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INST6002: Web Technologies, Users and Management

  • web related technologies , user behaviour in such environmentsor
  • anisation , maintenance for both internal and external organisational purposes

Topics for Web Technologies

  • dealing with information overload and information overlook, unstructured vs. (semi-)structured data, information needs and knowledge management issues, user experience of information provision and seeking, business case for text mining, The text mining pipeline, information retrieval, information extraction and data mining, Fundamentals of natural language processing
  • linguistic foundations, levels of linguistic analysis., Approaches to text mining, rule-based vs. machine learning based vs. hybrid, generic vs. domain specific, domain adaptation, Dealing with real text, text types, document formats and conversion, character encodings, markup, low-level processes , Information extraction, term extraction, named entity recognition, relation extraction, fact and event extraction, partial analysis vs. full analysis, Data mining and visualisation of results from text mining, Evaluation of text mining systems
  • evaluation measures, role of evaluation challenges, usability evaluation, U-Compare initiative, Resources for text mining, annotated corpora, computational lexica, ontologies, computational grammars, design, construction and use issues, Issues in large scale processing of text, distributed text mining, scalable text mining systems, text mining applications and services, Knowledge Representation
  • Ontologies and Description Logic, Semantic Web in Depth, RDF and RDF Schema, OWL, Writing OWL ontologies with Protege, Semantic Web Methodologies and Design Patterns, SPARQL, Rules, Linked Data and Publishing on the Semantic Web, Semantic Web Vocabularies and Applications, Semantic Web vs Web2.0, Trust and Community

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