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The RDF Mapping language (RML) is a mapping language defined to express customized mapping rules from heterogeneous data structures and serializations to the RDF [RDF-CONCEPTS] data model. RML is defined as a superset of the W3C-standardized mapping language [R2RML], aiming to extend its applicability and broaden its scope, adding support for data in other structured formats. [R2RML] is the W3C standard to express customized mappings from relational databases to RDF. RML follows exactly the same syntax as R2RML; therefore, RML mappings are themselves RDF graphs. The present document describes the RML language and its concepts through definitions and examples.", "date" : "2021-09-28 10:30:46", "changeDate" : "2021-09-28 08:30:46", "count" : 1, "url" : "https://rml.io/specs/rml/" } , { "type" : "Bookmark", "id" : "https://puma.ub.uni-stuttgart.de/url/7133d34f54e6628a7f98e082374272db/diglezakis", "tags" : [ "metadata","schemaOrg","tools","semanticWeb","verification" ], "intraHash" : "7133d34f54e6628a7f98e082374272db", "label" : "SDO-Check", "user" : "diglezakis", "description" : "SDO Check - The schema.org annotation verification-tool of semantify.it", "date" : "2020-11-09 13:10:59", "changeDate" : "2020-11-09 12:10:59", "count" : 1, "url" : "https://sdocheck.semantify.it/" } , { "type" : "Bookmark", "id" : "https://puma.ub.uni-stuttgart.de/url/893df07b0afe3b82ecf0545e24c06274/diglezakis", "tags" : [ "metadata","schemaOrg","semanticWeb" ], "intraHash" : "893df07b0afe3b82ecf0545e24c06274", "label" : "What a long, strange trip's had been", "user" : "diglezakis", "description" : "Talk given at SemTech 2014 (and earlier, at ISWC 2013) on the evolution of the Semantic Web and Schema.org by R.V. Guha (Google)", "date" : "2020-04-01 11:14:49", "changeDate" : "2020-04-01 09:14:49", "count" : 1, "url" : "https://www.slideshare.net/rvguha/sem-tech2014c" } , { "type" : "Bookmark", "id" : "https://puma.ub.uni-stuttgart.de/url/6ec11fc9bd9d6d37f793c98680ecb3a8/diglezakis", "tags" : [ "metadata","jsonLD","microdata","semanticWeb" ], "intraHash" : "6ec11fc9bd9d6d37f793c98680ecb3a8", "label" : "Web Data Commons Extraction Report - November 2018 Corpus", "user" : "diglezakis", "description" : "Statistics to the crawl of structured data from the Web Data Commons project in November 2018", "date" : "2020-01-13 10:50:42", "changeDate" : "2020-01-13 09:50:42", "count" : 1, "url" : "http://webdatacommons.org/structureddata/2018-12/stats/stats.html" } , { "type" : "Bookmark", "id" : "https://puma.ub.uni-stuttgart.de/url/e7834454ec54d0ca31dfb2caed1156c0/diglezakis", "tags" : [ "ShEx","RDF","metadata","SemanticWeb","community","group" ], "intraHash" : "e7834454ec54d0ca31dfb2caed1156c0", "label" : "Shape Expressions Community Group", "user" : "diglezakis", "description" : "", "date" : "2018-04-10 12:45:18", "changeDate" : "2018-04-10 10:45:18", "count" : 1, "url" : "https://www.w3.org/community/shex/" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2eca329387b2f3fdb6c91a7d77ea206a3/diglezakis", "tags" : [ "metadata","digitalTwin","ontologie","building","semanticWeb" ], "intraHash" : "eca329387b2f3fdb6c91a7d77ea206a3", "interHash" : "91389421eb2b6022aa5ed6309aee313a", "label" : "A review of the application of ontologies and semantic web for building information modelling and digital twins based construction management", "user" : "diglezakis", "description" : "", "date" : "2026-03-30 16:58:47", "changeDate" : "2026-03-30 16:58:47", "count" : 1, "pub-type": "article", "journal": "J Inform Technol Construction (ITcon)", "year": "2025", "url": "", "author": [ "Asha D Palihakkara","Carlos A Osorio-Sandoval","Walid Tizani" ], "authors": [ {"first" : "Asha D", "last" : "Palihakkara"}, {"first" : "Carlos