Slides of the second paper on the ULiS project, availiable at http://maxime-lefrancois.info/Publications
We are interested in bridging the world of natural language and the world of the semantic web in particular to support multilingual access to the web of data. In this paper we introduce the ULiS project, that aims at designing a pivot-based NLP technique called Universal Linguistic System, 100% using the semantic web formalisms, and being compliant with the Meaning-Text theory. Through the ULiS, a user could interact with an interlingual knowledge base (IKB) in controlled natural language. Linguistic resources themselves are part of a specific IKB: The Universal Lexical Knowledge base (ULK), so that actors may enhance their controlled natural language, through requests in controlled natural language. We describe a basic interaction scenario at the system level, and provide an overview of the architecture of ULiS. We then introduce the core of the ULiS: the interlingual lexical ontology (ILexicOn), in which each interlingual lexical unit class (ILUc) supports the projection of its semantic decomposition on itself. We validate our model with a standalone ILexicOn, and introduce and explain a concise human-readable notation for it.
Tendências em Aplicações Sociais : ResultsOn Day 2009 - inclui #apagao factsManoel Lemos
Palestra que preparei para o Results On Day de Social Media (em novembro). A palestra aborda várias tendências em Social Apps e inclui uma prévia de um estudo que estou preparando sobre o fluxo de informações no Twitter durante o evento do apagão do dia 10 de Novembro de 2009.
Tendências em Aplicações Sociais : ResultsOn Day 2009 - inclui #apagao factsManoel Lemos
Palestra que preparei para o Results On Day de Social Media (em novembro). A palestra aborda várias tendências em Social Apps e inclui uma prévia de um estudo que estou preparando sobre o fluxo de informações no Twitter durante o evento do apagão do dia 10 de Novembro de 2009.
Nuomos sutarčų bruožų pristatymas. Nuomos sutarties objekto, subjekto jų teisių ir pareigų išskyrimas. Nuomos sutarties pasibaigimo, vykdymo ir nutraukimo ypatybių analizavimas.
Logic and Reasoning in the Semantic Web (part I –RDF/RDFS)Fulvio Corno
An introduction to RDF/RDFS semantics and on RDF-based reasoning (entailment). The material is mostly taken from the Semantic Web Recommendations. Slides for the PhD Course on Semantic Web (http://elite.polito.it/).
Logic and Reasoning in the Semantic WebFulvio Corno
An introduction to the semantics of RDF and OWL-DL. Inference, Closure, Search. The Pellet reasoner. Slides for the PhD Course on Semantic Web (http://elite.polito.it/).
Machine Learning Methods for Analysing and Linking RDF DataJens Lehmann
Invited Talk at the 8th International Conference on Scalable Uncertainty Management (SUM)
The talk outlines applications of supervised structured machine learning and presents a specific refinement operator based approach for RDF/OWL. It also outlines how similar ideas can be used in other (formal) languages, in particular link specifications.
This paper describes BABAR, a knowledge extraction and representation system, completely implemented in CLOS, that is primarily geared towards organizing and reasoning about knowledge extracted from the Wikipedia Website. The system combines natural language processing techniques, knowledge representation paradigms and machine learning algorithms. BABAR is currently an ongoing independent research project that when sufficiently mature, may provide various commercial opportunities.
BABAR uses natural language processing to parse both page name and page contents. It automatically generates Wikipedia topic taxonomies thus providing a model for organizing the approximately 4,000,000 existing Wikipedia pages. It uses similarity metrics to establish concept relevancy and clustering algorithms to group topics based on semantic relevancy. Novel algorithms are presented that combine approaches from the areas of machine learning and recommender systems. The system also generates a knowledge hypergraph which will ultimately be used in conjunction with an automated reasoner to answer questions about particular topics.
Nuomos sutarčų bruožų pristatymas. Nuomos sutarties objekto, subjekto jų teisių ir pareigų išskyrimas. Nuomos sutarties pasibaigimo, vykdymo ir nutraukimo ypatybių analizavimas.
Logic and Reasoning in the Semantic Web (part I –RDF/RDFS)Fulvio Corno
An introduction to RDF/RDFS semantics and on RDF-based reasoning (entailment). The material is mostly taken from the Semantic Web Recommendations. Slides for the PhD Course on Semantic Web (http://elite.polito.it/).
