowledge4COVID-19, a framework that aims to showcase the power of integrating disparate sources of knowledge to discover adverse drug effects caused by drug–drug interactions among COVID-19 treatments and pre-existing condition drugs. Initially, we focus on constructing the Knowledge4COVID-19 knowledge graph (KG) from the declarative definition of mapping rules using the
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Benchmarking knowledge-driven zero-shot learning J. Web Semant. (IF 2.5) Pub Date : 2022-09-17 Yuxia Geng, Jiaoyan Chen, Xiang Zhuang, Zhuo Chen, Jeff Z. Pan, Juan Li, Zonggang Yuan, Huajun Chen
External knowledge (a.k.a. side information) plays a critical role in zero-shot learning (ZSL) which aims to predict with unseen classes that have never appeared in training data. Several kinds of external knowledge, such as text and attribute, have been widely investigated, but they alone are limited with incomplete semantics. Some very recent studies thus propose to use Knowledge Graph (KG) due to
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LaSER: Language-specific event recommendation J. Web Semant. (IF 2.5) Pub Date : 2022-09-17 Sara Abdollahi, Simon Gottschalk, Elena Demidova
While societal events often impact people worldwide, a significant fraction of events has a local focus that primarily affects specific language communities. Examples include national elections, the development of the Coronavirus pandemic in different countries, and local film festivals such as the César Awards in France and the Moscow International Film Festival in Russia. However, existing entity
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Semantic Web of Musical Things: Achieving interoperability in the Internet of Musical Things J. Web Semant. (IF 2.5) Pub Date : 2022-09-17 Luca Turchet, Francesco Antoniazzi
The Internet of Musical Things (IoMusT) refers to the extension of the Internet of Things paradigm to the musical domain. Interoperability represents a central issue within this domain, where heterogeneous Musical Things serving radically different purposes are envisioned to communicate between each other. Automatic discovery of resources is also a desirable feature in IoMusT ecosystems. However, the
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Scaling up knowledge graph creation to large and heterogeneous data sources J. Web Semant. (IF 2.5) Pub Date : 2022-09-16 Enrique Iglesias, Samaneh Jozashoori, Maria-Esther Vidal
RDF knowledge graphs (KG) are powerful data structures to represent factual statements created from heterogeneous data sources. KG creation is laborious and demands data management techniques to be executed efficiently. This paper tackles the problem of the automatic generation of KG creation processes declaratively specified; it proposes techniques for planning and transforming heterogeneous data
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Comparison of biomedical relationship extraction methods and models for knowledge graph creation J. Web Semant. (IF 2.5) Pub Date : 2022-09-14 Nikola Milošević, Wolfgang Thielemann
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Functional harmony ontology: Musical harmony analysis with Description Logics J. Web Semant. (IF 2.5) Pub Date : 2022-09-09 Spyridon Kantarelis, Edmund Dervakos, Natalia Kotsani, Giorgos Stamou
Symbolic representations of music are emerging as an important data domain both for the music industry and for computer science research, aiding in the organization of large collections of music and facilitating the development of creative and interactive AI. An aspect of symbolic representations of music, which differentiates them from audio representations, is their suitability to be linked with
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Declarative RDF graph generation from heterogeneous (semi-)structured data: A systematic literature review J. Web Semant. (IF 2.5) Pub Date : 2022-08-30 Dylan Van Assche, Thomas Delva, Gerald Haesendonck, Pieter Heyvaert, Ben De Meester, Anastasia Dimou
More and more data in various formats are integrated into knowledge graphs. However, there is no overview of existing approaches for generating knowledge graphs from heterogeneous (semi-)structured data, making it difficult to select the right one for a certain use case. To support better decision making, we study the existing approaches for generating knowledge graphs from heterogeneous (semi-)structured
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Health-guided recipe recommendation over knowledge graphs J. Web Semant. (IF 2.5) Pub Date : 2022-08-24 Diya Li, Mohammed J. Zaki, Ching-hua Chen
While the availability of large-scale online recipe collections presents opportunities for health consumers to access a wide variety of recipes, it can be challenging for them to discover relevant recipes. Whereas most recommender systems are designed to offer selections consistent with users’ past behavior, it remains an open problem to offer selections that can help users’ transition from one type