A", "last" : "Osorio-Sandoval"}, {"first" : "Walid", "last" : "Tizani"} ], "volume": "30","pages": "1208--1243", "doi" : "10.36680/j.itcon.2025.049", "bibtexKey": "palihakkara2025review" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/264514983a7ce119c7af95f4dd434b399/diglezakis", "tags" : [ "metadata","ontologie","interoperability","semanticWeb" ], "intraHash" : "64514983a7ce119c7af95f4dd434b399", "interHash" : "59d285d3ea45da4eaa9b770fa6181c79", "label" : "Harmonizing GCW Cryosphere Vocabularies with ENVO and SWEET. Towards a General Model for Semantic Harmonization", "user" : "diglezakis", "description" : "Harmonizing GCW Cryosphere Vocabularies with ENVO and SWEET. Towards a General Model for Semantic Harmonization | Data Science Journal", "date" : "2024-07-26 09:27:23", "changeDate" : "2024-07-26 09:27:23", "count" : 1, "pub-type": "article", "journal": "Data Science Journal","publisher":"Ubiquity Press, Ltd.", "year": "2024", "url": "http://dx.doi.org/10.5334/dsj-2024-026", "author": [ "Ruth Duerr","Pier Luigi Buttigieg","Gary Berg Cross","Kai Lewis Blumberg","Brandon Whitehead","Nancy Wiegand","Kate Rose" ], "authors": [ {"first" : "Ruth", "last" : "Duerr"}, {"first" : "Pier Luigi", "last" : "Buttigieg"}, {"first" : "Gary Berg", "last" : "Cross"}, {"first" : "Kai Lewis", "last" : "Blumberg"}, {"first" : "Brandon", "last" : "Whitehead"}, {"first" : "Nancy", "last" : "Wiegand"}, {"first" : "Kate", "last" : "Rose"} ], "volume": "23", "issn" : "1683-1470", "doi" : "10.5334/dsj-2024-026", "bibtexKey": "Duerr_2024" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/24f334c0f8c03d6160eb15a0b62579558/diglezakis", "tags" : [ "metadata","linkedData","semanticWeb","integration" ], "intraHash" : "4f334c0f8c03d6160eb15a0b62579558", "interHash" : "c96c3eac1cff15103a34fbbb1025b9a0", "label" : "Large-scale Semantic Integration of Linked Data: A Survey", "user" : "diglezakis", "description" : "", "date" : "2024-06-19 15:02:54", "changeDate" : "2024-06-19 15:02:54", "count" : 2, "pub-type": "article", "journal": "ACM Comput. Surv.","publisher":"Association for Computing Machinery","address":"New York, NY, USA", "year": "2019", "url": "https://doi.org/10.1145/3345551", "author": [ "Michalis Mountantonakis","Yannis Tzitzikas" ], "authors": [ {"first" : "Michalis", "last" : "Mountantonakis"}, {"first" : "Yannis", "last" : "Tzitzikas"} ], "volume": "52","number": "5","abstract": "A large number of published datasets (or sources) that follow Linked Data principles is currently available and this number grows rapidly. However, the major target of Linked Data, i.e., linking and integration, is not easy to achieve. In general, information integration is difficult, because (a) datasets are produced, kept, or managed by different organizations using different models, schemas, or formats, (b) the same real-world entities or relationships are referred with different URIs or names and in different natural languages,(c) datasets usually contain complementary information, (d) datasets can contain data that are erroneous, out-of-date, or conflicting, (e) datasets even about the same domain may follow different conceptualizations of the domain, (f) everything can change (e.g., schemas, data) as time passes. This article surveys the work that has been done in the area of Linked Data integration, it identifies the main actors and use cases, it analyzes and factorizes the integration process according to various dimensions, and it discusses the methods that are used in each step. Emphasis is given on methods that can be used for integrating several datasets. Based on this analysis, the article concludes with directions that are worth further research.", "numpages" : "40", "articleno" : "103", "issn" : "0360-0300", "issue_date" : "September 2020", "doi" : "10.1145/3345551", "bibtexKey": "10.1145/3345551" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/23f0535ae671f41f9f7fd403414ae2472/diglezakis", "tags" : [ "metadata","linkedData","semanticWeb" ], "intraHash" : "3f0535ae671f41f9f7fd403414ae2472", "interHash" : "97ce955590fa2e076d8e24fa214aada1", "label" : "A survey on question answering systems over linked data and documents", "user" : "diglezakis", "description" : "", "date" : "2024-06-19 14:53:15", "changeDate" : "2024-06-19 14:53:48", "count" : 1, "pub-type": "article", "journal": "Journal of Intelligent Information Systems", "year": "2020", "url": "https://doi.org/10.1007/s10844-019-00584-7", "author": [ "Eleftherios Dimitrakis","Konstantinos Sgontzos","Yannis Tzitzikas" ], "authors": [ {"first" : "Eleftherios", "last" : "Dimitrakis"}, {"first" : "Konstantinos", "last" : "Sgontzos"}, {"first" : "Yannis", "last" : "Tzitzikas"} ], "volume": "55","number": "2","pages": "233--259","abstract": "Question Answering (QA) systems aim at supplying precise answers to questions, posed by users in a natural language form. They are used in a wide range of application areas, from bio-medicine to tourism. Their underlying knowledge source can be structured data (e.g. RDF graphs and SQL databases), unstructured data in the form of plain text (e.g. textual excerpts from Wikipedia), or combinations of the above. In this paper we survey the recent work that has been done in the area of stateless QA systems with emphasis on methods that have been applied in RDF and Linked Data, documents, and mixtures of these. We identify the main challenges, we categorize the existing approaches according to various aspects, we review 21 recent systems, and 23 evaluation and training datasets that are most commonly used in the literature categorized according to the type of the domain, the underlying knowledge source, the provided tasks, and the associated evaluation metrics.", "issn" : "15737675", "refid" : "Dimitrakis2020", "doi" : "10.1007/s10844-019-00584-7", "bibtexKey": "dimitrakis2020survey" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/20eebb3ef5b8e464f74c55226c201ae32/diglezakis", "tags" : [ "forschungsdaten","metadata","interoperability","semanticWeb","integration" ], "intraHash" : "0eebb3ef5b8e464f74c55226c201ae32", "interHash" : "38e07e0ed9fba44a171eda575674c9dc", "label" : "Semantic Data Integration and Querying: A Survey and Challenges", "user" : "diglezakis", "description" : "Semantic Data Integration and Querying: A Survey and Challenges | ACM Computing Surveys", "date" : "2024-06-19 08:47:39", "changeDate" : "2024-06-19 14:55:40", "count" : 1, "pub-type": "article", "journal": "ACM Comput. Surv.","publisher":"Association for Computing Machinery","address":"New York, NY, USA", "year": "2024", "url": "https://doi.org/10.1145/3653317", "author": [ "Maroua Masmoudi","Sana Ben Abdallah Ben Lamine","Mohamed Hedi Karray","Bernard Archimede","Hajer Baazaoui Zghal" ], "authors": [ {"first" : "Maroua", "last" : "Masmoudi"}, {"first" : "Sana", "last" : "Ben Abdallah Ben Lamine"}, {"first" : "Mohamed Hedi", "last" : "Karray"}, {"first" : "Bernard", "last" : "Archimede"}, {"first" : "Hajer", "last" : "Baazaoui Zghal"} ], "volume": "56","number": "8","pages": "1\u201335","abstract": "Digital revolution produces massive, heterogeneous and isolated data. These latter remain underutilized, unsuitable for integrated querying and knowledge discovering. Hence the importance of this survey on data integration which identifies challenging issues and trends. First, an overview of the different generations and basics of data integration is given. Then, semantic data integration is focused, since it semantically links data allowing wider insights and decision-making. More than thirty works are reviewed. The goal is to help analysts to identify relevant criteria to compare then choose among semantic data integration approaches, focusing on the category (materialized, virtual or hybrid) and querying