A model of information retrieval based on a terminological logic
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Large test collection experiments on an operational, interactive system: Okapi at TREC
TREC-2 Proceedings of the second conference on Text retrieval conference
Probabilistic Datalog—a logic for powerful retrieval methods
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
A probabilistic relational algebra for the integration of information retrieval and database systems
ACM Transactions on Information Systems (TOIS)
DOLORES: a system for logic-based retrieval of multimedia objects
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Probabilistic models of information retrieval based on measuring the divergence from randomness
ACM Transactions on Information Systems (TOIS)
A frequency-based and a poisson-based definition of the probability of being informative
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Probabilistic, object-oriented logics for annotation-based retrieval in digital libraries
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Compiling Comp Ling: practical weighted dynamic programming and the Dyna language
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Top-k query evaluation with probabilistic guarantees
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Efficient query evaluation on probabilistic databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
The VLDB Journal — The International Journal on Very Large Data Bases
Declarative information extraction using datalog with embedded extraction predicates
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Translation as weighted deduction
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Modelling probabilistic inference networks and classification in probabilistic datalog
SUM'10 Proceedings of the 4th international conference on Scalable uncertainty management
PIRE: an extensible IR engine based on probabilistic datalog
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
A schema-driven approach for knowledge-oriented retrieval and query formulation
KEYS '12 Proceedings of the Third International Workshop on Keyword Search on Structured Data
Extractive summarisation via sentence removal: condensing relevant sentences into a short summary
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Information Retrieval Models: Foundations and Relationships
Information Retrieval Models: Foundations and Relationships
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TF-IDF, BM25, language modelling (LM), and divergence-from-randomness (DFR) are popular ranking models. Providing logical abstraction for information search is important, but the implementation of ranking algorithms in logical abstraction layers such as probabilistic Datalog leads to many challenges regarding expressiveness and scalability. Though the ranking algorithms have probabilistic roots, the ranking score often is not probabilistic, leading to unsafe programs from a probabilistic point of view. In this paper, we describe the evolution of probabilistic Datalog to provide concepts required for modelling ranking algorithms.