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Towards the Web of Embeddings: Integrating multiple knowledge graph embedding spaces with FedCoder J. Web Semant. (IF 2.5) Pub Date : 2022-08-08 Matthias Baumgartner, Daniele Dell’Aglio, Heiko Paulheim, Abraham Bernstein
The Semantic Web is distributed yet interoperable: Distributed since resources are created and published by a variety of producers, tailored to their specific needs and knowledge; Interoperable as entities are linked across resources, allowing to use resources from different providers in concord. Complementary to the explicit usage of Semantic Web resources, embedding methods made them applicable to
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Detecting topic-based communities in social networks: A study in a real software development network J. Web Semant. (IF 2.5) Pub Date : 2022-07-27 Vitor A.C. Horta, Victor Ströele, Jonice Oliveira, Regina Braga, José Maria N. David, Fernanda Campos
In social network analysis, a key issue is the detection of meaningful communities. This problem consists of finding groups of people who are both connected and semantically aligned. In the software development context, identifying communities considering both collaborations between developers and their skills can help to address critical elements or issues in a project. However, a large amount of
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Structure-sensitive semantic matching for aggregate question answering over knowledge base J. Web Semant. (IF 2.5) Pub Date : 2022-07-26 Shaojuan Wu, Yunjie Wu, Linyi Han, Ya Liu, Jiarui Zhang, Ziqiang Chen, Xiaowang Zhang, Zhiyong Feng
Aggregate question answering essentially returns answers for given questions by obtaining query graphs with unique dependencies between values and corresponding objects. Word order dependency, as the key to uniquely identify dependency of the query graph, reflects the dependencies between the words in the question. However, due to the semantic gap caused by the expression difference between questions
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The Jazz Ontology: A semantic model and large-scale RDF repositories for jazz J. Web Semant. (IF 2.5) Pub Date : 2022-06-30 Polina Proutskova, Daniel Wolff, György Fazekas, Klaus Frieler, Frank Höger, Olga Velichkina, Gabriel Solis, Tillman Weyde, Martin Pfleiderer, Hèlène Camille Crayencour, Geoffroy Peeters, Simon Dixon
Jazz is a musical tradition that is just over 100 years old; unlike in other Western musical traditions, improvisation plays a central role in jazz. Modelling the domain of jazz poses some ontological challenges due to specificities in musical content and performance practice, such as band lineup fluidity and importance of short melodic patterns for improvisation. This paper presents the Jazz Ontology
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LinkingPark: An automatic semantic table interpretation system J. Web Semant. (IF 2.5) Pub Date : 2022-06-16 Shuang Chen, Alperen Karaoglu, Carina Negreanu, Tingting Ma, Jin-Ge Yao, Jack Williams, Feng Jiang, Andy Gordon, Chin-Yew Lin
In this paper, we present LinkingPark, an automatic semantic annotation system for tabular data to knowledge graph matching. LinkingPark is designed as a modular framework which can handle Cell-Entity Annotation (CEA), Column-Type Annotation (CTA), and Columns-Property Annotation (CPA) altogether. It is built upon our previous SemTab 2020 system, which won the 2nd prize among 28 different teams after
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Satisfiability and containment of recursive SHACL J. Web Semant. (IF 2.5) Pub Date : 2022-06-14 Paolo Pareti, George Konstantinidis, Fabio Mogavero
The Shapes Constraint Language (SHACL) is the recent W3C recommendation language for validating RDF data, by verifying certain shapes on graphs. Previous work has largely focused on the validation problem, while the standard decision problems of satisfiability and containment, crucial for design and optimisation purposes, have only been investigated for simplified versions of SHACL. Moreover, the SHACL
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The International Society for the Study of Vascular Anomalies (ISSVA) ontology J. Web Semant. (IF 2.5) Pub Date : 2022-06-11 Philip van Damme, Martijn G. Kersloot, Bruna dos Santos Vieira, Leo Schultze Kool, Ronald Cornet
The International Society for the Study of Vascular Anomalies (ISSVA) provides a classification for vascular anomalies that enables specialists to unambiguously classify diagnoses. This classification is only available in PDF format and is not machine-readable, nor does it provide unique identifiers that allow for structured registration. In this paper, we describe the process of transforming the ISSVA
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Translational relation embeddings for multi-hop knowledge base question answering J. Web Semant. (IF 2.5) Pub Date : 2022-05-26 Ziyan Li, Haofen Wang, Wenqiang Zhang
