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  • Evaluating and comparing ontology alignment systems: An MCDM approach
    J. Web Semant. (IF 2.238) Pub Date : 2020-07-12
    Majid Mohammadi; Jafar Rezaei

    Ontology alignment is vital in Semantic Web technologies with numerous applications in diverse disciplines. Due to diversity and abundance of ontology alignment systems, a proper evaluation can portray the evolution of ontology alignment and depicts the efficiency of a system for a particular domain. Evaluation can help system designers recognize the strength and shortcomings of their systems, and

    更新日期:2020-07-13
  • Uncovering hidden semantics of set information in knowledge bases
    J. Web Semant. (IF 2.238) Pub Date : 2020-06-15
    Shrestha Ghosh; Simon Razniewski; Gerhard Weikum

    Knowledge Bases (KBs) contain a wealth of structured information about entities and predicates. This paper focuses on set-valued predicates, i.e., the relationship between an entity and a set of entities. In KBs, this information is often represented in two formats: (i) via counting predicates such as numberOfChildren and staffSize, that store aggregated integers, and (ii) via enumerating predicates

    更新日期:2020-06-22
  • Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changes
    J. Web Semant. (IF 2.238) Pub Date : 2020-06-18
    Asan Agibetov; Matthias Samwald

    Recently, link prediction algorithms based on neural embeddings have gained tremendous popularity in the Semantic Web community, and are extensively used for knowledge graph completion. While algorithmic advances have strongly focused on efficient ways of learning embeddings, fewer attention has been drawn to the different ways their performance and robustness can be evaluated. In this work we propose

    更新日期:2020-06-22
  • IQA: Interactive query construction in semantic question answering systems
    J. Web Semant. (IF 2.238) Pub Date : 2020-06-13
    Hamid Zafar; Mohnish Dubey; Jens Lehmann; Elena Demidova

    Semantic Question Answering (SQA) systems automatically interpret user questions expressed in a natural language in terms of semantic queries. This process involves uncertainty, such that the resulting queries do not always accurately match the user intent, especially for more complex and less common questions. In this article, we aim to empower users in guiding SQA systems towards the intended semantic

    更新日期:2020-06-13
  • Chinese semantic document classification based on strategies of semantic similarity computation and correlation analysis
    J. Web Semant. (IF 2.238) Pub Date : 2020-05-23
    Shuo Yang; Ran Wei; Jingzhi Guo; Hengliang Tan

    Document classification has become an indispensable technology to realize intelligent information services. This technique is often applied to the tasks such as document organization, analysis, and archiving or implemented as a submodule to support high-level applications. It has been shown that semantic analysis can improve the performance of document classification. Although this has been incorporated

    更新日期:2020-05-23
  • The role of knowledge in determining identity of long-tail entities
    J. Web Semant. (IF 2.238) Pub Date : 2020-04-25
    Filip Ilievski; Eduard Hovy; Piek Vossen; Stefan Schlobach; Qizhe Xie

    The NIL entities do not have an accessible representation, which means that their identity cannot be established through traditional disambiguation. Consequently, they have received little attention in entity linking systems and tasks so far. Given the non-redundancy of knowledge on NIL entities, the lack of frequency priors, their potentially extreme ambiguity, and numerousness, they form an extreme

    更新日期:2020-04-25
  • The enslaved ontology: Peoples of the historic slave trade
    J. Web Semant. (IF 2.238) Pub Date : 2020-04-23
    Cogan Shimizu; Pascal Hitzler; Quinn Hirt; Dean Rehberger; Seila Gonzalez Estrecha; Catherine Foley; Alicia M. Sheill; Walter Hawthorne; Jeff Mixter; Ethan Watrall; Ryan Carty; Duncan Tarr

    We present the Enslaved Ontology (V1.0) which was developed for integrating data about the historic slave trade from diverse sources in a use case driven by historians. Ontology development followed modular ontology design principles as derived from ontology design pattern application best practices and the eXtreme Design Methodology. Ontology content focuses on data about historic persons and the

    更新日期:2020-04-23
  • GBKOM: A generic framework for BK-based ontology matching
    J. Web Semant. (IF 2.238) Pub Date : 2020-04-23
    Amina Annane; Zohra Bellahsene

