Knowledge-Based NLP and the Semantic Web

Sergei NirenburgInstitute for Language and Information

TechnologiesUniversity of Maryland Baltimore County

Workshop on the Semantic Web,Newark, NJ

October 24, 2002

User types in question

Processing Stages are highlighted

Results appear as they become available

Final answer presented as links to the facts

Ontological-Semantic Analysis

Fact DB

Processors

Knowledge

Text MeaningRepresentation(TMR)

Ontology

LexiconsGrammars

Sources

Text Traffic

Query

Ontological-Semantic Generation

Response

FACT DATABASE: The “Asian-Nation” Instance: “Turkey”

LEXICON: Chinese lexical entry mapped to concept “EXIT”

Depth of Coverage

Breadth of Coverage

Language Dependent?

Application- Oriented?

Sensus Shallow Broad Yes/No Yes Wordnet Shallow Broad Yes No EuroWN Shallow Broad Yes/No No CYC Deep Medium/

Broad? No No

Ontosem Deep Medium No Yes

Shallow Comparison of Some Knowledge Bases in NLPThat Are Often Called Ontologies

Knowledge-Based NLP and the Semantic Web

or:Are You Being Served?

Sergei NirenburgInstitute for Language and Information Technologies

University of Maryland Baltimore County

Workshop on the Semantic Web,Newark, NJ

October 24, 2002