Logic and Reasoning in the Semantic WebFulvio Corno
An introduction to the semantics of RDF and OWL-DL. Inference, Closure, Search. The Pellet reasoner. Slides for the PhD Course on Semantic Web (http://elite.polito.it/).
Machine Learning Methods for Analysing and Linking RDF DataJens Lehmann
Invited Talk at the 8th International Conference on Scalable Uncertainty Management (SUM)
The talk outlines applications of supervised structured machine learning and presents a specific refinement operator based approach for RDF/OWL. It also outlines how similar ideas can be used in other (formal) languages, in particular link specifications.
This paper describes BABAR, a knowledge extraction and representation system, completely implemented in CLOS, that is primarily geared towards organizing and reasoning about knowledge extracted from the Wikipedia Website. The system combines natural language processing techniques, knowledge representation paradigms and machine learning algorithms. BABAR is currently an ongoing independent research project that when sufficiently mature, may provide various commercial opportunities.
BABAR uses natural language processing to parse both page name and page contents. It automatically generates Wikipedia topic taxonomies thus providing a model for organizing the approximately 4,000,000 existing Wikipedia pages. It uses similarity metrics to establish concept relevancy and clustering algorithms to group topics based on semantic relevancy. Novel algorithms are presented that combine approaches from the areas of machine learning and recommender systems. The system also generates a knowledge hypergraph which will ultimately be used in conjunction with an automated reasoner to answer questions about particular topics.
presentation of papers
Maxime Lefrançois, Romain Gugert, Fabien Gandon et al. (2013) Application of the Unit Graphs Framework to Lexicographic Definitions in the RELIEF project. In Proceedings of the 6th International Conference on Meaning-Text Theory (MTT'2013).
and
Maxime Lefrançois, Fabien Gandon (2013) The Unit Graphs Framework: A graph-based Knowledge Representation Formalism designed for the Meaning-Text Theory. In Proceedings of the 6th International Conference on Meaning-Text Theory (MTT'2013).
SPARQL-Generate - query and generate both RDF and text
Generate RDF or text from web documents in XML, JSON, CSV, GeoJSON, HTML, CBOR, plain text with regular expressions.
Generate RDF or text streams from large CSV documents, MQTT or WebSocket streams, repeated HTTP Get operations.
Directly generate HDT as the output of big transformations.
Use it as partial STTL and SPARQL Function implementations.
Extend it to support new data sources and formats.
SPARQL-Generate is an extension of SPARQL 1.1 for querying not only RDF datasets but also documents in arbitrary formats.
It offers a simple and expressive template-based option to generate RDF Graphs or text, from documents and different streams. It presents the following advantages:
Anyone familiar with SPARQL can easily learn SPARQL-Generate;
Learning SPARQL-Generate helps you learning SPARQL;
SPARQL-Generate leverages the expressivity of SPARQL 1.1: Aggregates, Solution Sequences and Modifiers, SPARQL functions and their extension mechanism.
It integrates seamlessly with existing standards for consuming Semantic Web data, such as SPARQL or Semantic Web programming frameworks.
Presentation made for the event "Digital transformation in France and Germany: Consequences for industry, society & higher education" organized by the French-German University in cooperation with Institut Mines-Télécom https://www.dfh-ufa.org/fr/digital-transformation-in-france-and-germany/
Overview of the SPARQL-Generate language and latest developmentsMaxime Lefrançois
SPARQL-Generate is an extension of SPARQL 1.1 for querying not only RDF datasets but also documents in arbitrary formats. The solution bindings can then be used to output RDF (SPARQL-Generate) or text (SPARQL-Template)
Anyone familiar with SPARQL can easily learn SPARQL-Generate; Learning SPARQL-Generate helps you learning SPARQL.
The open-source implementation (Apache 2 license) is based on Apache Jena and can be used to execute transformations from a combination of RDF and any kind of documents in XML, JSON, CSV, HTML, GeoJSON, CBOR, streams of messages using WebSocket or MQTT... (easily extensible)
Recent extensions and improvement include:
- heavy refactoring to support parallelization
- more expressive iterators and functions
- simple generation of RDF lists
- support of aggregates
- generation of HDT (thanks Ana for the use case)
- partial implementation of STTL for the generation of Text (https://ns.inria.fr/sparql-template/)
- partial implementation of LDScript (http://ns.inria.fr/sparql-extension/)
- integration of all these types of rules to decouple or compose queries, e.g.:
- call a SPARQL-Generate query in the SPARQL FROM clause
- plug a SPARQL-Generate or a SPARQL-Template query to the output of a SPARQL-
Select function
- a Sublime Text package for local development
Ph.D. Defense: Représentation des connaissances sémantiques lexicales de la T...Maxime Lefrançois
slides of Ph.D. defense:
"Meaning-Text Theory Lexical Semantic Knowledge Representation : Conceptualization, Representation, and Operationalization of Lexicographic Definitions"
Maxime Lefrançois (2014) Représentation des connaissances sémantiques lexicales de la Théorie Sens-Texte : Conceptualisation, représentation, et opérationnalisation des définitions lexicographiques.