Multi-hop Knowledge Base Question Answering (KBQA) aims to predict answers that require multi-hop reasoning from the topic entity in the question over the Knowledge Base (KB). Relation extraction is a core step in KBQA, which extracts the relation path from the topic entity to the answer entity. Compared with single-hop questions, multi-hop ones have more complex syntactic structures to understand
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Leveraging enterprise knowledge graph to infer web events’ influences via self-supervised learning J. Web Semant. (IF 2.5) Pub Date : 2022-05-24 Peng Zhu, Dawei Cheng, Siqiang Luo, Ruyao Xu, Yuqi Liang, Yifeng Luo
Knowledge graph (KG) techniques have achieved successful results in many tasks, especially in semantic web and natural language processing domains. In recent years, representation learning on KG has been successfully applied to e-business applications, such as event-driven automatic investment strategies. However, there is still limited research about learning events’ influence on KG for modern quantitative
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An MDE-based methodology for closed-world integrity constraint checking in the semantic web J. Web Semant. (IF 2.5) Pub Date : 2022-05-19 Ambreen Hussain, Wenyan Wu, Zhaozhao Tang
Ontology-based data-centric systems support open-world reasoning. Therefore, for these systems, Web Ontology Language (OWL) and Semantic Web Rule Language (SWRL) are not suitable for expressing integrity constraints based on the closed-world assumption. Thus, the requirement of integrating the open-world assumption of OWL/SWRL with closed-world integrity constraint checking is inevitable. SPARQL, recommended
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Visualising the effects of ontology changes and studying their understanding with ChImp J. Web Semant. (IF 2.5) Pub Date : 2022-05-05 Romana Pernisch, Daniele Dell’Aglio, Mirko Serbak, Rafael S. Gonçalves, Abraham Bernstein
Due to the Semantic Web’s decentralised nature, ontology engineers rarely know all applications that leverage their ontology. Consequently, they are unaware of the full extent of possible consequences that changes might cause to the ontology. Our goal is to lessen the gap between ontology engineers and users by investigating ontology engineers’ understanding of ontology changes’ impact at editing time
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Interactive and iterative visual exploration of knowledge graphs based on shareable and reusable visual configurations J. Web Semant. (IF 2.5) Pub Date : 2022-03-31 Martin Nečaský, Štěpán Stenchlák
Knowledge graphs denote structured data which represent entities and relationships between them in a form of a graph, often expressed in the RDF data model. It may be hard for lay users to explore existing knowledge graphs, especially when graphs from different data sources need to be integrated. In this paper, we present an approach to knowledge graph visual exploration based on the concept of shareable
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Materialisation and data partitioning algorithms for distributed RDF systems J. Web Semant. (IF 2.5) Pub Date : 2022-03-31 Temitope Ajileye, Boris Motik
Many RDF systems support reasoning with Datalog rules via materialisation, where all conclusions of RDF data and the rules are precomputed and explicitly stored in a preprocessing step. As the amount of RDF data used in applications keeps increasing, processing large datasets often requires distributing the data in a cluster of shared-nothing servers. While numerous distributed query answering techniques
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A multiplatform reasoning engine for the Semantic Web of Everything J. Web Semant. (IF 2.5) Pub Date : 2022-03-08 Michele Ruta, Floriano Scioscia, Ivano Bilenchi, Filippo Gramegna, Giuseppe Loseto, Saverio Ieva, Agnese Pinto
The Internet of Everything and Semantic Web can be joined by giving more intelligence to pervasive systems. To that end, reasoning capabilities should be enabled even for very resource-constrained embedded devices. This paper presents Tiny-ME (the Tiny Matchmaking Engine), a matchmaking and reasoning engine for the Web Ontology Language (OWL), designed and implemented with a compact and portable C
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A multiplatform energy-aware OWL reasoner benchmarking framework J. Web Semant. (IF 2.5) Pub Date : 2021-12-24 Floriano Scioscia, Ivano Bilenchi, Michele Ruta, Filippo Gramegna, Davide Loconte
Performance evaluation is increasingly relevant for Web Ontology Language (OWL) reasoners, due to the expanding availability of knowledge corpuses on the Web, the growing variety of applications, and the rise to prominence of mobile and pervasive computing. Motivated mainly by the difficulty of comparing reasoning engines in the Semantic Web of Things (SWoT), this paper introduces evOWLuator, a novel