techniques.", "numpages" : "35", "issn" : "0360-0300", "issue_date" : "August 2024", "doi" : "10.1145/3653317", "bibtexKey": "Masmoudi2024" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/201b4f68368bd19a22618d9b88a52de76/diglezakis", "tags" : [ "metadata","semanticWeb" ], "intraHash" : "01b4f68368bd19a22618d9b88a52de76", "interHash" : "7ea96b6eb7de55583c45bdd68fdf3e74", "label" : "Semantic Web", "user" : "diglezakis", "description" : "Semantic Web: Wege zur vernetzten Wissensgesellschaft | SpringerLink", "date" : "2023-08-18 12:07:57", "changeDate" : "2023-08-18 12:07:57", "count" : 1, "pub-type": "book", "publisher":"Springer Berlin Heidelberg", "year": "2006", "url": "https://doi.org/10.1007%2F3-540-29325-6", "editor": [ "Tassilo Pellegrini","Andreas Blumauer" ], "editors": [ {"first" : "Tassilo", "last" : "Pellegrini"}, {"first" : "Andreas", "last" : "Blumauer"} ], "doi" : "10.1007/3-540-29325-6", "bibtexKey": "2006" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2fde1ec7db47d2ca93e9f154fe8126a55/diglezakis", "tags" : [ "metadata","reasoning","semanticWeb","hermit" ], "intraHash" : "fde1ec7db47d2ca93e9f154fe8126a55", "interHash" : "757e9eee07f7e513380d098acad4e6ca", "label" : "HermiT: An OWL 2 Reasoner", "user" : "diglezakis", "description" : "HermiT: An OWL 2 Reasoner | SpringerLink", "date" : "2023-08-18 12:06:13", "changeDate" : "2023-08-18 12:06:13", "count" : 2, "pub-type": "article", "journal": "Journal of Automated Reasoning", "year": "2014", "url": "https://doi.org/10.1007/s10817-014-9305-1", "author": [ "Birte Glimm","Ian Horrocks","Boris Motik","Giorgos Stoilos","Zhe Wang" ], "authors": [ {"first" : "Birte", "last" : "Glimm"}, {"first" : "Ian", "last" : "Horrocks"}, {"first" : "Boris", "last" : "Motik"}, {"first" : "Giorgos", "last" : "Stoilos"}, {"first" : "Zhe", "last" : "Wang"} ], "volume": "53","number": "3","pages": "245--269","abstract": "This system description paper introduces the OWL 2 reasoner HermiT. The reasoner is fully compliant with the OWL 2 Direct Semantics as standardised by the World Wide Web Consortium (W3C). HermiT is based on the hypertableau calculus, and it supports a wide range of standard and novel optimisations that improve the performance of reasoning on real-world ontologies. Apart from the standard OWL 2 reasoning task of entailment checking, HermiT supports several specialised reasoning services such as class and property classification, as well as a range of features outside the OWL 2 standard such as DL-safe rules, SPARQL queries, and description graphs. We discuss the system's architecture, and we present an overview of the techniques used to support the mentioned reasoning tasks. We further compare the performance of reasoning in HermiT with that of FaCT++ and Pellet---two other popular and widely used OWL 2 reasoners.", "issn" : "1573-0670", "doi" : "10.1007/s10817-014-9305-1", "bibtexKey": "Glimm2014" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/21fddadbd90778bc9ea469ef419e4364f/diglezakis", "tags" : [ "metadata","reasoning","python","semanticWeb","hermit" ], "intraHash" : "1fddadbd90778bc9ea469ef419e4364f", "interHash" : "a5af1747d11cb47f48dbff7cbf3c1018", "label" : "Automatic reasoning", "user" : "diglezakis", "description" : "Automatic reasoning | SpringerLink", "date" : "2023-08-18 12:05:07", "changeDate" : "2023-08-18 12:05:07", "count" : 1, "pub-type": "inbook", "booktitle": "Ontologies with Python: Programming OWL 2.0 Ontologies with Python and Owlready2","publisher":"Apress","address":"Berkeley, CA", "year": "2021", "url": "https://doi.org/10.1007/978-1-4842-6552-9_7", "author": [ "Lamy Jean-Baptiste" ], "authors": [ {"first" : "Lamy", "last" : "Jean-Baptiste"} ], "pages": "157--185","abstract": "In this chapter, we will see how to use the HermiT and Pellet reasoners in Python, in order to check the consistency of an ontology and to perform automatic deductions