Delve into the depths of Semantic Web technologies with a focus on RDFa, GRDDL, and POWDER through the guidance of Dr. Nicholas Gibbins. Learn about embedding Semantic Web data, republishing embedded data, and the usage of GRDDL for XML transformations.

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Explore the semantic properties of English verbs through various examples and classifications. Discover how verbs like hit, kiss, and touch share common properties, while verbs like make, create, imagine, and build belong to different classes based on their semantic relationships. Delve into the gra

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Semantic Web technologies such as RDF, RDFS, OWL, and SPARQL form the basis of a web of data designed for machine understanding. Knowledge representation languages play a crucial role in AI, with Semantic Web languages like OWL leading the current generation. Contrasting database and knowledge base

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Using a Dynamic Semantic Parser approach, the research focuses on Sequential Question Answering (SQA) by structuring queries based on semantic parses of tables as single-table databases. The goal is to generate structured queries for questions by defining formal query languages and actions for trans

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This detailed process outlines the steps involved in preparing, building, and debugging a back-end programming model known as MFMSA_BIH. It covers activities such as data preparation, model building, equation estimation, assumption making, model compilation, and front-end adjustment. The iterative p

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Explore the world of Linked Data from the perspective of Nicholas Car, a data architect and member of Aust.gov Linked Data WG. Uncover the significance of Linked Data, its role in evolving the web into a global data space, and the Australian Govt. Linked Data Working Group's initiatives. Dive into i

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Investigating the impact of semantic knowledge and similarity on verbal short-term memory, this study delves into how imageability of words influences recall. Key findings highlight the influence of semantic relatedness and the imageability effect on memory retention, shedding light on the mechanism

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Polarity-Inducing Latent Semantic Analysis (PILSA) introduces a novel vector space model that distinguishes antonyms from synonyms. By encoding polarity information, synonyms cluster closely while antonyms are positioned at opposite ends of a unit sphere. Existing models struggle with finer distinct

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Homomorphic encryption allows computation on encrypted data without revealing the underlying information. It enables secure delegation of data processing to a server while maintaining privacy. The process involves key generation, encryption, decryption, and evaluation of functions on encrypted data.

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This research delves into multimodal semantic indexing methods for image retrieval, focusing on extending Latent Semantic Indexing (LSI) and probabilistic LSI to a multi-modal setting. Contributions include the refinement of graph models and partitioning algorithms to enhance image retrieval from tr

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Presentation by Fred van Blommestein on the EN16931-1 semantic data model of core elements in electronic invoicing, covering invoice processes, core invoice design, semantic model details, business rules, and invoicing principles. The model includes 160 elements in 33 groups, with mandatory elements

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The SEMICOLON II project aimed to enhance eGov solutions by utilizing Linked Open Data principles to open up public registers and create semantic technologies. The project spanned from 2007 to 2013 with a budget of approximately $15 million, focusing on core national master data maintenance and moti

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Aphasia often involves semantic breakdown, and Semantic Feature Analysis (SFA) is a foundational technique for various treatments addressing semantic impairments. This presentation explores the effectiveness of SFA in improving naming, generalization to spontaneous speech, and treatment goals beyond

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Explore the core concepts in Information Retrieval (IR) including lexical gaps like 'say' vs. 'said', semantic gaps, ranking models vs. retrieval methods, special data structures for efficient access, and algorithms for finding relevant documents. Understand the differences between IR and databases,

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Explore the fundamentals of Semantic Web modeling through OWL and ontologies, covering topics like property chain axioms, equality vs. inequality in URIs, sets of distinct individuals, and all values from constraints. Learn how these concepts shape the representation and relationships within linked

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Explore the world of Natural Language Processing (NLP) through images and explanations, covering topics such as text similarity, dimensionality reduction, semantic matching, and the challenges with vector similarity. Dive into the concept space, TOEFL synonyms, SAT analogies, and the importance of r

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Explore the functionalities and benefits of using Libadalang for Ada programming, including querying and altering data, incremental error recovery, syntax analysis, semantic tolerance, and more. Discover how this tool enables easy binding generation to multiple languages and ecosystems, facilitating

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Resource Description Framework (RDF) is a key data model for the Semantic Web, providing a standard way to represent knowledge through subject-predicate-object triples. RDF serves as the foundation for various knowledge representation languages and ontology tools on the web. Through RDF, relationshi

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The workshop on integrated reporting held on 1st December 2022 focused on enhancing proposals, planning JBRC setup, data dictionary governance, semantic integration, and more. The roadmap for 2023 includes topics like data granularity, governance, and continuous work on semantic and syntactic layers

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Explore the study on modeling semantic relations expressed by prepositions conducted by Vivek Srikumar and Dan Roth from the University of Illinois, Urbana-Champaign. The research delves into prepositions triggering relations, ontology of preposition relations, examples of preposition relations, pre

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Diverse types of question answering approaches include factoid querying, compositional querying of structured databases/knowledge graphs, reading comprehension, and visual question answering. Limitations of factoid question answering are also discussed, highlighting the need for specific queries and

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This chapter delves into semantic issues in translation, aiming to assist students in annotating their translations from a semantic viewpoint. It emphasizes using semantic information to aid in translating data accurately while maintaining communicative effectiveness. The story discussed highlights

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This presentation delves into the semantic classification of prepositions in the BulTreeBank WordNet, focusing on the incorporation of prepositions, closed-class words, and the benefits for neural model building in Bulgarian language processing. The motivation behind the study, challenges posed by p

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Semantic Tool for the Protection of Personal Information Act is a project led by Yahlieel Jafta, aiming to establish a knowledge base using ontology to assist individuals and organizations in interpreting the Act. The project focuses on the importance of ontologies in extending knowledge and enablin

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An exploration of how semantic technologies facilitate data management, knowledge extraction, and understanding in the realm of big data. Topics covered include semantic graphs, content information extraction, and the impact of semantic models on enhancing data value and relationships. The importanc

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Explore the critical aspects of semantic interoperability in biobanking, highlighting the need for formal ontologies, comprehensive annotations, and model of meaning data. The (Generalized) Biomedical Retrieval Scenario underscores the importance of effective resource retrieval based on content-base

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Delve into the fascinating realm of binary representation and semantic approaches in data and programs through a series of discussions and examples. Topics include encoding/decoding relevance, tamper-proof bytecode formats, incorporating semantic info for compact encodings, and playing guess-who gam

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Delve into the realm of neural semantic parsing with a focus on data recombination techniques, traditional parsers, and the shift towards domain-general models. Explore the application of sequence-to-sequence models and attention-based neural frameworks in semantic parsing tasks. Discover the evolvi

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In this detailed exploration of RDF Schema, Dr. Nicholas Gibbins covers topics such as defining classes and properties, subclass relationships, semantic implications, reflexive properties, type distribution, and property definitions in RDF. Learn about the essential aspects of RDF Schema and its rol

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