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A framework for differentially-private knowledge graph embeddings J. Web Semant. (IF 2.5) Pub Date : 2021-12-24 Xiaolin Han, Daniele Dell’Aglio, Tobias Grubenmann, Reynold Cheng, Abraham Bernstein
Knowledge graph (KG) embedding methods are at the basis of many KG-based data mining tasks, such as link prediction and node clustering. However, graphs may contain confidential information about people or organizations, which may be leaked via embeddings. Research recently studied how to apply differential privacy to a number of graphs (and KG) analyses, but embedding methods have not been considered
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A hybrid E-learning recommendation integrating adaptive profiling and sentiment analysis J. Web Semant. (IF 2.5) Pub Date : 2021-12-24 Hadi Ezaldeen, Rachita Misra, Sukant Kishoro Bisoy, Rawaa Alatrash, Rojalina Priyadarshini
This research proposes a novel framework named Enhanced e-Learning Hybrid Recommender System (ELHRS) that provides an appropriate e-content with the highest predicted ratings corresponding to the learner’s particular needs. To accomplish this, a new model is developed to deduce the Semantic Learner Profile automatically. It adaptively associates the learning patterns and rules depending on the learner’s
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Skeleton parsing for complex question answering over knowledge bases J. Web Semant. (IF 2.5) Pub Date : 2021-12-24 Yawei Sun, Pengwei Li, Gong Cheng, Yuzhong Qu
Answering complex questions involving multiple relations over knowledge bases is a challenging task. Many previous works rely on dependency parsing. However, errors in dependency parsing would influence their performance, in particular for long complex questions. In this paper, we propose a novel skeleton grammar to represent the high-level structure of a complex question. This lightweight formalism
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A study of the quality of Wikidata J. Web Semant. (IF 2.5) Pub Date : 2021-12-05 Kartik Shenoy, Filip Ilievski, Daniel Garijo, Daniel Schwabe, Pedro Szekely
Wikidata has been increasingly adopted by many communities for a wide variety of applications, which demand high-quality knowledge to deliver successful results. In this paper, we develop a framework to detect and analyze low-quality statements in Wikidata by shedding light on the current practices exercised by the community. We explore three indicators of data quality in Wikidata, based on: (1) community
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The Smart Musical Instruments Ontology J. Web Semant. (IF 2.5) Pub Date : 2021-11-27 Luca Turchet, Paolo Bouquet, Andrea Molinari, György Fazekas
The Smart Musical Instruments (SMIs) are an emerging category of musical instruments that belongs to the wider class of Musical Things within the Internet of Musical Things paradigm. SMIs encompass sensors, actuators, embedded intelligence, and wireless connectivity to local networks and to the Internet. Interoperability represents a key issue within this domain, where heterogeneous SMIs are envisioned
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A reference architecture for social robots J. Web Semant. (IF 2.5) Pub Date : 2021-11-25 Luigi Asprino, Paolo Ciancarini, Andrea Giovanni Nuzzolese, Valentina Presutti, Alessandro Russo
Social robotics poses tough challenges to software designers who are required to take care of difficult architectural drivers like acceptability, trust of robots as well as to guarantee that robots establish a personalized interaction with their users. Moreover, in this context recurrent software design issues such as ensuring interoperability, improving reusability and customizability of software
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NLIRE: A Natural Language Inference method for Relation Extraction J. Web Semant. (IF 2.5) Pub Date : 2021-11-27 Wenfei Hu, Lu Liu, Yupeng Sun, Yu Wu, Zhicheng Liu, Ruixin Zhang, Tao Peng
Relation extraction task aims at detecting the semantic relation between a pair of entities in a given target sentence. However, previous methods lack the description of the relation definition, thus needing to model the implication of relations during training. To tackle this issue, we propose a natural language inference method for relation extraction. Given a premise and a hypothesis, the natural
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An empirical study of representing adjectives over knowledge bases: Approach, lexicon and application J. Web Semant. (IF 2.5) Pub Date : 2021-11-27 Jiwei Ding, Wei Hu, Xin Yu, Yuzhong Qu
Adjectives are common in natural language, and their usage and semantics have been studied broadly. In recent years, with the rapid growth of knowledge bases (KBs), many knowledge-based question answering (KBQA) systems are developed to answer users’ natural language questions over KBs. A fundamental task of such systems is to transform natural language questions into structural queries, e.g., SPARQL