Représentation des connaissances du DEC: Concepts fondamentaux du formalisme ...Maxime Lefrançois
Présenté lors de la conférence RECITAL'13,
http://maxime-lefrancois.info/Publications
Dans cet article nous nous intéressons au choix d'un formalisme de représentation des connaissances qui nous permette de représenter, manipuler, interroger et raisonner sur des connaissances linguistiques du Dictionnaire Explicatif et Combinatoire (DEC) de la Théorie Sens-Texte. Nous montrons que ni les formalismes du web sémantique ni le formalisme des Graphes conceptuels n'est adapté pour cela, et justifions l'introduction d'un nouveau formalisme dit des Graphes d'Unités. Nous introduisons la hiérarchie des Types d'Unités au cœur du formalisme, et présentons les Graphes d'Unités ainsi que la manière dont on peut les utiliser pour représenter certains aspects du DEC.
ECD Knowledge Representation: Fundamental Concepts of the Unit Graphs Framework
In this paper we are interested in the choice of a knowledge representation formalism that enables the representation, manipulation, query, and reasoning over linguistic knowledge of the Explanatory and Combinatorial Dictionary (ECD) of the Meaning-Text Theory. We show that neither the semantic web formalisms nor the Conceptual Graphs Formalism suit our needs, and justify the introduction of a new formalism denoted Unit Graphs. We introduce the core of this formalism which is the Unit Types hierarchy, and present Unit Graphs and how one may use them to represent aspects of the ECD.
Slides of the first paper on the ULiS project, availiable at http://maxime-lefrancois.info/Publications
We are interested in bridging the world of natural language and the world of the semantic web in particular to support natural multilingual access to the web of data. In this paper we introduce a new type of lexical ontology called interlingual lexical ontology (ILexicOn), which uses semantic web formalisms to make each interlingual lexical unit class (ILUc) support the projection of its semantic decomposition on itself. After a short overview of existing lexical ontologies, we briefly introduce the semantic web formalisms we use. We then present the three layered architecture of our approach: i) the interlingual lexical metaontology (ILexiMOn); ii) the ILexicOn where ILUcs are formally defined; iii) the data layer. We illustrate our approach with a standalone ILexicOn, and introduce and explain a concise human-readable notation to represent ILexicOns. Finally, we show how semantic web formalisms enable the projection of a semantic decomposition on the decomposed ILUc.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Instructions for Submissions thorugh G- Classroom.pptx
LefrancoisGandon@MSW11: ULiS
1. ULiS: An Expert System on Linguistics
to Support Multilingual Management
of Interlingual Semantic Web Knowledge bases
Maxime Lefrançois & Fabien Gandon
Edelweiss – INRIA Sophia-Antipolis – France
{Maxime.Lefrancois|Fabien.Gandon}@inria.fr
MSW 2011
2. 3000 < natural languages < 7000 >31 billion RDF triples
295 data sets
Interlinked by >503 million RDF links
?
multilingual access to the web of data
The ULiS project
Lefrançois & Gandon, ULiS. MSW 2011 - 2
3. OUTLINE
The Meaning-Text Theory
The ULiS project: multilingual access to web of data
Proposal 1:
An architecture that unlocks motivating scenarios
The ILexicOn : defining interlingual lexical units
Proposal 2:
A formal way to represent lexicographic definitions
Lefrançois & Gandon, ULiS. MSW 2011 - 3
5. The Meaning-Text Theory
A theoretical linguistic framework to
construct models of natural language
Mel’čuk et. al., late 70’s > today
Lefrançois & Gandon, ULiS. MSW 2011 - 5
6. The Meaning-Text Theory
Systems of explicit rules
that express correspondences
between meaning and text
SemRs
7 levels of linguistic representation
For a set of synonymous utterances DSynRs
SSynRs
DMorphRs
SMorphRs
DPhonRs
SPhonRs
Lefrançois & Gandon, ULiS. MSW 2011 - 6
7. The Meaning-Text Theory
The masterpiece:
The Explanatory Combinatorial Dictionary
Meta- Ontology Data
SemRs
Explanatory
Combinatorial
Dictionary DSynRs
Description of the SSynRs
Explanatory
Combinatorial Explantory: DMorphRs
Dictionary Formal semantic explanations
SMorphRs
Combinatorial: DPhonRs
Lexical combinations
SPhonRs
Lefrançois & Gandon, ULiS. MSW 2011 - 7
8. Structure of the ECD entry
Semantic zone:
(formal?) (text or SemR?) lexical definition of lexical units
Semantic actants: arguments of the semantic predicate
denotational vs. connotational semantic elements (ex: EN hot air, FR wind, RU water).
