Crosslingual%20Retrieval%20in%20an%20eLearning%20Environment - PowerPoint PPT Presentation

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Crosslingual%20Retrieval%20in%20an%20eLearning%20Environment

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Crosslingual Retrieval in an eLearning Environment. Cristina Vertan, Kiril Simov, ... Browses ontology. Entry point depends on the initial query. Selects concepts ... – PowerPoint PPT presentation

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Title: Crosslingual%20Retrieval%20in%20an%20eLearning%20Environment


1
Crosslingual Retrieval in an eLearning Environment
  • Cristina Vertan, Kiril Simov, Petya Osenova,
    Lothar Lemnitzer, Alex Killing, Diane Evans,
    Paola Monachesi
  • http//www.lt4el.eu/
  • Artificial Intelligence and Human-Oriented
    Computing
  • (September 10-13, 2007 - Roma, Italy)

2
Framework
  • EU-Project LT4eL Language Technology for
    eLearning (www.lt4el.eu) 12 Partners
  • Learning objects in 9 Languages
  • eLearning Test-System open source platform
    ILIAS (www.ilias.de/)
  • Domain Computer Science for non CS specialists
  • Services Keyword Extraction, Definition
    Detection, Semantic Search

3
Architecture (2)
User Profile
Place of multilinguality - real situation
Documents SCORM
Pseudo-Struct.
Basic XML
CONVERTOR 2
Documents SCORM
Pseudo-Struct
Documents HTML
Glossary
CONVERTOR 1
Metadata (Keywords) Ling. Annot XML
BG
EN
Documents User (PDF, DOC, HTML, SCORM,XML)
REPOSITORY
4
The Creation of LT4eL Ontology
  • Processing of the keywords in LOs
  • Formalization of the meanings definitions from
    Internet
  • Linking to an upper ontology (DOLCE)
  • Addition of new concepts
  • Addition of relations
  • Documentation
  • Lexicons in 9 languages

5
Connection with other Ontologies
DOLCE (Guarinoal.)
WordNet
LT4EL
6
Ontology Example
  • ltowlClass rdfabout"http//www.lt4el.eu/CSnCSWe
    bPage"gt
  • ltrdfscommentgtA document (file) connected to the
  • World Wide Web and viewable by anyone
    connected to
  • the internet who has a web browser.lt/rdfscomm
    entgt
  • ltrdfscommentgtHyper CSnCS
  • http//www.lt4el.eu/CSnCSTextFilelt/rdfs
    commentgt
  • ltrdfscommentgtEqual WN20 ENG20-05964213-nlt/rdf
    scommentgt
  • ltrdfscommentgtID id1757lt/rdfscommentgt
  • ltrdfssubClassOfgt
  • ltowlClass rdfabout"http//www.lt4el.eu/CSn
    CSTextFile"/gt
  • lt/rdfssubClassOfgt
  • lt/owlClassgt

7
Lexicon Entry
  • ltentry id"id60"gt
  • ltowlClass rdfabout"http//www.lt4el.eu/CSnCS
    BarWithButtons"gt
  • ltrdfssubClassOfgt
  • ltowlClass rdfabout"http//www.lt4el.eu/C
    SnCSWindow"/gt
  • lt/rdfssubClassOfgt
  • lt/owlClassgt
  • ltdefgtA horizontal or vertical bar as a part of
    a window,
  • that contains buttons, icons.lt/defgt
  • lttermg lang"nl"gt
  • ltterm shead"1"gtwerkbalklt/termgt
  • lttermgtbalklt/termgt
  • ltterm type"nonlex"gtbalk met knoppenlt/termgt
  • lttermgtmenubalklt/termgt
  • lt/termggt
  • lt/entrygt

8
Ontology and Multilingual Data
Ontology
Lexicons
Documents
DT
DT
DE
DE
EN
EN
9
Multilingual, Semantic Document Retrieval
  • Starting points
  • A multilingual document collection
  • An ontology including a domain ontology on the
    domain of the documents
  • Concept lexicalisations in various languages
  • Annotation of concepts in the documents

10
Goals of the Approach
  • Improved access to documents
  • Find docs that would not be found by simple text
    search
  • Multilinguality
  • One implementation for multiple languages
  • Crosslinguality
  • Retrieve documents in languages other than
    language of the query or ontology presentation

11
Outline of Search Procedure
  • The User
  • Submits a free text query
  • Sees document list
  • A list of documents is displayed with some meta
    information, for example
  • title length original language
  • keywords and concepts that are common to both the
    query and the document
  • other keywords and concepts that are related to
    the document but not to the query
  • Sees concepts for refining search
  • Concepts related to the search query ? starting
    point for browsing
  • No related concepts from search query ? root of
    ontology starting point

12
Outline of Search Procedure
  • Views documents
  • User looks into the documents from the list and
    estimates their relevance
  • Browses ontology
  • Entry point depends on the initial query
  • Selects concepts
  • Concepts are used for query refinement
  • Selects search option
  • The search option is about how to use the
    ontology fragments for search

13
Outline of Search Procedure
  • Sees new document list
  • A new list of documents is displayed, based only
    on ontological search
  • Sees updated concept browsing units
  • Concepts that are common to the found
    documentsExample Concept Report ? Some
    documents about academic writing ? Concept
    Publication
  • Repeats steps from step 5 (Browse ontology)
  • User selects another set of related concepts and
    submits it as the search key, etc

14
Integration in ILIAS
15
Conclusion and Future Work
  • We are ready to
  • Compare different searches over LOs
  • Tune parameters of the searches
  • Validate the user added value of the provides
    services
  • Add relations and extend the search
  • Provide context of the result from the search
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