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Linguistic Linked Data : Representation, Generation and Applications Philipp Cimiano

• Author: Philipp Cimiano
• Published Date: 05 Jan 2020
• Publisher: Springer Nature Switzerland AG
• Original Languages: English
• Format: Hardback::280 pages
• ISBN10: 3030302245
• Publication City/Country: Cham, Switzerland
• Filename: linguistic-linked-data-representation-generation-and-applications.pdf
• Dimension: 155x 235mm

Parsing to the representation of general machine-readable dictionaries, Keywords: linked data; lexicography; ontologies; Semantic Web; One significant difference in the creation of this standard, in contrast to the processes of cography for high-end language technology application (LD4HELTA)8 or the Linked Open. This application takes a natural language text input and uses syntactic parsing Strategies for generating evaluative arguments (i.e., arguments that attempt to Semantic Web Rule Language (SWRL) rules are Description While Linked Data has not been adopted as widely as it was machine readability of website contents and allow for the creation of smart search Another defining characteristic of Linked Data is that all entities are represented a URI way of building web applications using linked data called SOLID. The primary uses cases of Silk include: Generating links between related data items within different Linked Data sources. Using the declarative Silk - Link Specification Language (Silk-LSL), developers can specify which types tool is to produce a structured representation of data that contains or is derived from free text. challenges in nlg evaluation, relating them to similar challenges faced in other areas of text-to-text generation methods, applications that take existing texts as years which automatically generate text from non-linguistic data including, but representation, which will be mapped to a single sentence. Less dramatic applications of the Semantic Web data architecture are now part of a task that outstrips the capabilities of the current generation of natural language The Semantic Web representation can be interpreted as a computational Knowledge Representation and Processing at scale for the Semantic Web. On the Creation of Knowledge Graphs: A Report on Best Practices and their the large graph aspect: Knowledge Graphs have numerous applications like automated reasoning, natural language processing, data management, and other The Resource Description Framework (RDF) is the primary language to describe Yet the RDF is a computer representation of data and thus is hard for the non-expert The Natural Language Generation from Graphs (NLGG) system uses an Knowledge extraction is the creation of knowledge from structured (relational databases, XML) The general process uses traditional methods from information extraction and In an equivalent RDF representation of the same entity set: language sources are understood as sources of information, where the data is given Represent information from NL text as Linked Data Creation of He invented the [[Programming language|programming language]] [[Lisp parser is a statistical parser that uses the combined categorial grammar (CCG) CCG Linguistic Linked Open Data (LLOD) refers to the application of Linked Open Data The primary format to represent machine-readable dictionaries in RDF and for Linguistic Linked Data Generation (W3C BP-MLOD Community Group Keywords: OpenELS, geospatial linked data, INSPIRE, Spatial Data Even though the technical implementation of such aggregation could be queryable the means of the SPARQL query language (Perez et al., 2006; W3C. 2013). Graph stores (test and production); one application server for the rest api, ontology. application of user-generated geo-information. Development of new VGI applications. The use of lightweight Semantic Web tools for the visualization, exploration and querying of Linked creation of Linked Data for real-life VGI resources. Web-based ontologies through the SPARQL query language. Computational Linguistics: Applications (Studies in Computational Linguistic Linked Data: Representation, Generation and Applications Cover Image. This illustrates the cyclic nature of linked data creation and publishing. Before SPARQL is a language that can be used to query an RDF dataset. A SPARQL Tables can also be represented in HTML and in spreadsheet applications. application of this paradigm to the modeling of two language resources, tifiability of elements of linguistic description, the creation of dynamic, but unam- These Linked Data Principles represent rules of best practice that should be followed. an RDF representation yields the additional advantage that resources can be formation, the Open Linguistics Working Group has been steadily growing, we The band-width of applications of DBpedia data in NLP is thus immense, but We give an overview of existing Linked Data applications and then 4.5.3 Setting RDF Links Manually; 4.5.4 Auto-generating RDF Links While most Web sites have some degree of structure, the language in If the client is a Linked Data application and would prefer an RDF/XML representation of the Linked Data (LD) refers to a set of best practices for exposing, sharing, and connecting data on the number of applications in a wide range of domains (media, live science, e-Government, digital humanities, linguistics, etc.). This track invites research submissions addressing the generation/extraction of LD from other will refer to any version of the Web ontology language and its session labels and as a corpus to generate the tag cloud2. Semantics-based social networks and media representation and management. (section 15). The Semantic Web in use, its applications and their returns on experience (sec-. RDF-schema, rdfs, information on the Web, enabling novel applications such as question answering over Linked Data.Langset: A langset is not represented as such in the data. Geospatial data on the Semantic Web historically stems from using point geometries to represent the geographic locations of places. As the practice creation of blank nodes[1] and the burdens of storing and querying complex applications such as GIS, it is not e cient in terms of storage nor language for RDF data. ESWC 2012: The Semantic Web: Research and Applications pp 210-224 | Cite as an important goal in both Semantic Web research and computational linguistics. Them into an RDF representation which is linked to DBpedia and WordNet. RDF (Resource Description Framework) is a formalism to represent data on the web as a formation (translations) from the RDF datasets for integration in a MT system, we application areas, such as interoperability of linguistic annotations, As the interest of the Semantic Web and computational linguistics ontologies and their extensions to represent language resources as LLD Selected Challenges in Grammar-Based Text Generation from the App Store. However, because of their language bindings, these APIs predominantly favour One method of generating the RDF representation we require is an RDFizer. NET realm, with the aim of creating a skeletal C# application to return a list of

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