| Handbook of knowledge representation F Van Harmelen, V Lifschitz, B Porter Elsevier, 2008 | 815 | 2008 |
| Concept Learning and the Problem of Small Disjuncts. RC Holte, L Acker, BW Porter IJCAI 89, 813-818, 1989 | 611 | 1989 |
| Concept learning and heuristic classification in weak-theory domains BW Porter, R Bareiss, RC Holte Artificial intelligence 45 (1-2), 229-263, 1990 | 449 | 1990 |
| Protos: An exemplar-based learning apprentice ER Bareiss, BW Porter, CC Wier Machine learning, 112-127, 1990 | 325 | 1990 |
| A library of generic concepts for composing knowledge bases K Barker, B Porter, P Clark Proceedings of the 1st international conference on Knowledge capture, 14-21, 2001 | 158 | 2001 |
| PROTOS: An experiment in knowledge acquisition for heuristic classification tasks B Porter, ER Bareiss Artificial Intelligence Laboratory, University of Texas at Austin, 1986 | 127 | 1986 |
| Developing and empirically evaluating robust explanation generators: The KNIGHT experiments J Lester, B Porter Computational Linguistics 23 (1), 65-101, 1997 | 125 | 1997 |
| Project halo: Towards a digital aristotle NS Friedland, PG Allen, G Matthews, M Witbrock, D Baxter, J Curtis, ... AI magazine 25 (4), 29-29, 2004 | 116 | 2004 |
| Project halo update—progress toward digital aristotle D Gunning, VK Chaudhri, PE Clark, K Barker, SY Chaw, M Greaves, ... AI Magazine 31 (3), 33-58, 2010 | 106 | 2010 |
| Knowledge entry as the graphical assembly of components P Clark, J Thompson, K Barker, B Porter, V Chaudhri, A Rodriguez, ... Proceedings of the 1st international conference on Knowledge capture, 22-29, 2001 | 106 | 2001 |
| Automated modeling of complex systems to answer prediction questions J Rickel, B Porter Artificial Intelligence 93 (1-2), 201-260, 1997 | 100 | 1997 |
| Building concept representations from reusable components P Clark, B Porter AAAI/IAAI, 369-376, 1997 | 99 | 1997 |
| Rules and Precedents as Complementary Warrants. K Branting, BW Porter AAAI, 3-9, 1991 | 90 | 1991 |
| Supporting start-to-finish development of knowledge bases R Bareiss, BW Porter, KS Murray Knowledge Acquisition: Selected Research and Commentary: A Special Issue of …, 1990 | 84 | 1990 |
| Automated modeling for answering prediction questions: Selecting the time scale and system boundary J Rickel, B Porter AAAI 94, 1191-1198, 1994 | 76 | 1994 |
| A knowledge-based approach to question-answering P Clark, J Thompson, B Porter Proc. AAAI 99, 43-51, 1999 | 71 | 1999 |
| Representing roles and purpose J Fan, K Barker, B Porter, P Clark Proceedings of the 1st international conference on Knowledge capture, 38-43, 2001 | 70 | 2001 |
| Learning by reading: A prototype system, performance baseline and lessons learned K Barker, B Agashe, SY Chaw, J Fan, N Friedland, M Glass, J Hobbs, ... AAAI 7, 280-286, 2007 | 69 | 2007 |
| Experimental goal regression: A method for learning problem-solving heuristics BW Porter, DF Kibler Machine Learning 1, 249-285, 1986 | 62 | 1986 |
| Towards the open advancement of question answering systems D Ferrucci, E Nyberg, J Allan, K Barker, E Brown, J Chu-Carroll, A Ciccolo, ... IBM, Armonk, NY, IBM Res. Rep 45, 2009 | 57 | 2009 |
