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Learning Ontology Relations by Combining Corpus-Based Techniques and Reasoning on Data from Semantic Web Sources

ontology relations. It combines corpus-based techniques with reasoning on Semantic Web data. Corpus-based methods apply vector space similarity;

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Reasoning Web. Semantic Interoperability on the Web

theme of the school was Semantic Interoperability on the Web , which encompasses subjects such as data integration, open data management;

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Reasoning Web

). TheSchoolwashostedbythe University of Malta and was organized by the Network of Excellence REWERSE Reasoning on the Web with Rules and Semantics (http://rewerse;

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Reasoning Web. Semantic Technologies for Information Systems

focused on the use of semantic technologies to enhance data access on the Web. For this reason, courses presented a range of techniques and;

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An Ontology of Time

common sources of incomplete information for temporal reasoning, we have constructed an annotated corpus and applied machine learning techniques;

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Reasoning Web. Declarative Artificial Intelligence

various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The;

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Semantic Keyword-Based Search on Structured Data Sources

on Semantic Keyword-Based Search on Structured Data Sources, IKC 2017, held in Gdansk, Poland, in September 2017. The 13 revised full;

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Semantic Web Technologies

The Semantic Web combines the descriptive languages RDF (Resource Description Framework) and OWL (Web Ontology Language), with the data;

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Ontology-Based Information Retrieval for Healthcare Systems

groundbreaking book highlights the key advances in ontology-based information retrieval techniques being applied in the healthcare domain and covers the;

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Semantic Systems. The Power of AI and Knowledge Graphs

submissions. They cover topics such as: web semantics and linked (open) data; machine learning and deep learning techniques; semantic information;

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Intelligent Systems in Big Data, Semantic Web and Machine Learning

based on relevant conceptual and formal development. The coverage is wide, ranging from machine learning to the use of data on the Semantic Web;

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The Semantic Web ISWC 2015

The two-volume set LNCS 9366 and 9367 constitutes the refereed proceedings of the 14th International Semantic Web Conference, ISWC 2015;

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The Semantic Web ISWC 2015

The two-volume set LNCS 9366 and 9367 constitutes the refereed proceedings of the 14th International Semantic Web Conference, ISWC 2015;

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Description of Logic Framework to Synchronize Orm Model and Owl Langua

technology. Applying the full potential of semantic web faces some obstacles as in how to link information from different data sources. Since;

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Fuzzy Knowledge Management for the Semantic Web

, extraction of fuzzy description logics and ontologies from fuzzy data models, storage of fuzzy ontology knowledge bases in fuzzy databases, fuzzy;

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Fuzzy Knowledge Management for the Semantic Web

, extraction of fuzzy description logics and ontologies from fuzzy data models, storage of fuzzy ontology knowledge bases in fuzzy databases, fuzzy;

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Web Reasoning and Rule Systems

agents, reasoning, machine learning, knowledge extraction and IR technologies, large-scale data management and reasoning on the web of data, data;

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Web Reasoning and Rule Systems

semantic web; querying web data; semantic data management; common-sense reasoning on the web;

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Semantic Keyword-based Search on Structured Data Sources

cover techniques for keyword search, semantic data management, social Web and social media, information retrieval, benchmarking for search on;

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Semantic Technology

organized in topical sections on knowledge graphs; data management; question answering and NLP; ontology and reasoning; government open data; and;

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Foundations of Semantic Web Technologies

Semantic Web technologies standardized by the World Wide Web Consortium: RDF and SPARQL enable data exchange and querying, RDFS and OWL provide;

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Applied Semantic Web Technologies

integrates theory with case studies to illustrate the history, current state, and future direction of the semantic web. It maintains an emphasis on;

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Semantic Techniques for the Web

Reasoning on the Web (http://rewerse. net). REWERSE was funded by the European Commission and Switzerland within the 6th Framework Programme (FP6;

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Semantic Technology

into eight categories: ontology and reasoning, linked data, learning and discovery, rdf and sparql, ontological engineering, semantic social;

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Knowledge Management and Representation

, document management etc.), the emergence of Internet and Internet-based technologies (e-learning, semantic Web, content management, Yellow pages;

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The Semantic Web

data infrastructures, social and human aspects of the Semantic Web, and, machine learning.;

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Publishing and Using Cultural Heritage Linked Data on the Semantic Web

Semantic Web technologies. This book gives an overview on why, when, and how Linked (Open) Data and Semantic Web technologies can be employed;

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