Skip to main content
Advanced Search
Search Terms
Content Type

Exact Matches
Tag Searches
Date Options
Updated after
Updated before
Created after
Created before

Search Results

107 total results found

Public

Veřejné zdroje / Public resources

ÚR: Studijní příručky

From texts to structured data: Building knowledge graphs through Computer-Assisted Semantic Text Modelling (CASTEMO)

This book documents: - a data collection workflow of Computer-Assisted Semantic Text Modelling (CASTEMO); - the structure of CASTEMO knowledge graphs; - the research environment implementing this workflow - InkVisitor.

data collection
knowledge graphs
historical research
CAQDAS
CASTEMO
lexico-semantic networks

Resources for computational research

resources

ReliDocs?

Stručné představení miniwebu pro informační průvodce, které vznikají na Ústavu religionistiky na Filozofické fakultě (MUNI). A brief intro to the platform for resources and guidebooks produced at the Department for the Study of Religions, Faculty of Arts, M...

Jak na CEEPUS ve Vídni

Praktický průvodce programem CEEPUS

Průvodce návrhem výzkumného projektu

Autor: Milan Fujda Toto je velmi stručný průvodce návrhem výzkumného projektu, který by měl studujícím usnadnit nejen promýšlení samotného výzkumného problému při koncipování projektů diplomových prací, ale především pak rozvržení jeho popisu do různých čás...

výzkum
kvalitativní
výzkumný projekt
sociálněvědný kvalitativní
příručky
studijní
psaní
diplomové práce
metodologie
kvalitativní

Jak na informace na ÚR

Průvodce informačními zdroji na Ústavu religionistiky

Pro začátek studia

Informace k začátkům bakalářského studia na ÚR

Doktorské studium

Tipy k doktorskému studiu

Digitální pomocníci ke studiu

Příručka (převážně) počítačových tipů a triků k akademickému studiu

Data import

From texts to structured data: Building...

Relations

From texts to structured data: Building...

Some core semantic and ontological relations between entities are highlighted in the CASTEMO data model.

Properties

From texts to structured data: Building...

This chapter explains a vital kind of relation in the CASTEMO data model: properties, which serve to attach attributes to entities, and relate entities with one another.

Entities

From texts to structured data: Building...

This chapter describes the different entity types of the CASTEMO data model, and their recommended usage.

References

From texts to structured data: Building...

I. Před příjezdem

Jak na CEEPUS ve Vídni

II. Po příjezdu

Jak na CEEPUS ve Vídni

III. Závěr pobytu

Jak na CEEPUS ve Vídni

How best collect CASTEMO data?

From texts to structured data: Building...

Querying CASTEMO knowledge graphs

From texts to structured data: Building...

Now, time to get knowledge out of the knowledge graphs. This chapter categorizes some useful queries to validate your data, and start digging information from the CASTEMO knowledge graphs stored in RethinkDB.

InkVisitor installation on the server

From texts to structured data: Building...

This chapter is intended for your IT support. It describes how to deploy the InkVisitor application on a server so that you can start using it.

Bc

Pro začátek studia

Závěr doktorského studia

Doktorské studium

Jak na IS

Pro začátek studia

Tipy k předmětům 1. semestru

Pro začátek studia

Conclusion of the PhD study

Doktorské studium

Automatic English translation of the Czech guide "Závěr doktorského studia"

PhD Therapy

Doktorské studium

Doktorandské odpoledne

Doktorské studium

Pro uchazeče

Doktorské studium

Reading

Digitální pomocníci ke studiu

Properties overview

From texts to structured data: Building... Properties

Definition Property Property is the most fundamental and the most versatile relation in CASTEMO knowledge graphs which connects entities of different kinds. Any property has: an origin, i.e. the entity to which it is attached, a property type, and a pr...

Parsing instructions for the import of tabular data

From texts to structured data: Building... Data import

This doc describes the parsing/import instructions used in the google sheet tables meant to be imported to inkVisitor DDB1, which conforms to DDM (=DISSINET DATA MODEL). The instructions were mostly improvised in the conversations between DZ and TH, they chan...

Technology

ReliDocs?

Relidocs are based on Bookstack, https://www.bookstackapp.com/

Math and science

Resources for computational research

Brilliant.org Brilliant | Learn interactively Brilliant offers guided problem-solving based courses in math, science, and engineering, based on National Science Foundation research supporting active learning.[15] Additionally, Brilliant publishes challengin...

Relations overview

From texts to structured data: Building... Relations

 Some core semantic and ontological relations between entities are highlighted in the CASTEMO data model. Their reserved nature - in ways unavailable for specific Property Types, which depend on specific UUIDs - ensures their compatibility across CASTEMO resea...

