The 10th annual WTLab Workshop

The 10th annual WTLab Workshop

The 10th annual workshop of WTlab of Ferdowsi, University of Mashhad, simultaneous with  9th International Conference on Computer and Knowledge Engineering (ICCKE)  will be held on November 2nd and 3rd. 

 Phone: 05138806163

 Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

To register  click here. (registration is open until november 1st)

Attention: The workshop will be held at the decided time   virtually   , Also  certification of attendance  is given to the audience by the university, thus, please be prices about address when you are registering.



Multi Agent Programming


Abstract

In recent years, the use of cognitive models for designing and developing agents to simulate real scenarios has gained the attention of many researchers and programmers. The main benefit of these models is that their logic is close and similar to human’s problem-solving methods. One of the recommended cognitive models is the belief-desire-intension model. In this workshop, in addition to discussing this model, we introduce The Jadex tool, which supports this model. In the end, we will design a problem using this model and then will solve it by programming in Jadex.
In the second part of the workshop, we will introduce a modeling technique to analyze complicated problems. Using modeling, we can significantly reduce the costs of testing in a real environment. There are many software that are developed with the help of intelligent agents to help with simulation and solving problems. In this workshop, we will discuss the functions and features of Netlogo. This part of the workshop is about getting to know the main components of Netlogo and the presentation of some basic examples.


Headlines

Introduction to BDI cognitive model
Introduction to Jadex and problem solving
Principles of modeling in Netlogo


Research Area


Providers


Present Type

Virtual


Holding Time

Date:November the 2nd
Time:8 To 12


Duration

4 hours


Files

Natural Language Processing


Abstract

The main effort in NLP is to mechanize the process of understanding the concept presented by a natural language. With computer technology entering our lives, language and common conversation processing are two of the tasks that have attracted the attention of many scientists. The main goal in NLP is to create computational theories of language, using algorithms and data structure available in computer science. To perform many processes on languages such as translation, summarization, spell correction, etc. automatically, we need some tools to preprocess and prepare the text.
Nowadays there is a huge volume of textual data on the web. To use them some processing needs to be done so that the knowledge within them can be extracted. Processing information can be done in three levels, lexical, semantic and syntactic. In this workshop, we will talk about programming for these three types of processing.


Headlines

Headlines for the first part of the workshop
Introductory concepts
A review on NLP applications
Levels of NLP
A glance over NLP tools in the Persian language
NLP activists in Iran
Developed and available tools for Persian NLP
Some example of Persian NLP tools’ usage
The challenges of Persian NLP and the limitations of this field in Iran
Headlines for the second part of the workshop
A summarized review of theoretical NLP concepts (lexical, semantic, syntactic)
NLP programming for lexical text processing using Stanford library
NLP programming for syntactical text processing (parser and co-reference) using Stanford library
Programming method to connect to link extraction tools such as DBpedia, Spotlight, and TAGme
Programming method to connect to and extract from Wordnet
Programming method to perform a query on linked cloud data using previous processes




Present Type

Virtual


Holding Time

Date:November the 2nd
Time:14 To 18


Duration

4 hours


Files

Process Mining


Abstract

Process mining is a new research field that has gained a lot of attention in recent years. This field is a combination of computational intelligence, data mining, modeling and analyzing processes. The purpose of process mining is to discover, monitor and improve real processes using the extracted knowledge from stored data in available information systems. It can be utilized in industries, banks, insurances, hospitals, municipality, university, etc. in this workshop we will introduce process mining, its challenges, similarity detection methods and applications of process mining and will talk about the tools that can be used in this field.


Headlines

Introduction to process mining
Challenges of process mining
Applications of process mining
Introduction to process mining tools


Research Area


Providers

  • Fatemeh Khojasteh
  • Jalal Sakhdari

Present Type

Virtual


Holding Time

Date:November the 3th
Time:8 To 12


Duration

4 hours


Files

Social Network Analysis


Abstract

Nowadays many people use the features in various social networks as one of the most popular communication tools to communicate with each other and share news or their subjects of interest. The huge volume of data of users’ behavior and interaction with each other has acted as encouragement for researchers to discover knowledge. The information in social networks can be categorized into three: textual data, linked data and time data. Since more of the data generated by the users are text, textual data plays an important role in discovering knowledge in social networks. The purpose of this workshop is to introduce social networks and the way we can use different information in them to solve real-world problems. Also, a variety of tools to analyze this information and interpret the output will be introduced in this workshop.


Headlines

The role of social networks in application
The challenges of social networks’ data processing and their solutions
Hot research fields of social networks
A review on social network analysis tools
Introduction to Pajek
Introduction to IGraph
Introduction to NetworkX
Centrality
Leader node detection in social network
Bridge node detection in social network
Influential spreader node (effective in message propagation) detection in social network
Finding K nearest neighbor for a node
Finding the shortest path between nodes in a graph
Clustering and community detection in graph
The D3 tool for graph presentation



Providers


Present Type

Virtual


Holding Time

Date:November the 3th
Time:14 To 18


Duration

4 hours


Files

6 6