and classification, on the basis of the logical constructors.", "isbn" : "978-1-4842-6552-9", "doi" : "10.1007/978-1-4842-6552-9_7", "bibtexKey": "Jean-Baptiste2021" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2652e5d37ae28e92dea688ffb9700e2d7/diglezakis", "tags" : [ "metadata","knowledgegraph","semanticWeb","publications" ], "intraHash" : "652e5d37ae28e92dea688ffb9700e2d7", "interHash" : "58469a52920d92c1a898d705b5a47832", "label" : "Scholarly knowledge graphs through structuring scholarly communication: a review", "user" : "diglezakis", "description" : "Scholarly knowledge graphs through structuring scholarly communication: a review | Complex & Intelligent Systems", "date" : "2023-08-03 07:54:08", "changeDate" : "2023-08-03 07:54:08", "count" : 1, "pub-type": "article", "journal": "Complex & Intelligent Systems", "year": "2023", "url": "https://doi.org/10.1007/s40747-022-00806-6", "author": [ "Shilpa Verma","Rajesh Bhatia","Sandeep Harit","Sanjay Batish" ], "authors": [ {"first" : "Shilpa", "last" : "Verma"}, {"first" : "Rajesh", "last" : "Bhatia"}, {"first" : "Sandeep", "last" : "Harit"}, {"first" : "Sanjay", "last" : "Batish"} ], "volume": "9","number": "1","pages": "1059--1095","abstract": "The necessity for scholarly knowledge mining and management has grown significantly as academic literature and its linkages to authors produce enormously. Information extraction, ontology matching, and accessing academic components with relations have become more critical than ever. Therefore, with the advancement of scientific literature, scholarly knowledge graphs have become critical to various applications where semantics can impart meanings to concepts. The objective of study is to report a literature review regarding knowledge graph construction, refinement and utilization in scholarly domain. Based on scholarly literature, the study presents a complete assessment of current state-of-the-art techniques. We presented an analytical methodology to investigate the existing status of scholarly knowledge graphs (SKG) by structuring scholarly communication. This review paper investigates the field of applying machine learning, rule-based learning, and natural language processing tools and approaches to construct SKG. It further presents the review of knowledge graph utilization and refinement to provide a view of current research efforts. In addition, we offer existing applications and challenges across the board in construction, refinement and utilization collectively. This research will help to identify frontier trends of SKG which will motivate future researchers to carry forward their work.", "issn" : "2198-6053", "doi" : "10.1007/s40747-022-00806-6", "bibtexKey": "Verma2023" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/28a0119e30d90b3f1e9c5e6dc995b507e/diglezakis", "tags" : [ "forschungsdaten","metadata","ontologie","recommendation","semanticWeb" ], "intraHash" : "8a0119e30d90b3f1e9c5e6dc995b507e", "interHash" : "fd272b6185cb5c9a5b2e777f2bcf7942", "label" : "D2.5 FAIR Semantics Recommendations Second Iteration", "user" : "diglezakis", "description" : "D2.5 FAIR Semantics Recommendations Second Iteration | Zenodo", "date" : "2021-12-08 14:40:12", "changeDate" : "2021-12-08 13:40:12", "count" : 1, "pub-type": "article", "publisher":"Zenodo", "year": "2020", "url": "https://zenodo.org/record/4314321", "author": [ "Wim Hugo","Yann Le Franc","Gerard Coen","Jessica Parland-von Essen","Luiz Bonino" ], "authors": [ {"first" : "Wim", "last" : "Hugo"}, {"first" : "Yann", "last" : "Le Franc"}, {"first" : "Gerard", "last" : "Coen"}, {"first" : "Jessica", "last" : "Parland-von Essen"}, {"first" : "Luiz", "last" : "Bonino"} ], "copyright" : "Creative Commons Attribution 4.0 International", "language" : "en", "doi" : "10.5281/ZENODO.4314321", "bibtexKey": "https://doi.org/10.5281/zenodo.4314321" } ] }