List of abbreviations

From texts to structured data: Building...

Abbreviation Meaning A Action type B Living Being C Concept E Event G Group L Location O Object (i.e. physical thing) P Person R Resource S Statement T Territory prop Property ...

Synonym (SYN)

From texts to structured data: Building... Relations

The CASTEMO data model recommends a strong understanding of synonymy. For two lexemes to be related with the Synonym Relation, they need to have the same Superclass (if there are more superclasses, they need to share all of them). Also, if they are related to ...

Antonym (ANT)

From texts to structured data: Building... Relations

The CASTEMO data model recommends a strong understanding of antonymy, i.e. one which to some degree applies also to the Superclasses of both lexemes. Through Concepts used for Classification, antonymy helps to build contrasting sets of entities for analysis. ...

Action/Event Equivalent (AEE)

From texts to structured data: Building... Relations

The Action/Event Equivalent Relation (AEE) connects always one Action to one Concept, and it serves to translate between the world of verbs and the world of nouns. For instance, A "to baptize" would have the AEE C "baptism". Since any specific Event which hap...

Property Reciprocal (PRR)

From texts to structured data: Building... Relations

Property Reciprocal (PRR) is a Relation connecting two Concepts which can feature as a Property Type. In a Property, composed of Origin, Property Type, and Property Value, it defines what Property Type the Property Value would give back to Origin if the Proper...

Identification (IDE)

From texts to structured data: Building... Relations

Identification (IDE) serves to declare the identity between PLOGESTRB entities, both within an entity type (e.g. P Rocket Man - IDE - P Elton John) and across entity types (L the boat on which we got married - IDE - O this same boat that we then sold). Not un...

Subject/Actant1 Reciprocal (SAR)

From texts to structured data: Building... Relations

The Subject/Actant1 Reciprocal (SAR) Relation relates two Actions. It is a type of Implication, but one which goes in the reverse direction: from actant 1 to the subject. For instance, if P Peter - A accompanied - P Susan, then P Susan - A was accompanied - P ...

Actant semantics: Subject Semantics (SUS), Actant 1 Semantics (A1S), and Actant 2 Semantics (A2S)

From texts to structured data: Building... Relations

Subject Semantics (SUS), Actant 1 Semantics (A1S), and Actant 2 Semantics (A2S) are Relations each of which connects an Action to one or more Concepts describing semantically the role of the holder of the actant slot. E.g., A "to speak (to sb - about st/sb)" w...

Implication

From texts to structured data: Building... Relations

Implication (IMP) is a Relation which connects an Action to one or more other Actions. It denotes an action which, by implication, must have happened because it is logically implied by the original action. For instance, A travelled (with sb)  - IMP - A was in ...

Superclass (SCL)

From texts to structured data: Building... Relations

Superclass (SCL) is a semantic relation which relates an Action to one or more Actions, or a Concept to one or more Concepts. It denotes hypernym (genus proximum), i.e. the more generic conceptual class to which an Action or Concept belongs. Example: C apple ...

Superordinate Entity (SOE)

From texts to structured data: Building... Relations

Superordinate Entity (SOE) is a Relation which connects a subordinate entity to an entity in which it is fully contained. Example: L Milan - SOL - L Italy. In CASTEMO, only the direction from the subordinate to the superordinate entity is being stored. Howev...

Related (REL)

From texts to structured data: Building... Relations

Related (REL) is the least specific Relation which allows to relate entities of any type by way of association. Example: C tea - REL - C afternoon For more specific semantic relations, a relevant specific Relation or Property should be preferred.

Holonym (HOL)

From texts to structured data: Building... Relations

Holonym (HOL) Relation denotes the relation between a Concept representing a part of something to a Concept representing a whole. Example: C door of a house - HOL - C house. The reverse relation is called meronymy. In CASTEMO knowledge graphs, we only store...

Classification (CLA)

From texts to structured data: Building... Relations

Classification (CLA) is a Relation between a specific PLOGESTRB entity and the class (Concept) to which it belongs. Example: O this apple - CLA - C apple; O another apple - CLA - C apple. Classification is vital for querying the database: it allows to find s...

Co jsou ReliDocs, What is ReliDocs

ReliDocs?

Myšlenka ReliDocs jsou zamýšlené jako podpůrná publikační platforma sloužící "dokumentačním" potřebám Ústavu religionistiky ve všech jeho oblastech jeho činnosti - od kurikula až k vědeckým projektů.     Má správu uživatelů opřenou o MUNI Identitu, ...