Ontology guided financial knowledge extraction
from semi-structured information sources
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Web sites are usually semi-structured andtherefore very hard to query for information.Traditionally have keyword searches and wordcomparison been the way thesearch engines do the searching. They have nounderstanding of the real meaning of words and theirrelations in a context. More advanced extractionprocesses can be used to gainbetter results. Based on ontology we can defineinstances of words with mutual relations ininformation sources and use this as a guidance ofwhat we want to extract. The extraction itself isdone by natural language processing and regularexpression matching of words from ...
Web sites are usually semi-structured and
therefore very hard to query for information.
Traditionally have keyword searches and word
comparison been the way the
search engines do the searching. They have nounderstanding of the real meaning of words and their
relations in a context. More advanced extraction
processes can be used to gain
better results. Based on ontology we can define
instances of words with mutual relations in
information sources and use this as a guidance of
what we want to extract. The extraction itself is
done by natural language processing and regular
expression matching of words from this ontology and
the text from the information source. In my work a
financial ontology has been constructed and an
evaluation has been performed of how an ontology can
provide a better extraction process and give us a
result which is more accurate of what we search for
and therefore provides us with a result of more
knowledge.
therefore very hard to query for information.
Traditionally have keyword searches and word
comparison been the way the
search engines do the searching. They have nounderstanding of the real meaning of words and their
relations in a context. More advanced extraction
processes can be used to gain
better results. Based on ontology we can define
instances of words with mutual relations in
information sources and use this as a guidance of
what we want to extract. The extraction itself is
done by natural language processing and regular
expression matching of words from this ontology and
the text from the information source. In my work a
financial ontology has been constructed and an
evaluation has been performed of how an ontology can
provide a better extraction process and give us a
result which is more accurate of what we search for
and therefore provides us with a result of more
knowledge.
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