Tightly Coupled Probabilistic Description Logic Programs for the Semantic Web. by Calì, A, Lukasiewicz, T, Predoiu, L, Stuckenschmidt, H

“…In particular, it is a logic-based representation formalism that naturally fits into the landscape of Semantic Web languages. …”

Tightly Coupled Probabilistic Description Logic Programs for the Semantic Web by Calì, A, Lukasiewicz, T, Predoiu, L, Stuckenschmidt, H

“…In particular, it is a logic-based representation formalism that naturally fits into the landscape of Semantic Web languages. …”

Heuristic Ranking in Tightly Coupled Probabilistic Description Logics by Lukasiewicz, T, Martinez, V, Orsi, G, Simari, G

“…In particular, Web search companies are recently realizing that their products need to evolve towards having richer semantic search capabilities. Description logics (DLs) have been adopted as the formal underpinnings for Semantic Web languages used in describing ontologies. …”

Heuristic Ranking in Tightly Coupled Probabilistic Description Logics by Lukasiewicz, T, Martinez, M, Orsi, G, Simari, G

“…In particular,Web search companies are recently realizing that their products need to evolve towards having richer semantic search capabilities. Description logics (DLs) have been adopted as the formal underpinnings for Semantic Web languages used in describing ontologies. …”

Heuristic ranking in tightly coupled probabilistic description logics by Lukasiewicz, T, Martinez, M, Orsi, G, Simari, G

“…In particular,Web search companies are recently realizing that their products need to evolve towards having richer semantic search capabilities. Description logics (DLs) have been adopted as the formal underpinnings for Semantic Web languages used in describing ontologies. …”

Expressive Probabilistic Description Logics by Lukasiewicz, T

“…<p>The work in this paper is directed towards sophisticated formalisms for reasoning under probabilistic uncertainty in ontologies in the Semantic Web. …”

Learning structured video descriptions: Automated video knowledge extraction for video understanding tasks by Vasile, D, Lukasiewicz, T

“…While most of the current solutions to vision-to-language problems are inspired from machine translation methods, aiming to directly map visual features to text, several recent results on image and video understanding have proven the importance of specifically and formally representing the semantic content of a visual scene, before reasoning over it and mapping it to natural language. …”