    BK-based matching exploits external background knowledge resources (BK) to fill the semantic gap between the ontologies to align. Existing BK-based matchers implement the indirect matching approach in their internal architecture, which makes any adaptation or reuse of the code difficult. Indeed, to improve a particular step in the BK-based matching process, it is necessary to code the whole process

    更新日期:2020-04-23
  • FEEL: Framework for the integration of Entity Extraction and Linking systems
    J. Web Semant. (IF 2.238) Pub Date : 2020-04-18
    Julio Hernandez; Jose L. Martinez-Rodriguez; Ivan Lopez-Arevalo; Ana B. Rios-Alvarado; Edwin Aldana-Bobadilla

    Entity extraction and linking (EEL) is an important task of the Semantic Web that allows to identify real-world objects from text and associate them with their respective resources from a Knowledge Base. Thus, one purpose of the EEL task is to extract knowledge from text. In recent years, several systems have been proposed for addressing such a task in several domains, languages, and knowledge bases

    更新日期:2020-04-18
  • Relaxing relationship queries on graph data
    J. Web Semant. (IF 2.238) Pub Date : 2020-03-03
    Shuxin Li; Gong Cheng; Chengkai Li

    In many domains we have witnessed the need to search a large entity-relation graph for direct and indirect relationships between a set of entities specified in a query. A search result, called a semantic association (SA), is typically a compact (e.g., diameter-constrained) connected subgraph containing all the query entities. For this problem of SA search, efficient algorithms exist but will return

    更新日期:2020-03-03
  • Curriculum learning for distant supervision relation extraction
    J. Web Semant. (IF 2.238) Pub Date : 2020-02-29
    Qiongxin Liu; Peng Wang; Jiasheng Wang; Jing Ma

    Relation extraction under distant supervision leverages the existing knowledge base to label data automatically, thus greatly reduced the consumption of human labors. Although distant supervision is an efficient method to obtain a large amount of labeled data, the training dataset labeled by distant supervision suffers from noise problem resulting in poor generalization ability of the relation extractor

    更新日期:2020-02-29
  • DABGEO: A reusable and usable global energy ontology for the energy domain
    J. Web Semant. (IF 2.238) Pub Date : 2020-02-05
    Javier Cuenca; Felix Larrinaga; Edward Curry

    The heterogeneity of energy ontologies hinders the interoperability between ontology-based energy management applications to perform a large-scale energy management. Thus, there is the need for a global ontology that provides common vocabularies to represent the energy subdomains. A global energy ontology must provide a balance of reusability–usability to moderate the effort required to reuse it in

    更新日期:2020-02-05
  • The Internet of Musical Things Ontology
    J. Web Semant. (IF 2.238) Pub Date : 2020-01-22
    Luca Turchet; Francesco Antoniazzi; Fabio Viola; Fausto Giunchiglia; György Fazekas

    The Internet of Musical Things (IoMusT) is an emerging research area consisting of the extension of the Internet of Things paradigm to the music domain. Interoperability represents a central issue within this domain, where heterogeneous objects dedicated to the production and/or reception of musical content (Musical Things) are envisioned to communicate between each other. This paper proposes an ontology

    更新日期:2020-01-22
  • Large-scale relation extraction from web documents and knowledge graphs with human-in-the-loop
    J. Web Semant. (IF 2.238) Pub Date : 2019-12-30
    Petar Ristoski; Anna Lisa Gentile; Alfredo Alba; Daniel Gruhl; Steven Welch

    The Semantic Web movement has produced a wealth of curated collections of entities and facts, often referred as Knowledge Graphs. Creating and maintaining such Knowledge Graphs is far from being a solved problem: it is crucial to constantly extract new information from the vast amount of heterogeneous sources of data on the Web. In this work we address the task of Knowledge Graph population. Specifically

    更新日期:2019-12-30
  • SOBA: Semi-automated Ontology Builder for Aspect-based sentiment analysis
    J. Web Semant. (IF 2.238) Pub Date : 2019-12-11
    Lisa Zhuang; Kim Schouten; Flavius Frasincar

    This research explores the possibility of improving knowledge-driven aspect-based sentiment analysis (ABSA) in terms of efficiency and effectiveness. This is done by implementing a Semi-automated Ontology Builder for Aspect-based sentiment analysis (SOBA). Semi-automatization of the ontology building process could produce more extensive ontologies, whilst shortening the building time. Furthermore,

    更新日期:2019-12-11
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