Literature reading notes (d)

2016 AAAI_Ontology Instance Linking--Towards Interlinked Knowledge Graphs笔记整理

 

 

First, the paper organize your thoughts flow

1.1 Related research papers

  1. NLP entity in question refers to the total
  2. Centralized data deduplication
  3. A plurality of different identifiers (entity instance) points to a problem with the entity
  4. While producing equivalence relation (link) between instances of different entities in different data sets and the relationship between the generated independent art remains
  5. Generating equivalence relations existing methods of testing and classification

1.2 thesis problem

 

Papers problem-solving process 1.3

  1. Semantic Web was first proposed entity co-reference between the problem occurred in the entity instance between free text and entity instances or.
  2. Then proposed entity Semantic Web refers to the total classification method.
  3. Link Entity equivalence relationship based on string matching: labeled, such as by calculating a similarity between the example (triplets) of. For instance between high similarity score link.
  4. The method of string matching logic is bound: first by some basic properties of the owl (owl: theSameAs; owl: InverseFunctionalProperty etc.) configuration refers to a total initial set of examples, and examples of such discrimination whether the initial concentration of co refers. However, due to over-reliance on the relationship owl
  5. Artificial means were all instances of the package label
  6. Examples of large-scale co-reference system: the use of supervised learning is divided into blocks so as to solve the problem of large-scale example of link data sets
  7. Evaluation Index: precision, recall and F1, Fcs;

1.4 Experimental methods used paper

Wherein, t represents a threshold value, N, and M represents the size of matching two examples set

  1. Test data set: BTC data set, OAEI people and restaurant on a data set
  2. For example coreferential be a result of a certain modification of the original instance and obtained, all the systems are efficient and accurate methods to identify and connect, but many modifications to be obtained means a total instance, precision, recall rate, Fl It has declined.
  3. DisNGram (Song and He fl in 2011) method in the comparison process, better performance
  4. Examples of co-integrated system refers, not only between the detecting means co examples, but an example of one type of research references are examples of how the results will affect other
  5. Tag determines how missing data processing (extended range tag attributes, i.e., the use of other attributes as tag)

The final evaluation of the results of experiments 1.5

1.6 follow-up paper

Second, the techniques and methods used in the paper

  1. Owl language
  2. DisNGram
  3. Use OAEI, BTC, SWAT datasets

Third, we recommended reading references

[Bizer, Heath, and Berners-Lee 2009]

[DisNGram (Song and Heflin 2011)]

 

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Origin www.cnblogs.com/hwx1997/p/12444092.html