Hugo Liu & Henry Lieberman (2002). Robust photo retrieval using world semantics. Proceedings of the LREC 2002 Workshop on Creating and Using Semantics for Information Retrieval and Filtering, Las Palmas, 15–20, LREC Press.
Liu, H., & Lieberman, H. (2002). Robust photo retrieval using world semantics. In Proceedings of the LREC 2002 Workshop on Creating and Using Semantics for Information Retrieval and Filtering, Las Palmas (pp. 15–20). LREC Press.
@inproceedings{liu2002robust,
author = {Hugo Liu and Henry Lieberman},
title = {Robust photo retrieval using world semantics},
booktitle = {Proceedings of the LREC 2002 Workshop on Creating and Using Semantics for Information Retrieval and Filtering, Las Palmas},
pages = {15--20},
publisher = {LREC Press},
url = {https://starheartsong.com/papers/pdf/LREC2002-Cris.pdf},
year = {2002}
}This paper gives the commonsense retrieval engine inside ARIA a clear technical account. Pattern rules convert more than 400,000 Open Mind sentences into 50,000 predicate structures; normalization produces a graph of 30,000 concepts and 160,000 weighted edges. Spreading activation expands a query, rewards associations supported by several paths, and discounts overly general nodes. “Bride,” for example, reaches wedding, groom, church, flower girl, veil, and wedding dress—but also lake, mountain, and other noise. That mixture defines the boundary. The mechanism had no formal evaluation, reflected a predominantly middle-class American corpus, and did not distinguish word senses. It was intended for ordinary consumer photographs and remained useful because ARIA allowed the writer to ignore bad suggestions.