Phonological/Graphematic zone:
orthograph + prosody
The cooccurrence zone
Lefrançois & Gandon, ULiS. MSW 2011 - 8
9. Structure of the ECD entry
- The cooccurrence zone
Morphological sub-zone:
inflections, derivations.
Syntactic sub-zone:
Government pattern
Correspondance semantic – syntax (based on Dependency grammars)
ways to express a semantic predicate in the language
How the lexical unit participates in specific constructions as a dependent
Lexical sub-zone
semantic derivations and collocations
Stylistic sub-zone
Usage labels
Pragmatic sub-zone
real-life situations where expressions are appropriate.
Lefrançois & Gandon, ULiS. MSW 2011 - 9
10. Structure of the ECD entry
- Examples of lexical functions
lexical functions :
paradigmatic
Syn(telephoneV) = phoneV
Anti
Conv21(preced) = follow
Gener(republic) = state
Figur(rain) = curtain (a curtain of rain)
S0 (analyse) = analysis
A0(city) = urban
V0(analysis) = analyse
Adv0(slow) = slowly
S1(teach) = teacher ; S2(teach) = subject ; S3(teach) = pupil;
… 19 in total
Lefrançois & Gandon, ULiS. MSW 2011 - 10
11. Structure of the ECD entry
- Examples of lexical functions
lexical functions :
syntagmatic
Magn(laughV) = one’s head off
Bon(service) = first-class
Locin(height) = at [a height of…]
Oper1(supportN) = [to] lend [~ to N]
Oper2(supportN) = [to] receive [~ to N]
Func1(blownN) = comes [from ~]
… 34 in total
+ non-standard lexical functions
WithNoSugar(coffee) = black
Lefrançois & Gandon, ULiS. MSW 2011 - 11
12. 2. The ULiS project:
Multilingual access to the web of data
?
Lefrançois & Gandon, ULiS. MSW 2011
14. The ULiS project
a Universal Linguistic System
Interlanguage
Convert
Deconvert
Lefrançois & Gandon, ULiS. MSW 2011 - 14
15. The ULiS project
a Universal Linguistic System
to redesign
Pivot-based NLP
technique
100% using
ULiS
Semantic Web
formalisms
Meaning-Text
Theory
compliant with
Lefrançois & Gandon, ULiS. MSW 2011 - 15
17. The ULiS project - scenario
- Machine Translation
-
-
The RDF-World
RDF interlingual
representations
IR RDF
RDF situational John01 kill@past Mary01. John01 tuer@past Mary01.
representations SR RDF
John01 kill@past Mary01.
SR RDF
John01 tuer@past Mary01
John EN Mary
killed John FR Mary
a tué
InputTEXT
John killed Mary. John a tué TEXT
Output1 Mary.
Lefrançois & Gandon, ULiS. MSW 2011 - 17
18. The ULiS project - scenario
- Machine Translation
-
-
The RDF-World
RDF interlingual
representations
RDF situational John01 kill@past Mary01. John01 tuer@past Mary01.
representations John01 kill@past Mary01. John01 tuer@past Mary01
John killed Mary John a tué Mary
John killed Mary. John a tué Mary.
Lefrançois & Gandon, ULiS. MSW 2011 - 18
19. The ULiS project - scenario
- Machine Translation
- Management of Interlingual Knowledge Bases
-
The RDF-World
SELECT ?person
SPARQLRDF + X RDF
SPARQL WHERE {
Request ?person ikb:kill ikb:Mary01. IKB
IDBpedia
RDF X RDF
ikb:John01 RDF
Output
}
RDF interlingual
representations
IR RDF IR RDF
RDF situational Who kill@past@? Mary01 John01 kill@past Mary01.
representations SR RDF
Who kill@past@? Mary01 SR RDF
John01 kill@past Mary01.
