This can be used to add another stemming to solr using stemming files
that are expressed as synonyms for grammatical alternatives. The
synonym/stemming files must have the following form:
- each line is a comma-separated list of synonyms
- the list of synonyms may be enclosed with {} (like the GSA synonyms
file)
- the file may contain comments which are lines starting with a '#'
The synonym file(s) must be placed in DATA/DICTIONARIES/synonyms/ and
are activated by default whenever a synonym file is in place.
Then, for each word that is found in a document all synonyms are added
to a long text field which is stored into synonyms_t. Processes using
the synonyms must query with that field as optional matcher.
title_count_i, title_chars_val, title_words_val
description_count_i, description_chars_val, description_words_val
- added many asserts to ensure data type correctness from YaCy to Solr
and vice versa
- made many fixes according to new findings from these asserts (!)
writings to the Metadata-DB are now also done to solr. This includes
metadata transfer during search and rwi transfer.
The new/added solr fields are:
## time when resource was loaded
load_date_dt
## date until resource shall be considered as fresh
fresh_date_dt
## id of the host, a 6-byte hash that is part of the document id
host_id_s
## ids of referrer to this document
referrer_id_ss
## the md5 of the raw source
md5_s
## the name of the publisher of the document
publisher_t
## the language used in the document; starts with primary language
language_ss
## an external ranking value
ranking_i
## the size of the raw source
size_i
## number of links to audio resources
audiolinkscount_i
## number of links to video resources
videolinkscount_i
## number of links to application resources
applinkscount_i
of the major CPU users during snippet verification. The class was not
efficient for two reasons:
- it used a too complex input stream; generated from sources and UTF8
byte-conversions. The BufferedReader applied a strong overhead.
- to feed data into the SentenceReader, multiple toString/getBytes had
been applied until a buffered Reader from an input stream was possible.
These superfluous conversions had been removed.
- the best source for the Sentence Reader is a String. Therefore the
production of Strings had been forced inside the Document class.
A limit was necessary because some web pages have such huge numbers of
links that it can easily cause a OOM just by the number of links.
The quesion if the number of 1000 links is sufficient or too weak must
be answered with the result of testing this feature.
- vocabulary annotation is not done any more into the metadata of urldb
- vocabularies are written into the jena triplestore using a rdf
vocabulary
- vocabularies for rdf tripel must be updated; refactoring done
- with the new navigation tags in the triplestore a faster
pre-urldb-lookup is possible: navigation is processed now within the RWI
during pre-ranking retrieval
- added also a Owl vocabulary stub to add the plain-text url to the
triplestore using the owl:sameas predicate
later
- added abstract add, delete, get methods in the triplestore
- added generation of triples after auto-annotation
- migrated all MultiProtocolURI objects to DigestURI in the parser since
the url hash is needed as subject value in the triples in the triple
store
rewrite engine to customize existing webpages. originally implemented by
Florian Richter.
Conflicts:
source/de/anomic/http/server/HTTPDProxyHandler.java
- added log warnings in case that search processes run into time-out
situations
- better concurrency for Integer formatter (used a non-synchronized
formatter before)
- bugfix for search termination (a poison pill was missing)
- added timeout parameters for search (again) -> target is, that they
are never reached.
- search request are now made using a map boundary
- search results are only computed for the map boundary
- the number of results is adopted to the results in the visible range
- added a double-buffering for the search result markers
- added a search query option for the search results:
/radius/<lat>/<lon>/<radius>
queue and not from virtual documents generated by the parser.
- The parser now generates nice description texts for NOLOAD entries
which shall make it possible to find media content using the search
index and not using the media prefetch algorithm during search (which
was costly)
- Removed the media-search prefetch process from image search
only links where the content can be parsed. All non-parseable links are
placed into the noload queue. The search process must therefore be able
to filter out non-text search results.
- This fixes the problem that image search results appeared in the text
search.
- The interactive search can retrieve now ALL types of links
- The p2p interface is now extended to retrieve only certain types of
links (text, image, video, apps)
- The search process has an extension to filter the right document type
according to the search query
1. Improved and fixed language detection:
1.1 Identificator.java - recognition fix (improved)
1.2 DCEntry.java - fix (changed detection order due to detection from
tld in many cases is incorrect)
1.3 MultiProtocolURI.java - fixed and enhanced language from tld
detection (all currently used top-level domains; ccTLD added but not
tested).
2. Ukrainian language update.
3. Main Slavic languages langstats (tested and works fine).
Michael Peter Christen