Talk:Fabian M. Suchanek, Gjergji Kasneci, Gerhard Weikum (2008)

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Contents 1 Glossary 1.1 Entities 1.1.1 Common entities 1.2 Classes 1.2.1 Instance 1.3 Relations 1.3.1 Type 1.4 Fact 1.4.1 Fact identifier 1.5 Litterals 1.6 Graph 2 Discussion 3 Taxonomy of Suchanek et al (2008) 3.1 classes 3.2 entities 3.3 relations 3.4 facts 3.5 taxonomy

[edit] Glossary

[edit] Entities

• they are abstract ontological objects
• cities, people, URL, numbers, dates, strings, other literlas

[edit] Common entities

• entities that are not facts, nor relations

[edit] Classes

• group of entities, but themselves also entities

[edit] Instance

• each entity is instance of a class

[edit] Relations

• labels between entities

[edit] Type

• relation that expresses that entities are instances of at least a class

[edit] Fact

• is a triple of entity, relation, entity

[edit] Fact identifier

• edge identifier

[edit] Litterals

• proper entities
• instances of literal classes
• data types
• number, string, time interval, quantity (litteral classes)

[edit] Graph

• set of objects (vertices, nodes, entities) connected by links (edges)
• binary relations

[edit] Discussion

• Do we need complex entities (eg. citations, theorems, algorithms, etc.), and macro-facts (eg. theories, sets of theorems, models, etc.)
• What are discourse entities such as introduction, related work, conclusion, appendix, etc.

[edit] Taxonomy of Suchanek et al (2008)

Examples of entities, classes, relations, facts, etc.

[edit] classes

• application, application field
• technology
• technique
• approach
• algorithm
• project
• model
• tool
• topic
• oragnization
• semantic web applications
• knowledge

[edit] entities

• ontology
• information extraction
• knowledge representation
• ontological background knowledge
• word sense disambiguation
• ontologycal knowledge structures
• data cleaning
• machine translation
• document classification
• query extension
• word sense disambiguation
• lexical knowledge
• question answering
• information retrieval
• record linkage (entity resolution)
• information integration
• Web search
• community management
• knowledge base
• Wikipedia
• WordNet

[edit] relations

• utilize
• play a role
• be a source of knowledge
• have goal
• aim at
• be suitable for
• be attractive for
• be successful
• have de advantage of
• be costly
• be of quality
• use
• comprise

[edit] facts

• semantic web applications utilize ontological background knowledge
• word sense disambiguation utilizes OBK
• ontologycal knowledge structures play a role in data cleaning
• ontologies boost performance of applications
• knowledge representation is a field of AI
• one approach uses information extraction technologies

[edit] taxonomy

• pattern matching TypeOf information extraction technology
• natural-language parsing TypeOf information extraction technology
• statistical learning TypeOf information extraction technology