By Pedro José Vivancos-Vicente, Jesualdo Tomás Fernández-Breis, Rodrigo Martínez-Béjar (auth.), Achim Hoffmann, Byeong-ho Kang, Debbie Richards, Shusaku Tsumoto (eds.)
Since wisdom was once famous as a very important a part of clever platforms within the Nineteen Seventies and early Nineteen Eighties, the matter of the systematic and effective acquisition of data used to be a major examine challenge. within the early days of professional structures, the point of interest of data acquisition used to be to layout an appropriate wisdom base for the matter - major by way of eliciting the data from on hand specialists earlier than the process was once c- pleted and deployed. through the years, substitute methods have been built, equivalent to incremental ways which might construct a provisional wisdom base before everything and may enhance the data base whereas the method was once utilized in perform. different techniques sought to construct wisdom bases totally instantly by way of using machine-learning equipment. lately, an important curiosity constructed concerning the challenge of making ontologies. Of specific curiosity were ontologies that may be re-used in a few methods and will almost certainly be shared throughout diff- ent clients in addition to domain names. The Pacific wisdom Acquisition Workshops (PKAW) have an extended culture in delivering a discussion board for researchers to switch the newest principles at the subject. Parti- pants come from around the globe yet with a spotlight at the Pacific Rim quarter. PKAW is one in all 3 foreign wisdom acquisition workshop sequence held within the Pacific-Rim, Canada and Europe during the last 20 years. the former Pacific wisdom Acquisition Workshop, PKAW 2004, had a powerful emphasis on inc- psychological wisdom acquisition, laptop studying, neural networks and knowledge mining.
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Additional info for Advances in Knowledge Acquisition and Management: Pacific Rim Knowledge Acquisition Workshop, PKAW 2006, Guilin, China, August 7-8, 2006, Revised Selected Papers
Polanyi and van den Berg  studied anaphoric resolution of quantifiers and cardinals and employed quantifier logic framework. g. g. ) as a time suffix (see also  and  for time phrases in weather forecasts). FACILE  in MUC used a rule-based named entity recognition system incorporating a chart-parsing technique and semantic categories such as PERSON, ORGANISATION, DATE, and TIME. g. a word trigram - left and right strings of a numeral string). The rule-based number processing system analyses each number string morpho-syntactically in terms of its type.
Richards Currently, ontologies are seen to play a pivotal role in the Semantic Web, together with semantic markup languages. However, the effort involved in the two-step authoring and annotation process in a formalism such as OIL and/or RDF “tends to reintroduce the impulse to set up the ‘right’ ontologies in advance. This seems contrary to letting ‘anyone say anything’  or, perhaps, it simply raises the burden of generating Semantic Web content to an inhibitory level” . To address this issue, Kalyanpur et al  offer the Semantic Markup Ontology and RDF Editor (SMORE) to support adhoc ontology use, modification, combination and extension.
The rule-based number processing system analyses each number string morpho-syntactically in terms of its type. In the case of a separate numeral string, its assumed categories are produced at the lexical level. For example, “20” would be QUANT, DAY, or NUMBER at the lexical level. g. speed unit in “24km/h”). In this paper, the different types of rule needed to classify numeral strings are described in detail. In the next section, the categories and rules used in this system are described. In section 3, we describe the understanding process for both separate and affixed numeral strings in more detail, and focus on classification rules.
Advances in Knowledge Acquisition and Management: Pacific Rim Knowledge Acquisition Workshop, PKAW 2006, Guilin, China, August 7-8, 2006, Revised Selected Papers by Pedro José Vivancos-Vicente, Jesualdo Tomás Fernández-Breis, Rodrigo Martínez-Béjar (auth.), Achim Hoffmann, Byeong-ho Kang, Debbie Richards, Shusaku Tsumoto (eds.)