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Natural Language Querying of the Semantic Web

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Natural Language Querying of the Semantic Web. SRI International Information Science Institute. Beyond Single Question Single Source Answers. Most question answering systems to date have been limited to querying a single kind of source, a corpus of texts, for answers to a given question. - PowerPoint PPT Presentation
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June 12, 2003 AQUAINT 18 Month Meeting San Diego CA Natural Language Querying of the Semantic Web SRI International Information Science Institute
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Page 1: Natural Language Querying of the Semantic Web

June 12, 2003 AQUAINT 18 Month MeetingSan Diego CA

Natural Language Queryingof the

Semantic Web

SRI International

Information Science Institute

Page 2: Natural Language Querying of the Semantic Web

June 12, 2003 AQUAINT 18 Month MeetingSan Diego CA

Beyond Single QuestionSingle Source Answers

• Most question answering systems to date have been limited to querying a single kind of source, a corpus of texts, for answers to a given question.

• Most have been limited to answering single questions with single factual answers.

• Aim: to move beyond these limits Use of multiple (semi-)structured sources Information-gathering dialogues

Page 3: Natural Language Querying of the Semantic Web

June 12, 2003 AQUAINT 18 Month MeetingSan Diego CA

QUARK

• Natural language front end Gemini: Unification Grammar (CFG backbone)

• Mediated by powerful reasoning tool SNARK: Full FO Theorem Prover

• Powerful resource description and access capabilities OAA: Intelligent delegation-based middleware

• Visualization capabilities TerraVision: Terrain Viewer

Page 4: Natural Language Querying of the Semantic Web

June 12, 2003 AQUAINT 18 Month MeetingSan Diego CA

Multiple Sources

• Access to multiple knowledge sources ADL Gazetteer CIA World Factbook NASA data sources TextPro IE engine

Page 5: Natural Language Querying of the Semantic Web

June 12, 2003 AQUAINT 18 Month MeetingSan Diego CA

Goal: To Integrate DAML Search into QUARK

• Agent Semantic Communications Service (ASCS)

• Developed by Teknowledge.

• Searches the Web for DAML pages.

• Provides GUI for search.

• Provides inference capability aimed at broadening and relaxation of queries.

Page 6: Natural Language Querying of the Semantic Web

June 12, 2003 AQUAINT 18 Month MeetingSan Diego CA

The ASCS Search Page

Page 7: Natural Language Querying of the Semantic Web

June 12, 2003 AQUAINT 18 Month MeetingSan Diego CA

ASCS: A Use Case

pred: capital

arg1:

arg2: Syria

?x

Searches entireSemantic Web

Also conjunctive queries: population of capital of Syria

To find the capital of Syria, a user must input

Problem: Doesn’t support natural language input; using ASCS requires knowing some logic.

capital(?x,Syria)

Page 8: Natural Language Querying of the Semantic Web

June 12, 2003 AQUAINT 18 Month MeetingSan Diego CA

How to Use ASCS in QUARK

• Questions parsed by Gemini to yield logical form.• Logical form submitted to SNARK as conjecture.• Conjecture proved in application-domain theory.• Capabilities of ASCS and other sources advertised in

theory.• ASCS provided with OAA wrapper.• Resources invoked as appropriate by procedural

attachment.• Answer, as extracted from proof.

• Presented textually• Visualization tool invoked

Page 9: Natural Language Querying of the Semantic Web

June 12, 2003 AQUAINT 18 Month MeetingSan Diego CA

“Show the capitals of Islamic countries that border Iraq.”

Logical form produced by Gemini:

(and country (?x) islamic (?x) bordering-relation (?z)goal (?z, iraq) source (?z, ?x) capital-of (?u, ?x) show (?v) patient (?v, ?u))

Answer: ?v

Page 10: Natural Language Querying of the Semantic Web

June 12, 2003 AQUAINT 18 Month MeetingSan Diego CA

Conjecture decomposed by SNARK

To show a country is Islamic, use the axioms in the application-domain theory:

if religions (?country, Muslim, ?percent)

and ?percent > 50

then islamic (?country)

if (SunniMuslim ?x, then Muslim ?x)

A country that is more than 50 percent Muslim is Islamic.

A SunniMuslim is a Muslim.

Page 11: Natural Language Querying of the Semantic Web

June 12, 2003 AQUAINT 18 Month MeetingSan Diego CA

ASCS Reveals Basic Facts

• borders(Iraq, Syria)

borders(Iraq, Turkey), …..

• religions(Syria, SunniMuslim, 74)

religions(Syria, Christian, 10), …

• capital(Syria, Damascus)

Page 12: Natural Language Querying of the Semantic Web

June 12, 2003 AQUAINT 18 Month MeetingSan Diego CA

Other Agents Reveal other Facts

• Alexandria Digital Library Gazetteer:

place-to-latlong(Damascus, capital, Syria;

33.5, 36.3)

Page 13: Natural Language Querying of the Semantic Web

June 12, 2003 AQUAINT 18 Month MeetingSan Diego CA

Answer visualization by Terrain ViewerDamascus (capital),Syria; 33.5,36.3

Page 14: Natural Language Querying of the Semantic Web

June 12, 2003 AQUAINT 18 Month MeetingSan Diego CA

Future Plans

• To move beyond single, one-off questions to scenario-based information-seeking dialogues.

• Scenario description presents a sketch of a situation/problem; much is left unsaid.

• To be filled out by a combination of application-domain theories and clarification/expansion dialogues.

• Ground further question-answering on the resulting situation model.


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