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         "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",
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         "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,<?brk?>(c) datasets usually contain complementary information, (d) datasets can contain data that are erroneous, out-of-date, or conflicting, (e) datasets even about the same domain may follow different conceptualizations of the domain, (f) everything can change (e.g., schemas, data)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"

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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/23f0535ae671f41f9f7fd403414ae2472/diglezakis",         
         "tags" : [
            "metadata","linkedData","semanticWeb"
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         "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",
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         "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"

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