EN
Who killed Mary ? John EN Mary
killed
InputTEXT
Who killed Mary? John killed TEXT
Output2 Mary.
Lefrançois & Gandon, ULiS. MSW 2011 - 19
20. The ULiS project - scenario
- Machine Translation
- Management of Interlingual Knowledge Bases
-
The RDF-World
SELECT ?person
SPARQL WHERE {
ikb:John01 RDF
Request ?person ikb:kill ikb:Mary01.
}
IDBpedia Output
RDF interlingual
representations
RDF situational Who kill@past@? Mary01 John01 kill@past Mary01.
representations Who kill@past@? Mary01 John01 kill@past Mary01.
Who killed Mary ? John killed Mary
Who killed Mary? John killed Mary.
Lefrançois & Gandon, ULiS. MSW 2011 - 20
21. The ULiS project - scenario
- Machine Translation
- Management of Interlingual Knowledge Bases
- Management of the Universal Linguistic Knowledge base
The RDF-World
SPARQLRDF + X RDF X RDF
SPARQL
RDF
Request ULKRDF
IKB RDF Output
RDF interlingual
representations
IR RDF IR RDF
RDF situational
representations SRFR RDF SRFR RDF SRFR RDF
InputTEXT Output1TEXT Output2TEXT
Lefrançois & Gandon, ULiS. MSW 2011 - 21
32. With the Semantic Web formalisms,
We designed a simple ILexiMOn…
Interlingual Lexical Units Classes may
be formally defined in the ILexicOn…
…by supporting the projection
of their semantic decomposition
on themselves
Lefrançois & Gandon, ILexicOn.
33. The three layers
owl:Class owl:ObjectProperty xsd:boolean
OWL owl:intersectionOf is-a
is-a
owl:propertyChainAxiom
owl:unionOf owl:hasSelf
subClassOf is-a subClassOf
core-ILexiMOn layer
:ILexicalUnit :ISemanticRelation
is-a :onISemanticRelation
subClassOf
:allValuesFrom
:ILexicalPrimitive
is-a :isObligatory range
:Entity :hasEntity
ILexicOn layer
:State true
:Person
class/instance A B
A is an instance of B
intersectionOf
property
A B
:Alive A is a subClass of B
Data-layer
B
A p
hasEntity C A B
:Mary01 :Alive01 A is the intersection A is linked to B
of B and C through property p
Lefrançois & Gandon, ULiS. MSW 2011 - 33
53. Conceptual participants
Named ConP slots
(an infinite number of) lexicalized conceptual relations
ConP inheritance
ConP partial inheritance
ConP composition
ConP merging
Optional / obligatory ConP
Relation between two ConPs
Formal definitions of ILUCs
Lefrançois & Gandon, ULiS. MSW 2011
54. Three layers
owl:Class owl:ObjectProperty xsd:boolean
OWL owl:intersectionOf is-a
is-a
owl:propertyChainAxiom
owl:unionOf owl:hasSelf
subClassOf is-a subClassOf
core-ILexiMOn layer
:ILexicalUnit :ISemanticRelation
is-a :onISemanticRelation
subClassOf
:allValuesFrom
:ILexicalPrimitive
is-a :isObligatory range
:Entity :hasEntity
ILexicOn layer
:State true
:Person
class/instance A B
A is an instance of B
intersectionOf
property
A B
:Alive A is a subClass of B
Data-layer
B
A p
hasEntity C A B
:Mary01 :Alive01 A is the intersection A is linked to B
of B and C through property p
Lefrançois & Gandon, ULiS. MSW 2011 - 55
55. ULiS: A Universal Linguistic System
- to redesign Pivot-based NLP techniques
- 100% using the Semantic Web Formalisms
- compliant with the Meaning-Text Theory
ILexicOn: The Interlingual Lexical Ontology
- formal lexicographic definitions
- Lexical functions
- Populate: SUMO, FrameNet…
- SLexicOn
- Rules, SPIN & VISL-CG3
Thank You
Maxime Lefrançois & Fabien Gandon
Edelweiss – INRIA Sophia-Antipolis – France
{Maxime.Lefrancois|Fabien.Gandon}@inria.fr
This presentation on
http://maxime-lefrancois.info